CN116822183B - Implementation method and device for bringing environmental factors into aluminum alloy material design - Google Patents
Implementation method and device for bringing environmental factors into aluminum alloy material design Download PDFInfo
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Abstract
The invention provides a realization method and a device for bringing environmental factors into aluminum alloy material design, and relates to the field of ecological environment material design and production. In the planning and scheme making stage, the life cycle parameters of each scheme are obtained and written into the memory. A performance-demand matrix is constructed and written to memory. And calling the comprehensive performance index determined by the performance parameters and the performance requirement matrix in the memory, and recording the comprehensive performance index in the memory. And calling life cycle parameters in the memory, and calculating to obtain a resource intensity value and a carbon emission value by using the processor and the memory. And calculating ecological design results of all schemes by using a processor and recording the ecological design results into a memory. And calling the results of all schemes in the memory, and performing recognition comparison, wherein the scheme which does not meet the requirements needs to be redesigned until the scheme meets the requirements. The invention provides an effective solution for the ecological design of aluminum alloy materials aiming at the problems of lacking a method and a device for comprehensively balancing quantitative relations among material performance, resource and energy consumption and environmental influence.
Description
Technical Field
The invention relates to the technical field of ecological environment material design and production, in particular to a realization method and a device for bringing environmental factors into aluminum alloy material design.
Background
Currently, human activity creates a number of environmental problems. Such as warming, exhaustion of resources, air pollution, reduced biodiversity, etc., and destroy natural sustainability. Industry is a major source of environmental impact. The material industry is upstream of industrial product production and contributes to the environmental impact. The traditional material design mainly considers four factors of performance, properties, composition components and processing technology, and does not take environmental factors into design. However, the incorporation of environmental factors into material design systems is a powerful tool from the source to reduce industrial pollution and environmental impact of material production. The ecological design method can combine environmental factors with traditional material design factors, and from the beginning of material design, a series of links such as material design, preparation, recovery and the like are technically optimized on the premise of not damaging the material performance, so that the resource energy consumption and pollutant emission of the whole life cycle of material production are reduced. The method is applied to material design, thereby being beneficial to realizing green transformation of material production and improving the international competitiveness of materials and downstream products.
In the traditional aluminum alloy material design process, alloy components and processing technology are main objects of research. However, this type of design only considers performance requirements, lacking further consideration of environmental impact. If the performance, the resource energy consumption and the carbon emission factors are simultaneously brought into the design range, quantitative results of the factors are lacking, the three factors cannot be comprehensively compared, and a decision maker is difficult to determine the optimal result. Therefore, how to use the full life cycle idea to construct the ecological design theory of the material, determine the influence of the optimization of the component design and the preparation process on the performance, comprehensively consider the scientific relation among the material performance, the resource energy consumption and the carbon emission factors, realize the preference among different aluminum alloy material schemes, and have important practical significance for the preparation of the aluminum alloy material with high performance and low environmental load.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide a realization method and a device for incorporating environmental factors into aluminum alloy material design.
In order to achieve the above object, the present invention provides the following solutions:
an implementation method for incorporating environmental factors into an aluminum alloy material design, comprising:
Determining a design purpose, selecting a reference object, determining characteristics, quantitatively evaluating the performance, the resource energy consumption and the environmental influence of the reference object, and providing ecological design improvement opinion according to an evaluation result;
determining various performance parameter ranges of a material design target, according to the relation among the components, processes and performances of the existing materials, formulating components and process parameter schemes of a plurality of groups of target materials, analyzing the problems caused by the current design scheme when reaching the design target by referring to the reference object, comprehensively evaluating the formulated schemes by a plurality of elements, eliminating the schemes which do not meet the requirements or redesigning the schemes according to the existing problems, and determining the schemes which meet the requirements as prototype schemes;
laboratory preparation and testing are carried out on the prototype scheme, full life cycle model parameters of the prototype scheme are updated according to experimental data, indexes are evaluated again, actual production data are obtained through small-scale production, an improvement space is sought by the evaluating indexes again, whether the prototype scheme meets the standards or not is determined, and if the prototype scheme does not meet the standards, the step of 'determining each performance parameter range of a material design target' is returned;
the implementation stage is performed according to a prototype solution that meets the standards.
Preferably, the composition and process parameter schemes of multiple groups of target materials are planned, the problems caused by the current design scheme when the design target is reached are analyzed by referring to the reference object, the planned schemes are comprehensively evaluated by multiple elements, the schemes which do not meet the requirements are eliminated or redesigned according to the existing problems, and the schemes which meet the requirements are determined as prototype schemes, and the method comprises the following steps:
determining multiple material designs, establishing life cycle models and parameters of the material designs, wherein the parameters comprise components, manufacturing equipment, energy consumption, material investment, mechanical properties and corrosion resistance, and recording the life cycle models and parameters into a memory;
according to the application field or application scene of the material, determining the weight of each property of the material to the requirement and the weight of each requirement, and recording the weight into a memory, and constructing a property-requirement matrix; the weight comprises the weight of the hardness, strength, corrosion resistance and the like of the ship aluminum alloy against the deformation requirement and the self weight of the deformation resistance requirement;
invoking performance parameters and performance-requirement matrixes in a memory, calculating various performance weight coefficients and comprehensive performance index values by using a processor, and recording the performance weight coefficients and the comprehensive performance index values in the memory;
Calling the components, manufacturing equipment, energy consumption and material input parameters of each scheme in the memory, calculating resource consumption data by using the processor and recording the resource consumption data into the memory;
calling the components, manufacturing equipment, energy consumption and material input parameters of each scheme in the memory, and calculating carbon emission data by using the processor and recording the carbon emission data into the memory;
calling comprehensive performance index values, resource consumption data and carbon emission data, calculating ecological design results of all schemes by using a processor, and recording the ecological design results into a memory;
and calling the results of all schemes in the memory, performing identification comparison with a reference object, returning to the step of determining multiple material design schemes when the scheme which does not meet the requirements is redesigned until the requirement is met.
