CN115792169A - Melt composition correction system, method, electronic device and medium - Google Patents
Melt composition correction system, method, electronic device and medium Download PDFInfo
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Abstract
The invention belongs to the technical field of smelting, and aims to provide a melt composition correction system, a melt composition correction method, electronic equipment and a medium. The method comprises the following steps: controlling a charging robot to charge and conveying the materials to a smelting furnace; after the smelting of the smelting furnace is finished, controlling a feeding robot to automatically sample the smelting furnace and conveying a molten liquid sample to a component analyzer; controlling a component analyzer to detect a molten liquid sample to obtain component parameters of the molten liquid sample; and judging whether the difference value between the composition parameter of the molten sample and the process target data is within a preset range, if not, obtaining a correction result according to the composition parameter of the molten sample and the process target data, and then controlling a feeding robot to add alloy corresponding to the correction result to the smelting furnace according to the correction result. The automatic feeding device can realize automatic feeding of raw material aluminum ingots and automatic adjustment of target alloy liquid components, is beneficial to reducing the manual workload, and simultaneously improves the component control precision, efficiency and stability.
Description
Technical Field
The invention belongs to the technical field of smelting, and particularly relates to a melt composition correction system, a melt composition correction method, electronic equipment and a medium.
Background
At present, in most domestic casting workshops, alloy weighing, proportioning, feeding and other works in smelting furnace production are manually completed by a front worker, and under severe working environments such as high temperature, smoke dust, vibration, noise and the like, the labor intensity of the worker is extremely high, and feeding accuracy cannot be guaranteed. The automatic operation of an alloy feeding system becomes an important link in the process of restricting the automation of casting production and the modernization of casting management.
The automatic alloy feeding control system is an indispensable control system in the production of the electric melting furnace. In the early smelting link, the accuracy of alloy weighing determines the accuracy of alloy proportioning, and is directly related to the quality of alloy liquid; whether the alloy can be weighed quickly or not will directly affect the efficiency of smelting production.
In the process of smelting the aluminum alloy, the content of alloy components has great influence on the quality of the final alloy liquid. The conventional aluminum alloy smelting furnace has two main alloy adding processes:
a. manually adding, calculating the weight of each element to be added by comparing the target components of the alloy liquid by technicians according to the detection result of the components of the alloy liquid, and manually weighing each alloy by operators and adding into a smelting furnace.
b. Through the high-level alloy bins, the control system calculates the amount of various alloys to be added in the furnace, and the control system sequentially weighs the alloys in the high-level alloy bins and uniformly feeds the alloys into the smelting furnace after the alloys are gathered.
However, in the process of using the prior art, the inventor finds that at least the following problems exist in the prior art:
when the manual adding mode is adopted, manual operation is performed in a high-temperature environment, meanwhile, the manual calculation workload is large, and the calculation error is large. By adopting the automatic adding mode, the problems of large inertia and hysteresis in the weighing process exist, and the component control precision and stability are poor.
Disclosure of Invention
The present invention is directed to solving at least some of the above problems and provides a melt composition correction system, method, electronic device, and medium.
In order to achieve the purpose, the invention adopts the following technical scheme:
the first aspect provides a melt composition correction system which comprises a main control module, a charging robot, a smelting furnace, a feeding robot and a composition analyzer, wherein the charging robot, the smelting furnace, the feeding robot and the composition analyzer are all in communication connection with the main control module; wherein the content of the first and second substances,
the main control module is used for controlling the charging robot to charge and transmitting the materials to the smelting furnace so that the smelting furnace can smelt the materials;
the main control module is also used for controlling the feeding robot to automatically sample the smelting furnace after the smelting of the smelting furnace is finished, and transmitting a melt sample to the composition analyzer; and controlling a component analyzer to detect the molten liquid sample to obtain the component parameters of the molten liquid sample;
the main control module is further used for processing the molten sample composition parameters and static process target data, judging whether the difference value between the molten sample composition parameters and the process target data is within a preset range, if not, obtaining a correction result according to the molten sample composition parameters and the process target data, and then controlling a feeding robot to add alloy corresponding to the correction result to the smelting furnace according to the correction result so as to correct the alloy liquid composition in the smelting furnace.
