CN114872325A

CN114872325A - Additive remanufacturing method, additive remanufacturing device, electronic apparatus, storage medium, and program product

Info

Publication number: CN114872325A
Application number: CN202210477859.6A
Authority: CN
Inventors: 孙迎建; 刘禹; 石岩; 刘振华; 郝巧红
Original assignee: Hebei University of Water Resources and Electric Engineering
Current assignee: Hebei University of Water Resources and Electric Engineering
Priority date: 2022-04-27
Filing date: 2022-04-27
Publication date: 2022-08-09

Abstract

The present disclosure provides an additive remanufacturing method comprising: establishing a process database according to historical process data; acquiring data to be repaired based on the detected product fault; judging whether the historical process data corresponding to the data to be repaired exist in the process database or not; when the process database comprises historical process data corresponding to the data to be repaired, sending the historical process data corresponding to the data to be repaired to an additive remanufacturing terminal; otherwise, the data to be repaired are sent to the operation body terminal. The additive remanufacturing method can improve product repair efficiency, brings convenience to large data summarization of influence rules of related additive remanufacturing process parameters for technicians in the field, optimizes the related parameters, and realizes intelligent and automatic control of an additive remanufacturing process.

Description

Additive remanufacturing method, additive remanufacturing device, electronic apparatus, storage medium, and program product

Technical Field

The present disclosure relates to the field of additive remanufacturing, and in particular, to an additive remanufacturing method, an apparatus, an electronic device, a computer-readable storage medium, and a computer program product.

Background

The additive remanufacturing technology is used as a complex and systematic project, and mainly recovers or improves the geometric shape and the mechanical property of a failed part and a part which is processed by mistake. The additive remanufacturing technology is characterized in that a cladding material added on the surface of a base material and a thin layer on the surface of a matrix are fused together through an energy beam with high energy density to form metallurgical bonding. Additive remanufacturing technology is similar to additive remanufacturing technology, and is a process of layer-by-layer accumulation, but the additive remanufacturing technology is to perform discrete accumulation on the basis of damaged parts, obtain damaged part models through damaged parts, and achieve the aim of part repair.

The additive remanufacturing technology is widely applied to the fields of vehicles, ships, energy chemical engineering, heavy-duty machinery and the like due to unique advantages, but the additive remanufacturing method also has the problems of low intellectualization and automation degree in practical application. The additive manufacturing technology can adopt the same manufacturing process method aiming at the same parts, and the additive remanufacturing cannot adopt the machining mode of the single manufacturing process of additive remanufacturing due to more failure types of damaged parts, even the remanufacturing operation needs to be carried out manually, so the intelligent control of the remanufacturing process cannot be realized.

As the additive remanufacturing production objects have the characteristics of various types and different materials, the damage of parts often has complexity, burstiness and randomness, and the factors of timeliness, economy and the like of quick repair of damaged parts are comprehensively considered, so that the complete homogeneous matching with the damaged part materials is difficult to ensure in engineering practice. Market application demands put higher demands on the integration level and the automation degree of an additive remanufacturing system and the response speed of additive remanufacturing of damaged parts. It is necessary to combine new-generation information technologies such as internet, internet of things, big data, cloud computing and the like with each process link in the additive remanufacturing method, so that the product repair efficiency is improved, and the maintenance cost is greatly reduced. The forming mechanism of additive remanufacturing is complex and difficult to control, and forming quality problems (such as microcracks, low bonding strength, small fusion depth and the like) are easily caused by improper process control. Therefore, it is necessary to conduct big data research on the additive remanufacturing method, which is convenient for a person skilled in the art to summarize big data on the influence rule of relevant process parameters and optimize the relevant parameters. In the prior art, a large number of experiments need to be made, and a large number of process data in each experimental process need to be recorded manually, which is unrealistic because the method excessively depends on manual operation, so that a database needs to be established and continuously optimized and updated.

Disclosure of Invention

In view of the foregoing, the present disclosure provides an additive remanufacturing method, apparatus, electronic device, computer readable storage medium, and computer program product.

According to a first aspect of the present disclosure, there is provided an additive remanufacturing method comprising:

establishing a process database according to historical process data;

acquiring data to be repaired based on the detected product fault;

judging whether the historical process data corresponding to the data to be repaired exist in the process database or not;

when the process database comprises historical process data corresponding to the data to be repaired, sending the historical process data corresponding to the data to be repaired to an additive remanufacturing terminal; wherein the historical process data is capable of directing the operation of the additive remanufacturing terminal;

when the process database does not contain historical process data corresponding to the data to be repaired, sending the data to be repaired to an operation body terminal; the operation body terminal is used for analyzing the data to be repaired to obtain new process data; the newly added process data can guide the work of the additive remanufacturing terminal.

According to the embodiment of the disclosure, the newly added process data can guide the work of the additive remanufacturing terminal, including:

storing the newly added process data into the process database to form historical process data so as to update the process database;

and sending the formed historical process data from the process database to the additive remanufacturing terminal.

and sending the newly added process data from the operation body terminal to the additive remanufacturing terminal.