Preferably, the determining a plurality of material designs includes:
determining the types and input amounts of various alloy elements in each material design scheme, determining specific processing technology and equipment, calling the input amounts of substances and energy sources by combining a production system, determining a production scheme, and determining various performance parameters through laboratory preparation and testing;
and establishing a writable and readable large-capacity memory, and marking all obtained parameters into the large-capacity memory, wherein the parameters comprise components, equipment, energy consumption, material investment and material properties.
Preferably, the method further comprises:
according to the use requirement of the material, the weight coefficient of the requirement is further clearly subdivided, and the material has deformation resistance, durability and easy processing and forming;
correlating performance indexes influencing each requirement, and dividing contribution degrees of each performance and corresponding requirements; the contribution degree of the performance to the use requirement is written into the established mass storage for further reading and calling.
Preferably, invoking the performance parameters and the performance-requirement matrix in the memory, calculating each performance weight coefficient and the comprehensive performance index value by the processor, and logging in the memory, including:
calculating weight coefficients and comprehensive performance index values of various performances of the material, and writing performance weight coefficient calculation logic and a performance comprehensive index value calculation program into a memory;
invoking a performance demand matrix, performance parameters and logic codes in a memory, calculating a performance comprehensive index value through a processor and counting the result into the memory;
wherein, the formula for calculating the weight coefficient and the comprehensive performance index value of each performance of the material is as follows:
PD j : performance requirements; PW (pseudo wire) j : performance weights; n=1, 2 … …, maximum performance class number;
PI: a performance index value; pj is a j-th class performance test index value of the target object; p (P) j ' is the j-th class performance test index value of the reference object.
Preferably, invoking the composition, manufacturing equipment, energy consumption and material input parameters of each solution in the memory, calculating and logging resource consumption data into the memory using the processor, comprising:
writing the CML resource energy consumption characterization processing method into a memory, calling the input components, equipment, energy consumption and material input parameters in the memory, and calling the characterization factor ADP of the CML method in the memory i Or autonomously inputting the characterization factors, calculating resource energy consumption data by using the processor and calling a CML calculation model in the memory, and writing the result into the memory;
the formula for calculating the resource energy consumption data is as follows:
ADP＝∑ADP i ×m i
ADP represents the characterization parameter results of resource exhaustion, ADP i Characterization factor, m, representing non-renewable resources i Representing the consumption of non-renewable resources.
Preferably, the method for calling the comprehensive performance index value, the resource consumption data and the carbon emission data, calculating ecological design results of each scheme by using the processor and recording the ecological design results into the memory comprises the following steps:
constructing a carbon emission accounting characterization model taking various parameter factors into consideration, wherein the model comprises energy types, energy consumption, energy emission coefficients, power structures, emission coefficients of different power generation modes, various intermediate product yields and final product yields;
Writing the logic code into the memory;
the related various common factors are collected and arranged and then written into a memory, or the emission factors are independently determined and written into the memory;
invoking parameter indexes in a memory, invoking the written calculation logic codes and various factors, calculating carbon emission results of various schemes through a processor and memorizing the carbon emission results in the memory; the formula of the logic code is as follows:
wherein f p,i : p consumption of energy source in the product unit process i; e (E) i,j : class i energy j greenhouse gas emission factors; e, e p : p consumption of product unit process power; e (E) e,j : generating j types of greenhouse gas emission factors by using electric power; p (P) p : p product unit process emissions; m is m p : the product consumption of the complete production flow p; CI (CI) j : class j greenhouse gas characterization factors; j: greenhouse gases; i: an energy source; and p: a product; n: number of unit processes, m n ＝1。
Preferably, the method for calling the comprehensive performance index value, the resource consumption data and the carbon emission data, calculating ecological design results of each scheme by using the processor and recording the ecological design results into the memory comprises the following steps:
after obtaining single index values of resource influence, carbon emission and material performance, synthesizing the three values to obtain an ecological design comprehensive index value, if the requirements on various indexes of the product design are definite, adopting a matrix comprehensive evaluation model, and writing the matrix comprehensive evaluation model into a memory; the formula of the matrix comprehensive evaluation model is as follows:
Wherein w is PI ，w RI ，w GI : performance, resource impact, and weight coefficient of carbon emission; PI (proportional integral) n : n performance index value of the product; RI (RI) n : n resource impact index value of the product; GI (GI) n : n carbon emission index value of the product; a, a n : n product or protocol synthesis; the number of products or design schemes is n;
before comprehensive decision making, each single index is subjected to dimensionalization treatment to realize comprehensive calculation of each index, and calculation logic is written into a memory; the formula of the dimensionalization process is as follows:
wherein index n,k ,: results of dimensionality removal of n products or scheme k indexes, PI n ,RI n ,GI n ；indicator n,k : n products or scheme original k index results; indicator re,k The method comprises the steps of carrying out a first treatment on the surface of the n products or square reference k index results;
if the requirements of all indexes are not clear, comprehensively evaluating by adopting a weight removing method, and writing calculation logic into a memory; the formula of the calculation logic is as follows:
EDI＝a×PER+b×RCI+c×CEI；
wherein, EDI: an ecological design comprehensive index value; a: performance weights; PER: a performance index value; b: resource consumption weights; RCI: a resource index value; c: carbon emission weight; CEI: a carbon emission index value.
An implementation apparatus for incorporating environmental factors into an aluminum alloy material design, comprising:
the planning module is used for determining design purposes, selecting a reference object, determining characteristics, quantitatively evaluating the performance, the resource energy consumption and the environmental influence of the reference object, and providing ecological design improvement comments according to evaluation results;
The scheme making module is used for determining various performance parameter ranges of a material design target, according to the relation among the components, the process and the performance of the existing materials, making up a plurality of groups of components and process parameter schemes of the target materials, analyzing the problems caused by the current design scheme reaching the design target by comparing the reference object, carrying out multi-element comprehensive evaluation on the made scheme, eliminating the scheme which does not meet the requirement or redesigning the scheme according to the existing problems, and determining the scheme which meets the requirement as a prototype scheme;
the scheme verification module is used for carrying out laboratory preparation and test on the prototype scheme, updating the full life cycle model parameters of the prototype scheme according to experimental data, evaluating indexes again, obtaining actual production data through small-scale production, evaluating indexes again to seek improvement space, determining whether the prototype scheme meets the standard or not, and returning to the step of determining various performance parameter ranges of a material design target if the prototype scheme does not meet the standard;
and the implementation module is used for carrying out the implementation stage according to the standard prototype scheme.
A computing device for processing data capable of performing various arithmetic, logical operations, and control functions; a memory communicatively coupled to the at least one processor; the memory stores one or more programs; the program comprises means for performing the environmental factor incorporating aluminum alloy material design of any of claims 1-8.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention provides a realization method and a device for bringing environmental factors into aluminum alloy material design, wherein the method comprises the following steps: determining a design purpose, selecting a reference object, determining characteristics, quantitatively evaluating the performance, the resource energy consumption and the environmental influence of the reference object, and providing ecological design improvement opinion according to an evaluation result; determining various performance parameter ranges of a material design target, according to the relation among the components, processes and performances of the existing materials, formulating components and process parameter schemes of a plurality of groups of target materials, analyzing the problems caused by the current design scheme when reaching the design target by referring to the reference object, comprehensively evaluating the formulated schemes by a plurality of elements, eliminating the schemes which do not meet the requirements or redesigning the schemes according to the existing problems, and determining the schemes which meet the requirements as prototype schemes; laboratory preparation and testing are carried out on the prototype scheme, full life cycle model parameters of the prototype scheme are updated according to experimental data, indexes are evaluated again, actual production data are obtained through small-scale production, an improvement space is sought by the evaluating indexes again, whether the prototype scheme meets the standards or not is determined, and if the prototype scheme does not meet the standards, the step of 'determining each performance parameter range of a material design target' is returned; the implementation stage is performed according to a prototype solution that meets the standards. The invention can effectively identify the feasibility of various schemes, compare the various schemes with the reference object, and effectively bring environmental factors into the material design, thereby being beneficial to realizing the production and the transformation of the full life cycle aluminum alloy material from the design stage and the green development of the power-assisted industry field.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings that are needed in the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of an implementation method provided by an embodiment of the present invention;
FIG. 2 is a schematic diagram of steps performed in accordance with an embodiment of the present invention;
FIG. 3 is a schematic flow chart of an ecological design method in a planning and scheme making stage according to an embodiment of the present invention;
FIG. 4 is an algorithm chart of a method for weight removal optimization according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an ecological design calculating device according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The terms "first," "second," "third," and "fourth" and the like in the description and in the claims of this application and in the drawings, are used for distinguishing between different objects and not for describing a particular sequential order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, inclusion of a list of steps, processes, methods, etc. is not limited to the listed steps but may alternatively include steps not listed or may alternatively include other steps inherent to such processes, methods, products, or apparatus.
The invention aims to provide a realization method and a device for bringing environmental factors into the design of an aluminum alloy material, which can realize the production and the green transformation of the aluminum alloy material with the full life cycle from the design stage.
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
Fig. 1 is a flowchart of an implementation method provided by an embodiment of the present invention, and as shown in fig. 1, the present invention provides an implementation method for incorporating environmental factors into an aluminum alloy material design, including:
step 100: determining a design purpose, selecting a reference object, determining characteristics, quantitatively evaluating the performance, the resource energy consumption and the environmental influence of the reference object, and providing ecological design improvement opinion according to an evaluation result;
step 200: determining various performance parameter ranges of a material design target, according to the relation among the components, processes and performances of the existing materials, formulating components and process parameter schemes of a plurality of groups of target materials, analyzing the problems caused by the current design scheme when reaching the design target by referring to the reference object, comprehensively evaluating the formulated schemes by a plurality of elements, eliminating the schemes which do not meet the requirements or redesigning the schemes according to the existing problems, and determining the schemes which meet the requirements as prototype schemes;
step 300: laboratory preparation and testing are carried out on the prototype scheme, full life cycle model parameters of the prototype scheme are updated according to experimental data, indexes are evaluated again, actual production data are obtained through small-scale production, an improvement space is sought by the evaluating indexes again, whether the prototype scheme meets the standards or not is determined, and if the prototype scheme does not meet the standards, the step of 'determining each performance parameter range of a material design target' is returned;
Step 400: the implementation stage is performed according to a prototype solution that meets the standards.
Optionally, referring to fig. 2, the ecological design method in this embodiment implements a flow, including:
step S110: the planning stage is mainly divided into 4 steps of determining the design objective, selecting the object and determining the characteristics, quantitatively evaluating the performance, the resource strength and the carbon emission strength of the reference object, and providing ecological design improvement opinion according to the result.
Step S120: in the scheme making stage, a material design or improvement scheme is made, various performance parameter ranges of a material design target are determined, a plurality of groups of target material components and process parameter schemes are initially made according to the relation among the existing material components, processes and performances, other problems possibly caused by the current design scheme reaching the design target are analyzed by comparing with a reference object, the multi-element comprehensive evaluation is carried out on the set scheme, the scheme which does not meet the requirement is eliminated or redesigned according to the existing problems, and the scheme which meets the requirement is determined as a prototype scheme.
Step S130: and in the scheme verification stage, verifying feasibility and preference of the prototype scheme, namely carrying out laboratory preparation and testing on the prototype scheme, updating full life cycle model parameters of the scheme according to experimental data, evaluating indexes again, obtaining actual production data through small-scale production, evaluating indexes again, seeking an improvement space, determining whether the scheme meets the standard or not, entering the next stage after the scheme meets the standard, and returning the scheme to the scheme making stage after the scheme does not meet the standard.
Step S140: and in the implementation stage, after scheme verification is completed, the implementation stage can be entered. But ecological design is an iterative process that may find problems not considered before in production practice, requiring modification and evaluation of the solution again.