According to an embodiment of the present disclosure, the historical process data comprises: material data, model data, melting temperature data, cooling temperature data, scanning speed data and scanning trajectory data;

establishing a process database according to the historical process data, wherein the process database comprises the following steps:

obtaining the material data and the model data of the product;

determining the melting temperature data and the cooling temperature data of an additive remanufacturing terminal according to the material data;

determining the scanning speed data of the additive remanufacturing terminal according to the material data, the melting temperature data and the cooling temperature data;

determining scanning track data of the additive remanufacturing terminal according to the model data;

establishing a process database according to the material data, the model data, the melting temperature data, the cooling temperature data, the scanning speed data and the scanning track data;

wherein the process database includes a plurality of historical process data.

According to an embodiment of the present disclosure, the data to be repaired includes: the method comprises the following steps of obtaining repair model data of a remanufactured product and material data of the remanufactured product, wherein the obtaining of data to be repaired based on a detected product fault comprises:

determining, based on the detected product failure, that the product meets a remanufacturing standard;

acquiring physical model data of the remanufactured product and material data of the remanufactured product;

and performing Boolean operation on the entity model data and the product design model data to obtain repair model data of the product.

According to an embodiment of the present disclosure, the determining whether the process database has historical process data corresponding to the data to be repaired includes:

judging whether the material data corresponding to the material data of the remanufactured product exists in the process database;

when the material data corresponding to the material data of the remanufactured product exists in the process database, determining that the historical process data corresponding to the data to be repaired exists in the process database;

and when the material data corresponding to the material data of the remanufactured product does not exist in the process database, determining that the historical process data corresponding to the data to be repaired does not exist in the process database.

A second aspect of the present disclosure provides an additive remanufacturing device comprising:

the process database establishing module is used for establishing a process database according to the historical process data;

the acquisition module is used for acquiring data to be repaired based on the detected product faults;

the judging module is used for judging whether the historical process data corresponding to the data to be repaired exists in the process database;

the first sending module is used for sending the historical process data corresponding to the data to be repaired to an additive remanufacturing terminal when the process database comprises the historical process data corresponding to the data to be repaired;

the second sending module is used for sending the data to be repaired to an operation body terminal when the process database does not contain historical process data corresponding to the data to be repaired; the operating body terminal is used for analyzing the data to be repaired to obtain newly added historical process data; the newly added process data can guide the work of the additive remanufacturing terminal.

According to an embodiment of the present disclosure, the second transmitting module includes: the device comprises a first storage unit and a first sending unit.

The first storage unit is used for storing the newly added process data into the process database to form historical process data so as to update the process database.

The first sending unit is used for sending the formed historical process data from the process database to the additive remanufacturing terminal and guiding the additive remanufacturing terminal to work.

According to another embodiment of the present disclosure, the second transmitting module includes: a second storage unit and a second sending unit.

The second storage unit is used for storing the newly added process data into the process database to form historical process data so as to update the process database.

And the second sending unit is used for sending the newly added process data from the operation body terminal to the additive remanufacturing terminal to guide the additive remanufacturing terminal to work.

According to an embodiment of the present disclosure, the process database creation module includes: the device comprises a first determining unit, a second determining unit, a third determining unit, a fourth determining unit and a library establishing unit.

The first determination unit is used for acquiring the material data and the model data of the product.

The second determining unit is used for determining the melting temperature data and the cooling temperature data of the additive remanufacturing terminal according to the material data.

The third determining unit is used for determining the scanning speed data of the material increase remanufacturing terminal according to the material data, the melting temperature data and the cooling temperature data.

The fourth determining unit is used for determining scanning track data of the additive remanufacturing terminal according to the model data.

And the database building unit is used for building a process database according to the material data, the model data, the melting temperature data, the cooling temperature data, the scanning speed data and the scanning track data.

According to an embodiment of the present disclosure, the obtaining module includes: a fifth determining unit, a first acquiring unit and an arithmetic unit.

The fifth determination unit is used for determining that the product meets the remanufacturing standard based on the detected product failure.

The first acquisition unit is used for acquiring the entity model data of the remanufactured product and the material data of the remanufactured product.

And the operation unit is used for performing Boolean operation on the entity model data and the product design model data to obtain repair model data of the product.

According to an embodiment of the present disclosure, the determining module includes: a first judging unit, a sixth determining unit and a seventh determining unit.

The first judging unit is used for judging whether the material data corresponding to the material data of the remanufactured product exists in the process database.

The sixth determining unit is configured to determine that the historical process data corresponding to the data to be repaired exists in the process database when the material data corresponding to the material data of the remanufactured product exists in the process database.

The seventh determining unit is configured to determine that the historical process data corresponding to the data to be repaired does not exist in the process database when the material data corresponding to the material data of the remanufactured product does not exist in the process database.

A third aspect of the present disclosure provides an electronic device, comprising: one or more processors; memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the additive remanufacturing method described above.

A fourth aspect of the present disclosure also provides a computer-readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to perform the above-described additive remanufacturing method.

A fifth aspect of the disclosure also provides a computer program product comprising a computer program which, when executed by a processor, implements the additive remanufacturing method described above.