S110, planning stage: design goals and implementations are determined. First, the purpose of the design is determined, a reference object is selected, and a feature is determined. Such as raw material input, processing technology, aluminum alloy performance and the like. And quantitatively evaluating the performance, the resource energy consumption and the environmental influence of the reference object, and proposing improvement measures and suggestions according to the evaluation result.
S120, a scheme making stage: and (5) making a material design or improvement scheme. Various performance parameter ranges of the material design target are determined,
according to the relation among the components, the process and the performance of the existing materials, the component and the process parameter schemes of a plurality of groups of target materials are preliminarily drawn, other problems possibly caused when the current design scheme reaches the design target are analyzed by comparing with the reference object, the drawn scheme is comprehensively evaluated by a plurality of elements, the scheme which does not meet the requirement is eliminated or redesigned according to the existing problems, and the scheme which meets the requirement is determined as the prototype scheme.
S130, scheme verification stage: and verifying the feasibility and preference of the prototype scheme. Laboratory preparation and testing are carried out on the scheme, and the scheme which does not meet the requirements returns to the scheme making stage to be designed again. And adjusting life cycle model parameters according to experimental data, and performing comprehensive evaluation. And collecting actual technological parameters by small-scale trial production, adjusting life cycle model parameters, completing comprehensive evaluation again, and judging whether the standard is reached. If the standard is not met, returning to the scheme making stage, and entering the implementation stage after the standard is met.
S140, implementation stage: and entering an actual production process to finish the ecological design of the aluminum alloy material.
In a first aspect, the present invention provides a method of incorporating multiple factors into a material design during a planning and planning stage, wherein the method comprises:
s210: and determining various material design schemes (including reference objects), establishing life cycle models and parameters of the schemes, including parameters such as components, manufacturing equipment, energy consumption, material input, mechanical properties, corrosion resistance and the like, and recording the parameters into a memory.
S220: and determining the weight of each property of the material to the requirement according to the application field or application scene of the material, and recording the weight of each requirement into a memory. Such as the hardness, strength, corrosion resistance, etc. of the ship aluminum alloy, against the deformation requirement. A performance-demand matrix is constructed.
S230: and calling the performance parameters and the performance-requirement matrix in the memory, calculating each performance weight coefficient and the comprehensive performance index value by using the processor, and recording the performance weight coefficient and the comprehensive performance index value in the memory.
S240: the components, manufacturing equipment, energy consumption and material input parameters of each scheme in the memory are called, and the processor is used for calculating resource consumption data and recording the resource consumption data into the memory.
S250: and calling the components, manufacturing equipment, energy consumption and material input parameters of each scheme in the memory, and calculating carbon emission data by using the processor and recording the carbon emission data in the memory.
S260: and calling the comprehensive performance index value, the resource consumption data and the carbon emission data, calculating ecological design results of all schemes by using the processor, and recording the ecological design results into the memory.
S270: and calling the results of all schemes in the memory, performing identification comparison with the reference object, returning to the S210 when the scheme which does not meet the requirements is redesigned until the requirements are met.
Further, step S210 includes:
s211: determining the types and input amounts of various alloy elements in each material design scheme, determining specific processing technology and equipment, calling the input amounts of substances and energy sources by combining a production system, determining a production scheme, and determining various performance parameters through laboratory preparation and testing.
S212: and establishing a writable and readable large-capacity memory, and marking all obtained parameters into the memory, wherein the parameters comprise components, equipment, energy consumption, material investment, material performances and the like.
Further, step S220 includes:
s221: according to the use requirement of the material, the weight coefficient of the requirement, such as deformation resistance, durability, easy processing and forming and the like, is further clearly subdivided. And correlating performance indexes affecting each requirement, and dividing the contribution degree of each performance corresponding to the requirement.
S222: the usage demand category, the usage demand weight (percentage), the performance category, and the degree of contribution (percentage) of the performance to the usage demand are written into the memory established in S212 for further reading calls.
The performance-demand matrix is shown in the following table:
further, step S230 includes:
s231: the corresponding relation between the multiple performances of the material and the whole application requirement and the importance degree thereof, namely the performance weight coefficient, and the comprehensive performance index value of a certain material can be obtained by utilizing the weight coefficient and the test index value of each performance of the material. Writing the performance weight coefficient calculation logic and the performance comprehensive index value calculation program into a memory:
PD j performance requirements; PW (pseudo wire) j Performance weights; n=1, 2 … …, maximum performance class number.
PI is a performance index value; p (P) j A j-th class performance test index value of the target object; p'. j The j-th class performance test index value is the reference object.
S232: and calling a performance demand matrix, performance parameters and logic codes in the memory, calculating a performance comprehensive index value by the processor, and counting the result into the memory.
Further, step S240 includes:
s241: the intensity of the consumption of the resource energy related to the carbon emission generation in the aluminum alloy production process can be characterized by adopting a characterization method. The CML method can effectively realize the characterization processing of the resource energy consumption. Writing the resource energy consumption calculation logic into a memory:
ADP＝∑ADP i ×m i
ADP represents the characterization parameter results of resource exhaustion, ADP i Characterization factor, m, representing non-renewable resources i Representing the consumption of non-renewable resources.
S242: calling a characterization factor ADP of a CML method in memory i Or autonomously input a characterization factor.
S243: calling the components written in the step S212 in the memory, equipment, energy consumption and material input parameters, calling the calculation logic codes written in the step S241 and the characteristic factors in the step S242, calculating the resource energy consumption results of all schemes through the processor, and writing the resource energy consumption results into the memory.
Further, step S250 includes:
s251: the carbon emission sources for aluminum alloy production mainly comprise greenhouse gas emission generated by combustion consumption of various energy sources, indirect emission generated by secondary energy power required for production and direct greenhouse gas emission generated by various reactions in the process flow. Accounting and analysis of carbon emissions from aluminum alloy manufacturing requires determination of specific characterization parameters depending on the source of the carbon emissions. Mainly comprises energy source types, energy consumption, energy source emission coefficient (factor), electric power structure, emission coefficient of different power generation modes, output of each intermediate product, output of the final product and the like. According to the parameters, a process industrial carbon emission accounting characterization model is constructed, and logic codes are written into a memory:
f p,i : p consumption of energy source in the product unit process i; e (E) i,j : class i energy j greenhouse gas emission factors; e, e p : p consumption of product unit process power; e (E) e,j : generating j types of greenhouse gas emission factors by using electric power; p (P) p : p product unit process emissions; m is m p : the product consumption of the complete production flow p; CI (CI) j : class j greenhouse gas characterization factors; j: greenhouse gases; i: an energy source; and p: a product; n: number of unit processes, m n ＝1。
S252: and (3) collecting and sorting all kinds of common factors related in the step S251, and writing the common factors into a memory.
S253: calling the components written in the step S212 in the memory, the process flow, the energy consumption and the material input parameters, calling the calculation logic codes written in the step S251 and various factors in the step S252, calculating the carbon emission results of various schemes through the processor and recording the carbon emission results in the memory.
Further, step S260 includes:
s261: after obtaining 3 single index values of resource influence, carbon emission and material performance, the three values can be combined to obtain an ecological design comprehensive index value, if the requirements on various indexes of the product design are clear (scheme A), a matrix comprehensive evaluation model can be adopted, and the matrix comprehensive evaluation model can be written into a memory.
w PI ，w RI ，w GI : performance, resource impact, and weight coefficient of carbon emission; PI (proportional integral) n : n performance index value of the product; RI (RI) n : n resource impact index value of the product; GI (GI) n : n carbon emission index value of the product; a, a n : n product or protocol synthesis; the number of products or design schemes is n.
Due to the influence of weight coefficients, before comprehensive decision is made, each single index is required to be subjected to dimensionalization processing to realize comprehensive calculation of each index, and calculation logic is written into a memory
index n,k ,: results of dimensionality removal of n products or scheme k indexes, PI n ,RI n ,GI n ；indicator n,k : n products or scheme original k index results; indicator re,k The method comprises the steps of carrying out a first treatment on the surface of the n products or squares reference k index results. The reference index preferably selects the maximum value in the comparison scheme or the product, and index can be between 0 and 1, so that the processing and the result display are convenient.
S262: if the requirements of each index are not clear (scheme B), a weight removing method can be adopted for comprehensive evaluation. Writing computational logic to memory:
EDI＝a×PER+b×RCI+c×CEI
EDI: an ecological design comprehensive index value; a: performance weights; PER: a performance index value; b: resource consumption weights; RCI: a resource index value; c: carbon emission weight; CEI: carbon emission index value
The weightless model is mainly based on the optimization idea, and seeks an optimal factor set A: a= { a i ,b i ,c i }(a i +b i +c i ＝1,i＝1,2,3…,n)
The algorithm logic is written to memory.
S263: the actual scenario is identified as scheme a or B in S261 or S262, different operation logic is called, and the performance index values, the resource consumption result and the carbon emission result in steps S232, S243 and S253 are simultaneously called. Calculating ecological design results of each scheme by a processor and recording the ecological design results into a memory
Further, step S270 includes:
s271: and calling the results of each scheme in the memory and comparing the results with the reference object in a recognition way.
S272: meets the requirements and enters a scheme verification stage.
S273: the unsatisfied requirement scheme returns to S210, redesign until the requirement is satisfied.
FIG. 3 is a flow chart of an ecological design method at the planning and solution formulation stage according to an embodiment of the present invention. Fig. 3 is a further refinement of the overall evaluation of the plan formulation phase, compared to fig. 1.
Referring to fig. 3, a method for implementing ecological design comprehensive evaluation among different aluminum alloys includes:
in step S210, the reference object and the design scheme are determined, and life cycle model parameters of each scheme including parameters such as components, process flow, energy consumption, material input, and various properties of the material are obtained according to the scheme and recorded into the memory. The design scheme and the measurement performance result of the aluminum alloy are as follows:
the input amount of materials and energy sources is as follows:
in step S220, the weight of each property of the material to the requirement and the weight of each requirement are determined according to the application field or application scene of the material and recorded into the memory. Such as the hardness, strength, corrosion resistance, etc. of the ship aluminum alloy, against the deformation requirement. Building a performance-demand matrix:
In step S230, the performance parameters and the performance-requirement matrix in the memory are called, and each performance weight coefficient and the comprehensive performance index value are calculated by the processor and recorded in the memory.
The calculation formula is as follows:
the performance index value calculation process and the results are as follows:
in S240, the components, process flow, energy consumption, and material input parameters of each scheme in the memory are called, and the processor is used to calculate and record the resource consumption data into the memory.
The calculation formula is as follows:
ADP＝∑ADP i ×m i
the resource consumption intensity of the 4 alloys is 2.48E-01,2.52E-01,2.62E-01,2.71E-01kg Sbeq/t alloy respectively.
In step S250, the components, process flow, energy consumption and material input parameters of each scheme in the memory are called, and the carbon emission data is calculated by the processor and recorded in the memory.
The calculation formula is as follows:
the carbon emission intensity of the 4 alloys is 1.95E+04,2.08E+04,2.22E+04,2.34E+04kg CO respectively 2 eq/t alloy
In steps S260 and S270, the comprehensive performance index value, the resource consumption data, and the carbon emission data are called, and the results of the ecological design of each scheme are calculated by the processor and recorded in the memory. And calling the results of all schemes in the memory, performing identification comparison with the reference object, returning to the S210 when the scheme which does not meet the requirements is redesigned until the requirements are met.
The calculation method comprises the following steps:
or (b)
EDI＝a×PER+b×RCI+c×CEI，A＝{a i ,b i ,c i }(a i +b i +c i =1, i=1, 2,3 …, n) (method 2)
The method 1 needs to determine the weight and carry out dimensionalization treatment on each index.