The embodiment of the disclosure provides an additive remanufacturing method, which comprises the steps of calling, changing and supplementing historical process data in a process database by judging whether the historical process data corresponding to data to be repaired exist in the process data, calling the optimal historical process data for additive remanufacturing in the process database, and sending the historical process data to an additive remanufacturing terminal to complete an additive remanufacturing process of a fault product. The additive remanufacturing method can improve product repair efficiency, brings convenience to large data summarization of influence rules of related additive remanufacturing process parameters for technicians in the field, optimizes the related parameters, and realizes intelligent and automatic control of an additive remanufacturing process.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.

The foregoing and other objects, features and advantages of the disclosure will be apparent from the following description of embodiments of the disclosure, which proceeds with reference to the accompanying drawings, in which:

figure 1 schematically illustrates an application scenario diagram of additive remanufacturing methods, apparatus, devices, media and program products according to embodiments of the present disclosure;

figure 2 schematically illustrates a flow diagram of an additive remanufacturing method according to an embodiment of the present disclosure;

FIG. 3 schematically illustrates a flow chart of operations of an additive remanufacturing terminal as directed by newly added process data according to an embodiment of the present disclosure;

FIG. 4 schematically illustrates a flow diagram of additional process data directing the operation of an additive remanufacturing terminal according to another embodiment of the present disclosure;

FIG. 5 schematically illustrates a flow chart for building a process database from historical process data according to an embodiment of the present disclosure;

FIG. 6 schematically illustrates a flow chart for obtaining data to be repaired based on a detected product failure in accordance with an embodiment of the present disclosure;

FIG. 7 schematically illustrates a flow chart for determining whether historical process data corresponding to data to be repaired exists in a process database according to an embodiment of the disclosure;

figure 8 schematically illustrates a block diagram of an additive remanufacturing apparatus according to an embodiment of the present disclosure; and

figure 9 schematically illustrates a block diagram of an electronic device suitable for implementing an additive remanufacturing method according to an embodiment of the present disclosure.

Detailed Description

Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is illustrative only and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.

The following is an explanation of key terms of the present disclosure so that those skilled in the art can understand the contents of the embodiments of the present disclosure in more detail.

Additive Manufacturing Technology (Additive Manufacturing Technology), abbreviated in english as AM, is also called Additive Manufacturing Technology, 3D printing Technology. The principle of additive manufacturing is that after a three-dimensional physical model is reduced to a two-dimensional plane model, the two-dimensional model is overlapped layer by layer to construct a three-dimensional entity, namely, a process of dimension reduction conversion and dimension ascending superposition. Specifically describing the realization mode of the technology, the method comprises the steps of establishing a physical CAD (computer Aided Design) digital model by a computer, horizontally dividing the model according to a specific vertical interval based on the principle of dispersion and accumulation to obtain a slice section with the contour characteristic of the model, repeatedly processing the slice section, and finally overlapping the processed sections layer by layer through sintering, cladding and other means to finish the manufacturing process. Different from the traditional machining which mainly reduces the material, the additive manufacturing process does not need any cutter, die or other processing tools, the design process does not consider the limitation caused by factors such as cutter interference, and the like, and the manufacturing of parts in any shape can be realized theoretically, so the additive manufacturing technology can exert the creativity of designers to a great extent; the additive manufacturing process is to build an object in a material accumulation mode, so that the material utilization rate is extremely high, zero waste can be basically realized, and resource saving is facilitated; by means of a computer-aided system, the additive manufacturing can reduce machining processes and realize quick response, so that the development flexibility is improved, the production period is greatly shortened, and the research and development cost is reduced.

Remanufacturing is a process of disassembling and cleaning high-cost parts which reach a certain service life, detecting basic defects and damages of the parts, processing, repairing and modifying the parts so that technical parameters of the parts can reach or approach the standard of a new product again, and finally recycling the parts which meet the use standard after trial run inspection. Remanufacturing is one of important industrial forms of circular economy, and is a batch manufacturing process for recovering the technical performance and the product quality of an original product after the scrapped or retired product is subjected to the working procedures of disassembly, cleaning, detection, classification, remanufacturing processing or upgrading, reconstruction, assembly, retesting and the like. The remanufacturing technology has the advantages of high quality, high efficiency, energy conservation, material conservation, environmental protection and the like, and the specific gravity of the remanufacturing technology is increasing day by day in various industrial production fields, particularly in the military field with short requirement on product period, high requirement on product quality and high manufacturing cost.

Boolean operations, a logical deduction of the symbolization of numbers, are introduced to make simple basic graphic combinations generate new shapes in graphic (including two-dimensional or three-dimensional graphic) processing operations. For example, a new object form is obtained by performing a union, difference, or intersection operation on two or more objects.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.

All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.

Where a convention analogous to "at least one of A, B and C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B and C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).

The embodiment of the disclosure provides an additive remanufacturing method, which comprises the steps of calling, changing and supplementing historical process data in a process database by judging whether the historical process data corresponding to data to be repaired exist in the process data, calling the optimal historical process data for additive remanufacturing in the process database, and sending the historical process data to an additive remanufacturing terminal to complete an additive remanufacturing process of a fault product. The additive remanufacturing method can improve product repair efficiency, brings convenience to big data summarization of the influence rule of relevant additive remanufacturing process parameters for technicians in the field, optimizes the relevant parameters, and realizes intelligent and automatic control of the additive remanufacturing process.