The dimensionalization results of the three indexes of the 4 alloys are as follows
Assuming a weight of 0.4,0.3,0.3 (performance, resource consumption intensity, carbon emissions), the calculation result is:
the results indicate that alloy #3 is optimal at this weight.
In the second method, the indexes are subjected to dimensionalization treatment.
The method II calculation logic is realized by adopting Python programming, and the result is that:
a total of 5150 pieces of data are output, of which #32026 pieces, #43124 pieces, and the remaining 0 pieces. Therefore, the probability of alloy No. 4 becoming the optimal alloy is greatest in view of the de-weighting results.
Fig. 4 is an algorithm diagram of a de-weighting optimization method shown in an embodiment of the present invention. The basic logic is as follows:
step S310: performance index values of different schemes, resource consumption index values and carbon emission index values are input. The performance, resource and carbon emission weight coefficients are a, b and c respectively. Initial a=101 and b=0 are set.
Step S320: calculating a=a-1, j=100-a, and setting an initial scheme number i=0, k=0, edi=0.
Step S330: and judging whether b is smaller than j.
If b < j, c=100-a-b, calculating the EDI value of the same weight under the schemes i=1, 2,3 and 4, judging which scheme has the largest EDI result, outputting the largest result, and providing a scheme code and three weight coefficients. Then b is added with 1.
If b > j, it is determined whether a=0, if a=0, the code is ended, and if a >0, steps II and III are repeated.
FIG. 5 is a schematic diagram of the architecture of an ecological design computing device shown in an embodiment of the present invention.
Referring to fig. 5, an ecological design calculating apparatus includes a first calculating module S410, a second calculating module S420, a third calculating module S430 and a fourth calculating module S440.
The first calculation module S410 is configured to calculate, according to the performance test value and the performance requirement matrix, a performance weight coefficient and a performance comprehensive index value of each aluminum alloy performance scheme according to the given calculation logic;
the second calculating module S420 is configured to calculate the resource consumption strength of each aluminum alloy design scheme according to the given calculating logic according to the life cycle parameters such as the components, the process flow, the energy consumption, the material input, and the like.
The third calculation module S430 is configured to calculate the carbon emission intensity of each aluminum alloy design scheme according to the given calculation logic according to the life cycle parameters such as the components, the process flow, the energy consumption, the material input, and the like.
And a fourth calculation module S440, configured to calculate a life cycle comprehensive performance index value, i.e. an ecological design result, of the material by using a matrix model or a weight-removing optimization method according to the performance comprehensive index values, the resource consumption intensity and the carbon emission intensity obtained by the first, second and third calculation modules.
Corresponding to the above method, the embodiment further provides an implementation device for incorporating environmental factors into the aluminum alloy material design, including:
the planning module is used for determining design purposes, selecting a reference object, determining characteristics, quantitatively evaluating the performance, the resource energy consumption and the environmental influence of the reference object, and providing ecological design improvement comments according to evaluation results;
the scheme making module is used for determining various performance parameter ranges of a material design target, according to the relation among the components, the process and the performance of the existing materials, making up a plurality of groups of components and process parameter schemes of the target materials, analyzing the problems caused by the current design scheme reaching the design target by comparing the reference object, carrying out multi-element comprehensive evaluation on the made scheme, eliminating the scheme which does not meet the requirement or redesigning the scheme according to the existing problems, and determining the scheme which meets the requirement as a prototype scheme;
the scheme verification module is used for carrying out laboratory preparation and test on the prototype scheme, updating the full life cycle model parameters of the prototype scheme according to experimental data, evaluating indexes again, obtaining actual production data through small-scale production, evaluating indexes again to seek improvement space, determining whether the prototype scheme meets the standard or not, and returning to the step of determining various performance parameter ranges of a material design target if the prototype scheme does not meet the standard;
And the implementation module is used for carrying out the implementation stage according to the standard prototype scheme.
The beneficial effects of the invention are as follows:
the invention calculates the performance weight coefficient and determines the comprehensive performance index value by constructing the performance-demand matrix; calculating the resource consumption strength of the aluminum alloy of different schemes according to the resource and energy investment by adopting a CML (capacity management model); and calculating the carbon emission intensity of the aluminum alloy with different schemes according to the parameters of material investment, energy investment, process flow and the like. And calculating the ecological design result of each scheme by adopting a matrix model or a weight removing method. The method can effectively identify the feasibility of various schemes, compare the schemes with reference objects, and effectively bring environmental factors into material design, thereby being beneficial to realizing the production and the transformation of the full life cycle aluminum alloy material from the design stage and the green development of the power-assisted industrial field.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points are referred to the device part.
The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to assist in understanding the methods of the present invention and the core ideas thereof; also, it is within the scope of the present invention to be modified by those of ordinary skill in the art in light of the present teachings. In view of the foregoing, this description should not be construed as limiting the invention.