Fig. 1 schematically illustrates an application scenario diagram of an additive remanufacturing method, apparatus, device, medium, and program product according to embodiments of the present disclosure. It should be noted that fig. 1 is only an application example to which the embodiments of the present disclosure may be applied to help those skilled in the art understand the technical content of the present disclosure, and does not mean that the embodiments of the present disclosure may not be applied to other devices, systems, environments or scenarios.

As shown in fig. 1, the application scenario 100 according to this embodiment may include

terminal devices

101, 102, 103, a network 104 and a server 105. The network 104 serves as a medium for providing communication links between the

terminal devices

101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.

The user may use the

terminal devices

101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The

terminal devices

101, 102, 103 may have installed thereon various communication client applications, such as shopping-like applications, web browser applications, search-like applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only).

The

terminal devices

101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.

The server 105 may be a server providing various services, such as a background management server (for example only) providing support for websites browsed by users using the

terminal devices

101, 102, 103. The backend management server may analyze and process the received data such as the user request, and feed back a processing result (for example, a web page, information, or data obtained or generated according to the user request) to the terminal device.

It should be noted that the additive remanufacturing method provided by the embodiments of the present disclosure may be generally performed by the server 105. Accordingly, the additive remanufacturing apparatus provided by the embodiments of the present disclosure may generally be disposed in the server 105. The additive remanufacturing method provided by the embodiments of the present disclosure may also be performed by a server or a cluster of servers different from the server 105 and capable of communicating with the

terminal devices

101, 102, 103 and/or the server 105. Accordingly, the additive remanufacturing apparatus provided by the embodiments of the present disclosure may also be disposed in a server or a server cluster different from the server 105 and capable of communicating with the

terminal devices

101, 102, 103 and/or the server 105.

It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

The additive remanufacturing method of the disclosed embodiment will be described in detail below with reference to fig. 2 to 6 based on the scenario described in fig. 1.

Figure 2 schematically illustrates a flow chart of a method of additive remanufacturing according to an embodiment of the present disclosure.

As shown in fig. 2, the additive remanufacturing method of this embodiment includes operations S210 to S250.

In operation S210, a process database is built based on the historical process data.

According to an embodiment of the present disclosure, the historical process database includes: material data, model data, melt temperature data, cooling temperature data, scan speed data, and scan trajectory data.

According to the embodiment of the disclosure, historical process data can be determined according to product attribute data such as the structure form and the application environment of a product, a plurality of groups of historical process data are determined through a large amount of experimental analysis, trial production of test prototypes is performed according to the plurality of groups of historical process data, the performances of the plurality of test prototypes are tested and compared, the historical process data with the best performance in the plurality of test prototypes is used as the optimal historical process data in the plurality of groups of historical process data, and then a process database is established according to the optimal historical process data. And guiding the additive remanufacturing terminal to complete the additive remanufacturing process of the product through the optimal historical process data in the process database.

For example, through a large number of experiments and test prototype tests, the CP-type impeller belongs to a disc part, the inner cavity of the CP-type impeller belongs to a typical thin-wall special-shaped curved surface structure, and the wall thickness of the impeller is only 5 mm. In view of the structural form of the blades of the CP-type impeller and the severe high-speed rotation working condition of the CP-type impeller, the impeller parts often have failure forms such as chipping, erosion, cracks and the like in the use process. According to the working conditions and the use conditions of impeller parts and a large amount of experimental analysis, the following parameters in the table 1 are taken as historical process data of the impeller:

TABLE 1

The method for establishing the process database by collecting a large amount of historical process data is convenient for a person skilled in the art to summarize big data of the influence rule of relevant additive remanufacturing process parameters and optimize the relevant parameters.

In operation S220, data to be repaired is acquired based on the detected product failure.

According to the embodiment of the disclosure, after the defective product is taken as a remanufactured product to be disassembled and cleaned, the remanufactured product is detected by adopting industrial CT (Industrial computer tomography) on the basis of dye-penetrant inspection, so as to obtain the internal fault information of the product.

According to the embodiment of the disclosure, the obtained product internal fault information can be processed by using a computer information processing and image reconstruction technology to obtain data to be repaired of the remanufactured product, wherein the data to be repaired includes but is not limited to repair model data of the remanufactured product and material data of the remanufactured product.

In operation S230, it is determined whether the historical process data corresponding to the data to be repaired exists in the process database.

In operation S240, when the process database includes historical process data corresponding to the data to be repaired, the historical process data corresponding to the data to be repaired is sent to an additive remanufacturing terminal.

According to an embodiment of the disclosure, the historical process data can guide the operation of the additive remanufacturing terminal.

According to the embodiment of the disclosure, if the repair model data in the data to be repaired of the remanufactured product is the crack-shaped CAD model, the material data in the data to be repaired of the remanufactured product is stainless steel aluminum alloy. And searching historical process data in a process database to find that the crack-shaped CAD model and the stainless steel aluminum alloy material exist in the process database, so that the historical process data corresponding to the repair model data exist in the process database can be determined. Accordingly, it can be determined that the existing process database has machining process data for additive remanufacturing of the remanufactured product.

And calling historical process data corresponding to the repair data in the process database, wherein the historical process data comprise material data, model data, melting temperature data, cooling temperature data, scanning speed data, scanning track data and the like, and sending the historical process data to the additive remanufacturing terminal, and the historical process data are used as process parameters to guide the additive remanufacturing terminal to complete the additive remanufacturing repair process of remanufactured products.

By acquiring the data to be repaired, calling historical process data corresponding to the repair data in the process database, and sending the historical process data to the additive remanufacturing terminal, the mode of additive remanufacturing repair process is further completed, the integrated integration of functions of quick acquisition of the data to be repaired of products based on the process database architecture, process data strategy optimization and the like is realized, the problems of high product maintenance cost and long maintenance period are greatly solved, and the correctness of additive remanufacturing process decision is improved.

In operation S250, when the process database does not include the historical process data corresponding to the data to be repaired, sending the data to be repaired to an operator terminal; the operation body terminal is used for analyzing the data to be repaired to obtain new process data; the newly added process data can guide the work of the additive remanufacturing terminal.

According to the embodiment of the disclosure, when the process database does not include the historical process data corresponding to the data to be repaired, it can be determined that the existing process database does not have the machining process data for additive remanufacturing of the remanufactured product, and it can be determined that the existing process database cannot meet the repair work of the product to be repaired and needs to be supplemented and updated.

Specifically, if the material data in the data to be repaired of the remanufactured product is an aluminum alloy material. The searching and comparing find that the historical process data in the prior art database has no material data about the aluminum alloy. Accordingly, it can be determined that the existing process database does not have machining process data for additive remanufacturing of the remanufactured product, and needs to be perfected. After determining that the existing process database does not include the historical process data corresponding to the data to be repaired, sending the data to be repaired to an operator terminal, where the operator terminal may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.

According to the embodiment of the disclosure, the material data obtained by the analysis of the operation body terminal is the process parameter data required by the remanufactured product of the aluminum alloy, and the process parameter data is listed in table 2. The data listed in table 2 are used as new process data of the remanufactured product, and the new process data can be used for guiding the operation of the additive remanufacturing terminal.

TABLE 2

The additive remanufacturing process needs to collect and arrange a large amount of process data, the collection and arrangement work of the process data cannot be completed independently for a certain enterprise, and the distributed research in the related art results in no comprehensive additive remanufacturing method. According to the additive remanufacturing method, the process database is established, historical process data in the process database are sent to the additive remanufacturing terminal to guide the additive remanufacturing terminal to complete remanufacturing, large data summarization is conveniently carried out on the influence rule of relevant additive remanufacturing process parameters by technical personnel in the field, intelligentization and automation control of an additive remanufacturing process are achieved, the shape and the performance of a defective part of a product can be rapidly recovered, the technical advantages of flexibility and intelligentization of the additive remanufacturing technology process are fully exerted, available parts are rapidly obtained by adding a small amount of materials, and therefore the problems of low repairing efficiency and high cost in the traditional repairing technology are solved.

Figure 3 schematically illustrates a flow chart of the operation of an additive remanufacturing terminal as directed by new process data according to an embodiment of the present disclosure.

As shown in fig. 3, the newly added process data in operation S250 can guide the operation of the additive remanufacturing terminal to include operations S251 to S252.

In operation S251, the newly added process data is stored in the process database to form historical process data, so as to update the process database.

In operation S252, the formed historical process data is sent from the process database to the additive remanufacturing terminal. The historical process database may be used to direct the operation of the additive remanufacturing terminal.

As the additive remanufacturing production objects have the characteristics of various types and different materials, the damage of parts often has complexity, burstiness and randomness, and the factors of timeliness, economy and the like of quick repair of damaged parts are comprehensively considered, so that the complete homogeneous matching with the damaged part materials is difficult to ensure in engineering practice.

According to the embodiment of the disclosure, the newly added process data are stored in the process database, the process database can be updated timely, the updated historical process data in the process database are sent to the material increase remanufacturing terminal to guide the material increase remanufacturing terminal to complete the material increase remanufacturing repair work of remanufactured products, a large amount of data generated in the material increase remanufacturing field are fully collected and utilized, and the repair range of the material increase remanufacturing database is greatly expanded.

Figure 4 schematically illustrates a flow diagram for directing operation of an additive remanufacturing terminal with added process data according to another embodiment of the present disclosure.

As shown in fig. 4, the newly added process data in operation S250 of this embodiment can guide the operation of the additive remanufacturing terminal to include operations S253 to S254.

In operation S253, storing the newly added process data into the process database to form historical process data, so as to update the process database;

in operation S254, the new process data is sent from the operation body terminal to the additive remanufacturing terminal. The newly added process data can be used to guide the operation of the additive remanufacturing terminal.

According to the embodiment of the disclosure, the newly added process data is stored in the process database, the process database can be updated in time, the newly added data is directly sent to the additive remanufacturing terminal from the operation body terminal and guides the additive remanufacturing terminal to complete additive remanufacturing work, a repairing task can be completed quickly, and repairing efficiency of remanufactured products is further improved.

FIG. 5 schematically illustrates a flow chart for building a process database from historical process data according to an embodiment of the present disclosure.