Claims (7)
1. A method for implementing an environmental factor into an aluminum alloy material design, comprising:
determining a design purpose, selecting a reference object, determining characteristics, quantitatively evaluating the performance, the resource energy consumption and the environmental influence of the reference object, and providing ecological design improvement opinion according to an evaluation result;
determining various performance parameter ranges of a material design target, according to the relation among the components, processes and performances of the existing materials, formulating components and process parameter schemes of a plurality of groups of target materials, analyzing the problems caused by the current design scheme when reaching the design target by referring to the reference object, comprehensively evaluating the formulated schemes by a plurality of elements, eliminating the schemes which do not meet the requirements or redesigning the schemes according to the existing problems, and determining the schemes which meet the requirements as prototype schemes;
Laboratory preparation and testing are carried out on the prototype scheme, full life cycle model parameters of the prototype scheme are updated according to experimental data, indexes are evaluated again, actual production data are obtained through small-scale production, an improvement space is sought by the evaluating indexes again, whether the prototype scheme meets the standards or not is determined, and if the prototype scheme does not meet the standards, the step of 'determining each performance parameter range of a material design target' is returned;
carrying out implementation stages according to a prototype scheme reaching standards;
the method comprises the steps of setting up a plurality of groups of target material components and technological parameter schemes, analyzing the problems caused by the current design scheme when reaching the design target by comparing with the reference object, carrying out multi-element comprehensive evaluation on the set scheme, eliminating the scheme which does not meet the requirement or redesigning according to the existing problems, and determining the scheme which meets the requirement as a prototype scheme, wherein the method comprises the following steps:
determining multiple material designs, establishing life cycle models and parameters of the material designs, wherein the parameters comprise components, manufacturing equipment, energy consumption, material investment, mechanical properties and corrosion resistance, and recording the life cycle models and parameters into a memory;
according to the application field or application scene of the material, determining the weight of each property of the material to the requirement and the weight of each requirement, and recording the weight into a memory, and constructing a property-requirement matrix; the weight comprises the hardness, the strength and the corrosion resistance of the ship aluminum alloy, and the weight of the ship aluminum alloy for resisting deformation requirements;
Invoking performance parameters and performance-requirement matrixes in a memory, calculating various performance weight coefficients and comprehensive performance index values by using a processor, and recording the performance weight coefficients and the comprehensive performance index values in the memory;
calling the components, manufacturing equipment, energy consumption and material input parameters of each scheme in the memory, calculating resource consumption data by using the processor and recording the resource consumption data into the memory;
calling the components, manufacturing equipment, energy consumption and material input parameters of each scheme in the memory, and calculating carbon emission data by using the processor and recording the carbon emission data into the memory;
calling comprehensive performance index values, resource consumption data and carbon emission data, calculating ecological design results of all schemes by using a processor, and recording the ecological design results into a memory;
calling the results of each scheme in the memory, carrying out identification comparison with a reference object, returning to the step of determining multiple material design schemes when the scheme does not meet the requirements, and redesigning until the requirement is met;
the determining a plurality of material designs includes:
determining the types and input amounts of various alloy elements in each material design scheme, determining specific processing technology and equipment, calling the input amounts of substances and energy sources by combining a production system, determining a production scheme, and determining various performance parameters through laboratory preparation and testing;
Establishing a writable and readable large-capacity memory, and marking all obtained parameters into the large-capacity memory, wherein the parameters comprise components, equipment, energy consumption, material investment and material properties;
invoking the comprehensive performance index value, the resource consumption data and the carbon emission data, calculating ecological design results of all schemes by using a processor and recording the ecological design results into a memory, wherein the method comprises the following steps of:
constructing a carbon emission accounting characterization model taking various parameter factors into consideration, wherein the model comprises energy types, energy consumption, energy emission coefficients, power structures, emission coefficients of different power generation modes, various intermediate product yields and final product yields;
writing the logic code into the memory;
the related various common factors are collected and arranged and then written into a memory, or the emission factors are independently determined and written into the memory;
invoking parameter indexes in a memory, invoking written calculation logic codes and various factors, calculating carbon emission results of various schemes through a processor and memorizing the carbon emission results in the memory; the formula of the logic code is as follows:
wherein f p,i : p consumption of energy source in the product unit process i; e (E) i,j : class i energy j greenhouse gas emission factors; e, e p : p consumption of product unit process power; e (E) e,j : generating j types of greenhouse gas emission factors by using electric power; p (P) p : p product unit process emissions; m is m p : the product consumption of the complete production flow p; CI (CI) j : class j greenhouse gas characterization factors; j: greenhouse gases; i: an energy source; and p: a product; n: number of unit processes.
2. The method of claim 1, further comprising:
according to the use requirement of the material, the weight coefficient of the requirement is further clearly subdivided, and the material has deformation resistance, durability and easy processing and forming;
correlating performance indexes influencing each requirement, and dividing contribution degrees of each performance and corresponding requirements; the contribution degree of the performance to the use requirement is written into the established mass storage for further reading and calling.
3. The method of claim 1, wherein the step of calling the performance parameters and the performance-requirement matrix in the memory, and calculating each performance weight coefficient and the comprehensive performance index value by the processor and recording the calculated performance weight coefficient and the comprehensive performance index value in the memory comprises:
calculating weight coefficients and comprehensive performance index values of various performances of the material, and writing performance weight coefficient calculation logic and a performance comprehensive index value calculation program into a memory;
Invoking a performance demand matrix, performance parameters and logic codes in a memory, calculating a performance comprehensive index value through a processor and counting the result into the memory;
wherein, the formula for calculating the weight coefficient and the comprehensive performance index value of each performance of the material is as follows:
PD j : performance requirements; PW (pseudo wire) j : performance weights; n=1, 2 … …, maximum performance class number;
PI: a performance index value; pj is a j-th class performance test index value of the target object; p'. j The j-th class performance test index value is the reference object.
4. The method of claim 1, wherein invoking the composition, manufacturing equipment, energy consumption, and material input parameters of each solution in the memory, calculating and logging the resource consumption data into the memory using the processor, comprises:
writing the CML resource energy consumption characterization processing method into a memory, calling the input components, equipment, energy consumption and material input parameters in the memory, and calling the characterization factor ADP of the CML method in the memory i Or autonomously inputting the characterization factors, calculating resource energy consumption data by using the processor and calling a CML calculation model in the memory, and writing the result into the memory;
The formula for calculating the resource energy consumption data is as follows:
ADP＝∑ADP i ×m i
ADP represents the characterization parameter results of resource exhaustion, ADP i Characterization factor, m, representing non-renewable resources i Representing the consumption of non-renewable resources.