According to an embodiment of the present disclosure, the historical process database includes: material data, model data, melt temperature data, cooling temperature data, scan speed data, and scan trajectory data. For example, the material data may be stainless steel, die steel, titanium alloy, aluminum alloy, cobalt-chromium alloy, nickel alloy, copper, etc., the model data is a CAD model of a remanufactured product structure, the melting temperature data refers to a temperature range in which a material required for melting of an additive remanufacturing terminal is melted, the cooling temperature data refers to a temperature range in which a material required for forming and cooling in an additive remanufacturing process is cooled, the scanning speed data refers to a moving speed range of a material nozzle on the additive remanufacturing terminal, and the scanning trajectory refers to a moving path of the material nozzle on the additive remanufacturing terminal.

As shown in fig. 5, the building of the process database according to the embodiment of the present disclosure from the historical process data in operation S210 includes operations S211 to S215.

In operation S211, the material data and the model data of the product are acquired.

In operation S212, the melting temperature data and the cooling temperature data of the additive remanufacturing terminal are determined according to the material data.

In operation S213, the scan speed data of the additive remanufacturing terminal is determined according to the material data, the melting temperature data, and the cooling temperature data.

In operation S214, scan trajectory data of the additive remanufacturing terminal is determined according to the model data.

In operation S215, a process database is built according to the material data, the model data, the melting temperature data, the cooling temperature data, the scanning speed data, and the scanning trajectory data.

According to the embodiment of the disclosure, a process database comprises a plurality of historical process data, the plurality of historical process data respectively represent different additive remanufacturing process types, and the historical process data are used for being sent to the additive remanufacturing terminal to complete an additive remanufacturing process. Historical process data in the process database can be used as processing parameters of the additive remanufacturing terminal to guide the additive remanufacturing terminal to complete an automatic processing process. The forming excitation of additive remanufacturing is complex and difficult to control, and improper process control is easy to cause forming quality problems, such as: micro-cracks, low bonding strength, small penetration, etc. Therefore, the method for establishing the process database can realize deep fusion of the industrial big data and the additive remanufacturing process data, and in short, the method effectively avoids the defect that the additive remanufacturing process excessively depends on the accumulation of human experience on the basis of the historical process data of the additive remanufacturing process by establishing the process database, thereby greatly expanding the range of the traditional additive remanufacturing industrial big data.

Fig. 6 schematically illustrates a flow chart for obtaining data to be repaired based on a detected product failure according to an embodiment of the present disclosure.

According to an embodiment of the present disclosure, data to be repaired includes: repair model data of the remanufactured product and material data of the remanufactured product.

As shown in fig. 6, the acquiring of the data to be repaired based on the detected product failure in operation S220 includes operations S221 to S223.

In operation S221, it is determined that the product meets a remanufacturing standard based on the detected product failure.

According to embodiments of the present disclosure, the remanufacturing criteria include, but are not limited to, the repair cost of the remanufactured product.

According to the embodiments of the present disclosure, although the object of remanufacturing is a defective part, it is not meant that all waste products can be applied with the additive remanufacturing method of the present disclosure. Considering economic factors, when the product is damaged to a certain degree and cannot be repaired or the repair cost is more than the cost for producing a new part, the remanufactured product is judged not to meet the remanufacturing standard, and the part is directly scrapped. And when the repair cost of the remanufactured product is less than the cost for producing the new part, judging that the remanufactured product meets the remanufacturing standard.

According to the embodiment of the present disclosure, after the operation S220, the method may further include estimating the repairability of the remanufactured product by using the obtained internal fault information, determining the repair cost of the remanufactured product, and if the repair cost of the additive remanufacturing is greater than the cost of producing a new product, directly scrapping the remanufactured product. The mode can fully excavate the added value contained in the remanufactured product, and avoid energy consumption and environmental pollution in a series of processing such as direct repair and reshaping of the remanufactured product.

In operation S222, physical model data of the remanufactured product and material data of the remanufactured product are acquired.

According to the embodiment of the disclosure, the three-dimensional CAD model data of the remanufactured product, i.e., the solid model data of the remanufactured product, can be obtained by scanning the external features of the remanufactured product through the 3D scanner. And determining material data of the remanufactured product according to the design requirements of the remanufactured product.

In operation S223, boolean operation is performed on the entity model data and the product design model data to obtain repair model data of the product.

In order to facilitate understanding of the above embodiments, a specific application scenario of the above embodiments is described as an example:

the existing remanufactured part is a shaft part, product design model data of the shaft part can be determined according to design requirements of the shaft part, and material data of the shaft part can be determined to be stainless steel materials according to the design requirements of the shaft part. The damage type of the shaft part is surface part entity loss, and the shaft part is scanned by a 3D scanner to obtain three-dimensional CAD model data of the shaft part, namely the entity model data of the shaft part. And performing Boolean operation on the shaft part solid model data and the product design model data, wherein the Boolean operation rule is to find intersection of the solid model data and the product design model data to obtain a solid missing model of the surface part of the shaft part as the repair model data of the remanufactured product because the damage type of the shaft part is surface part solid missing.

The method for obtaining the repair model data of the product by performing Boolean operation on the entity model data and the product design model data can obtain accurate repair model data under the condition of no damage to the remanufactured product, and can further improve the accuracy of the additive remanufacturing method.

Fig. 7 schematically illustrates a flowchart of determining whether historical process data corresponding to data to be repaired exists in a process database according to an embodiment of the disclosure.

As shown in fig. 7, the operations S231 to S233 are included in the operation S230 of determining whether there is historical process data corresponding to the data to be repaired in the process database.

In operation S231, it is determined whether the material data corresponding to the material data of the remanufactured product exists in the process database.

In operation S232, when the material data corresponding to the material data of the remanufactured product exists in the process database, it is determined that the historical process data corresponding to the data to be repaired exists in the process database.

In operation S233, when the material data corresponding to the material data of the remanufactured product does not exist in the process database, it is determined that the historical process data corresponding to the data to be repaired does not exist in the process database.

According to the additive remanufacturing method, whether historical process data corresponding to data to be repaired exist in the process data or not is judged, the historical process data in the process database are called, changed and supplemented, the optimal additive remanufacturing historical process data in the process database are called, and the historical process data are sent to the additive remanufacturing terminal to complete the additive remanufacturing process of a fault product. The method can improve the product repair efficiency, is convenient for technicians in the field to carry out big data summary on the influence rule of the related additive remanufacturing process parameters, optimizes the related parameters, and realizes intelligent and automatic control of the additive remanufacturing process.

Based on the material increase remanufacturing method, the disclosure also provides a material increase remanufacturing device. The apparatus will be described in detail below with reference to fig. 8.

Fig. 8 schematically shows a block diagram of an additive remanufacturing apparatus according to an embodiment of the present disclosure.

As shown in fig. 8, the additive remanufacturing apparatus 800 of this embodiment includes a process database creating module 810, an obtaining module 820, a determining module 830, a first transmitting module 840, and a second transmitting module 850.

The process database creation module 810 is configured to create a process database based on historical process data. In an embodiment, the process database building module 810 may be configured to perform the operation S210 described above, which is not described herein again.

The obtaining module 820 is configured to obtain data to be repaired based on the detected product failure. In an embodiment, the obtaining module 820 may be configured to perform the operation S220 described above, which is not described herein again.

The determining module 830 is configured to determine whether the historical process data corresponding to the data to be repaired exists in the process database. In an embodiment, the determining module 830 may be configured to perform the operation S230 described above, which is not described herein again.

The first sending module 840 is configured to send historical process data corresponding to the data to be repaired to an additive remanufacturing terminal when the process database includes the historical process data corresponding to the data to be repaired. In an embodiment, the first sending module 840 may be configured to perform the operation S240 described above, which is not described herein again.

The second sending module 850 is configured to send the data to be repaired to an operator terminal when the process database does not include historical process data corresponding to the data to be repaired; the operating body terminal is used for analyzing the data to be repaired to obtain newly added historical process data; the newly added process data can guide the operation of the additive remanufacturing terminal. In an embodiment, the second sending module 850 may be configured to perform the operation S250 described above, which is not described herein again.

According to an embodiment of the present disclosure, any multiple modules of the process database establishing module 810, the obtaining module 820, the determining module 830, the first sending module 840 and the second sending module 850 may be combined into one module to be implemented, or any one module thereof may be split into multiple modules. Alternatively, at least part of the functionality of one or more of these modules may be combined with at least part of the functionality of the other modules and implemented in one module. According to an embodiment of the present disclosure, at least one of the process database creating module 810, the obtaining module 820, the determining module 830, the first sending module 840 and the second sending module 850 may be at least partially implemented as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented by hardware or firmware in any other reasonable manner of integrating or packaging a circuit, or implemented by any one of three implementation manners of software, hardware and firmware, or implemented by a suitable combination of any several of them. Alternatively, at least one of the process database creation module 810, the acquisition module 820, the determination module 830, the first transmission module 840 and the second transmission module 850 may be at least partially implemented as a computer program module that, when executed, may perform a corresponding function.

According to an embodiment of the present disclosure, the second transmitting module 850 includes: the device comprises a first storage unit and a first sending unit.

According to another embodiment of the present disclosure, the second transmitting module 850 includes: a second storage unit and a second sending unit.

According to an embodiment of the disclosure, the process database creation module 810 includes: the device comprises a first determining unit, a second determining unit, a third determining unit, a fourth determining unit and a library establishing unit.

And the fourth determining unit is used for determining the scanning track data of the additive remanufacturing terminal according to the model data.

According to an embodiment of the present disclosure, the obtaining module 820 includes: a fifth determining unit, a first acquiring unit and an arithmetic unit.

According to an embodiment of the present disclosure, the determining module 830 includes: a first judging unit, a sixth determining unit and a seventh determining unit.

As shown in fig. 9, an electronic apparatus 900 according to an embodiment of the present disclosure includes a processor 901 which can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)902 or a program loaded from a storage portion 908 into a Random Access Memory (RAM) 903. Processor 901 may comprise, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or associated chipset, and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), among others. The processor 901 may also include on-board memory for caching purposes. The processor 901 may comprise a single processing unit or a plurality of processing units for performing the different actions of the method flows according to embodiments of the present disclosure.