5. The method of claim 1, wherein invoking the comprehensive performance index value, the resource consumption data, and the carbon emission data, calculating the ecological design results of each solution using the processor, and writing into the memory, comprises:
after obtaining single index values of resource influence, carbon emission and material performance, synthesizing the three values to obtain an ecological design comprehensive index value, if the requirements on various indexes of the product design are definite, adopting a matrix comprehensive evaluation model, and writing the matrix comprehensive evaluation model into a memory; the formula of the matrix comprehensive evaluation model is as follows:
wherein w is PI ，w RI ，w GI : performance, resource impact, and weight coefficient of carbon emission; PI (proportional integral) n : n performance index value of the product; RI (RI) n : n resource impact index value of the product; GI (GI) n : n carbon emission index value of the product; a, a n : n product or protocol synthesis; the number of products or design schemes is n;
before comprehensive decision making, each single index is subjected to dimensionalization treatment to realize comprehensive calculation of each index, and calculation logic is written into a memory; the formula of the dimensionalization process is as follows:
Wherein index n,k ,: n products or the results of the dimensionality removal of the k indexes of the scheme; indicator n,k : n products or scheme original k index results; indicator re,k The method comprises the steps of carrying out a first treatment on the surface of the n products or schemes refer to k index results;
if the requirements of all indexes are not clear, comprehensively evaluating by adopting a weight removing method, and writing calculation logic into a memory; the formula of the calculation logic is as follows:
EDI＝a×PER+b×RCI+c×CEI；
wherein, EDI: an ecological design comprehensive index value; a: performance weights; PER: a performance index value; b: resource consumption weights; RCI: a resource index value; c: carbon emission weight; CEI: a carbon emission index value.
6. An implementation apparatus for incorporating environmental factors into an aluminum alloy material design, comprising:
the planning module is used for determining design purposes, selecting a reference object, determining characteristics, quantitatively evaluating the performance, the resource energy consumption and the environmental influence of the reference object, and providing ecological design improvement comments according to evaluation results;
the scheme making module is used for determining various performance parameter ranges of a material design target, according to the relation among the components, the process and the performance of the existing materials, making up a plurality of groups of components and process parameter schemes of the target materials, analyzing the problems caused by the current design scheme reaching the design target by comparing the reference object, carrying out multi-element comprehensive evaluation on the made scheme, eliminating the scheme which does not meet the requirement or redesigning the scheme according to the existing problems, and determining the scheme which meets the requirement as a prototype scheme;
The scheme verification module is used for carrying out laboratory preparation and test on the prototype scheme, updating the full life cycle model parameters of the prototype scheme according to experimental data, evaluating indexes again, obtaining actual production data through small-scale production, evaluating indexes again to seek improvement space, determining whether the prototype scheme meets the standard or not, and returning to the step of determining various performance parameter ranges of a material design target if the prototype scheme does not meet the standard;
the implementation module is used for implementing the stage according to the prototype scheme reaching the standard;
the method comprises the steps of setting up a plurality of groups of target material components and technological parameter schemes, analyzing the problems caused by the current design scheme when reaching the design target by comparing with the reference object, carrying out multi-element comprehensive evaluation on the set scheme, eliminating the scheme which does not meet the requirement or redesigning according to the existing problems, and determining the scheme which meets the requirement as a prototype scheme, wherein the method comprises the following steps:
determining multiple material designs, establishing life cycle models and parameters of the material designs, wherein the parameters comprise components, manufacturing equipment, energy consumption, material investment, mechanical properties and corrosion resistance, and recording the life cycle models and parameters into a memory;
According to the application field or application scene of the material, determining the weight of each property of the material to the requirement and the weight of each requirement, and recording the weight into a memory, and constructing a property-requirement matrix; the weight comprises the hardness, the strength and the corrosion resistance of the ship aluminum alloy, and the weight of the ship aluminum alloy for resisting deformation requirements;
invoking performance parameters and performance-requirement matrixes in a memory, calculating various performance weight coefficients and comprehensive performance index values by using a processor, and recording the performance weight coefficients and the comprehensive performance index values in the memory;
calling the components, manufacturing equipment, energy consumption and material input parameters of each scheme in the memory, calculating resource consumption data by using the processor and recording the resource consumption data into the memory;
calling the components, manufacturing equipment, energy consumption and material input parameters of each scheme in the memory, and calculating carbon emission data by using the processor and recording the carbon emission data into the memory;
calling comprehensive performance index values, resource consumption data and carbon emission data, calculating ecological design results of all schemes by using a processor, and recording the ecological design results into a memory;
calling the results of each scheme in the memory, carrying out identification comparison with a reference object, returning to the step of determining multiple material design schemes when the scheme does not meet the requirements, and redesigning until the requirement is met;
The determining a plurality of material designs includes:
determining the types and input amounts of various alloy elements in each material design scheme, determining specific processing technology and equipment, calling the input amounts of substances and energy sources by combining a production system, determining a production scheme, and determining various performance parameters through laboratory preparation and testing;
establishing a writable and readable large-capacity memory, and marking all obtained parameters into the large-capacity memory, wherein the parameters comprise components, equipment, energy consumption, material investment and material properties;
invoking the comprehensive performance index value, the resource consumption data and the carbon emission data, calculating ecological design results of all schemes by using a processor and recording the ecological design results into a memory, wherein the method comprises the following steps of:
constructing a carbon emission accounting characterization model taking various parameter factors into consideration, wherein the model comprises energy types, energy consumption, energy emission coefficients, power structures, emission coefficients of different power generation modes, various intermediate product yields and final product yields;
writing the logic code into the memory;
the related various common factors are collected and arranged and then written into a memory, or the emission factors are independently determined and written into the memory;
invoking parameter indexes in a memory, invoking written calculation logic codes and various factors, calculating carbon emission results of various schemes through a processor and memorizing the carbon emission results in the memory; the formula of the logic code is as follows:
Wherein f p,i : p consumption of energy source in the product unit process i; e (E) i,j : class i energy j greenhouse gas emission factors; e, e p : p consumption of product unit process power; e (E) e,j : generating j types of greenhouse gas emission factors by using electric power; p (P) p : p product unit process emissions; m is m p : the product consumption of the complete production flow p; CI (CI) j : class j greenhouse gas characterization factors; j: greenhouse gases; i: an energy source; and p: a product; n: number of unit processes.
7. A computing device for processing data, capable of performing various arithmetic, logical operations, and control functions; a memory communicatively coupled to the at least one processor; the memory stores more than one program; the program comprises means for performing the environmental factor incorporating aluminum alloy material design of any of claims 1-5.
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