In the RAM 903, various programs and data necessary for the operation of the electronic apparatus 900 are stored. The processor 901, the ROM 902, and the RAM 903 are connected to each other through a bus 904. The processor 901 performs various operations of the method flows according to the embodiments of the present disclosure by executing programs in the ROM 902 and/or the RAM 903. Note that the programs may also be stored in one or more memories other than the ROM 902 and the RAM 903. The processor 901 may also perform various operations of the method flows according to embodiments of the present disclosure by executing programs stored in the one or more memories.

Electronic device 900 may also include input/output (I/O) interface 905, input/output (I/O) interface 905 also connected to bus 904, according to an embodiment of the present disclosure. The electronic device 900 may also include one or more of the following components connected to the I/O interface 905: an input portion 906 including a keyboard, a mouse, and the like; an output section 907 including components such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 908 including a hard disk and the like; and a communication section 909 including a network interface card such as a LAN card, a modem, or the like. The communication section 909 performs communication processing via a network such as the internet. The drive 910 is also connected to the I/O interface 905 as necessary. A removable medium 911 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 910 as necessary, so that a computer program read out therefrom is mounted into the storage section 908 as necessary.

The present disclosure also provides a computer-readable storage medium, which may be contained in the apparatus/device/system described in the above embodiments; or may exist separately and not be assembled into the device/apparatus/system. The computer-readable storage medium carries one or more programs which, when executed, implement the method according to an embodiment of the disclosure.

According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, which may include, for example but is not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. For example, according to embodiments of the present disclosure, a computer-readable storage medium may include the ROM 902 and/or the RAM 903 described above and/or one or more memories other than the ROM 902 and the RAM 903.

Embodiments of the present disclosure also include a computer program product comprising a computer program containing program code for performing the method illustrated in the flow chart. When the computer program product is run in a computer system, the program code is used for causing the computer system to realize the additive remanufacturing method provided by the embodiment of the disclosure.

The computer program performs the above-described functions defined in the system/apparatus of the embodiments of the present disclosure when executed by the processor 901. The above described systems, devices, modules, units, etc. may be implemented by computer program modules according to embodiments of the present disclosure.

In one embodiment, the computer program may be hosted on a tangible storage medium such as an optical storage device, a magnetic storage device, or the like. In another embodiment, the computer program may also be transmitted, distributed in the form of a signal on a network medium, and downloaded and installed through the communication section 909 and/or installed from the removable medium 911. The computer program containing program code may be transmitted using any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.

In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 909, and/or installed from the removable medium 911. The computer program, when executed by the processor 901, performs the above-described functions defined in the system of the embodiment of the present disclosure. The systems, devices, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.

In accordance with embodiments of the present disclosure, program code for executing computer programs provided by embodiments of the present disclosure may be written in any combination of one or more programming languages, and in particular, these computer programs may be implemented using high level procedural and/or object oriented programming languages, and/or assembly/machine languages. The programming language includes, but is not limited to, programming languages such as Java, C + +, python, the "C" language, or the like. The program code may execute entirely on the user computing device, partly on the user device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

It will be appreciated by a person skilled in the art that various combinations or/and combinations of features recited in the various embodiments of the disclosure and/or in the claims may be made, even if such combinations or combinations are not explicitly recited in the disclosure. In particular, various combinations and/or combinations of the features recited in the various embodiments and/or claims of the present disclosure may be made without departing from the spirit or teaching of the present disclosure. All such combinations and/or associations are within the scope of the present disclosure.

The embodiments of the present disclosure have been described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described separately above, this does not mean that the measures in the embodiments cannot be used in advantageous combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the present disclosure, and such alternatives and modifications are intended to be within the scope of the present disclosure.

Claims

1. An additive remanufacturing method comprising:

establishing a process database according to historical process data;

acquiring data to be repaired based on the detected product fault;

2. The method of claim 1, wherein the additional process data is capable of directing operation of the additive remanufacturing terminal comprising:

3. The method of claim 1, wherein the additional process data is capable of directing operation of the additive remanufacturing terminal comprising:

4. The method of claim 1, wherein the historical process data comprises: material data, model data, melting temperature data, cooling temperature data, scanning speed data and scanning trajectory data;

obtaining the material data and the model data of the product;

wherein the process database includes a plurality of historical process data.

5. The method of claim 4, wherein the data to be repaired includes repair model data of a remanufactured product and material data of the remanufactured product, and the obtaining the data to be repaired based on the detected product failure includes:

6. The method as claimed in claim 5, wherein the determining whether the process database has historical process data corresponding to the data to be repaired comprises:

7. An additive remanufacturing apparatus comprising:

the judging module is used for judging whether the historical process data corresponding to the data to be repaired exist in the process database;

the second sending module is used for sending the data to be repaired to an operation body terminal when the process database does not contain historical process data corresponding to the data to be repaired; the operating body terminal is used for analyzing the data to be repaired to obtain newly added historical process data; the newly added process data can guide the operation of the additive remanufacturing terminal.

8. An electronic device, comprising:

one or more processors;

a storage device for storing one or more programs,

wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-6.

9. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method of any one of claims 1 to 6.

10. A computer program product comprising a computer program which, when executed by a processor, implements a method according to any one of claims 1 to 6.