The automatic feeding device can realize automatic feeding of raw material aluminum ingots and automatic adjustment of target alloy liquid components, and particularly, in the implementation process, the automatic feeding operation of materials is completed by controlling a charging robot to charge materials and transmitting the materials to a smelting furnace; and then, a feeding robot is controlled to automatically sample the smelting furnace, a component analyzer is controlled to detect a molten sample to obtain molten sample component parameters, the molten sample component parameters and static process target data are processed, a correction result is obtained according to the molten sample component parameters and the process target data when the difference value between the molten sample component parameters and the process target data is not within a preset range, and then the feeding robot is controlled to add alloy corresponding to the correction result to the smelting furnace according to the correction result to correct the alloy liquid components in the smelting furnace, so that the intelligent correction of the alloy liquid component parameters is completed, the smelting and refining effects of the alloy are favorably improved, early-stage equipment and technical guarantee are provided for the casting and forming of large-scale aluminum alloy castings, meanwhile, manual operation can be avoided, the manual workload is favorably reduced, and the component control accuracy, efficiency and stability are improved.
In one possible design, the melt composition correction system further comprises a human-computer interaction module, and the human-computer interaction module is in communication connection with the main control module; wherein the content of the first and second substances,
the man-machine interaction module is used for receiving a control instruction so that the main control module can control the charging robot, the smelting furnace, the feeding robot and/or the component analyzer to operate, and the man-machine interaction module is also used for displaying data sent by the main control module.
In one possible design, the melt composition correction system further comprises a smelting information acquisition module, the smelting information acquisition module is arranged in the smelting furnace, and the smelting information acquisition module is in communication connection with the main control module; wherein the content of the first and second substances,
the smelting information acquisition module is used for acquiring smelting state information of the smelting furnace and sending the smelting state information to the main control module.
In a second aspect, a melt composition correction method is provided, which is implemented based on the main control module in the intelligent melt composition correction system described in any one of the above embodiments, and the method includes:
controlling the charging robot to charge and convey the materials to the smelting furnace so that the smelting furnace can smelt the materials;
after the smelting of the smelting furnace is finished, controlling a feeding robot to automatically sample the smelting furnace and transmitting a molten liquid sample to a component analyzer;
controlling a component analyzer to detect a molten liquid sample to obtain component parameters of the molten liquid sample;
processing the melt sample composition parameters and static process target data, judging whether the difference value between the melt sample composition parameters and the process target data is within a preset range, if not, obtaining a correction result according to the melt sample composition parameters and the process target data, and then entering the next step;
and controlling a feeding robot to add the alloy corresponding to the correction result to the smelting furnace according to the correction result so as to correct the alloy liquid composition in the smelting furnace.
In one possible design, the correction result includes a length of an alloy ingot of a specified alloy type; wherein, the length of any alloy ingot is as follows:
X＝(a-b)*Q/d/ρ；
wherein a is the target content of the specified alloy component in the process target data, b is the analysis content of the specified alloy component in the melt sample component parameters, Q is the weight of the melt sample, d is the content of the specified alloy component in the current alloy ingot, and rho is the density of the current alloy ingot.
In one possible design, the melt composition correction system further comprises a smelting information acquisition module, the smelting information acquisition module is arranged in the smelting furnace, and the smelting information acquisition module is in communication connection with the main control module; correspondingly, after obtaining the composition parameters of the molten liquid sample, the method further comprises the following steps:
and displaying the composition parameters of the molten liquid sample through a human-computer interaction module.
In a third aspect, an electronic device is provided, including:
a memory for storing computer program instructions; and (c) a second step of,
a processor for executing the computer program instructions to perform the operations of the melt composition correction method as in any one of the above.
In a fourth aspect, there is provided a computer readable storage medium for storing computer readable computer program instructions configured to perform operations of the melt composition correction method as in any one of the above when executed.
Drawings
FIG. 1 is a block diagram of a melt composition correction system in accordance with an exemplary embodiment;
FIG. 2 is a flow chart of a melt composition correction method in an example.
Detailed Description
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the present invention will be briefly described below with reference to the accompanying drawings and the embodiments or the description of the prior art, it is obvious that the following description of the structure of the drawings is only some embodiments of the present invention, and it is also possible for those skilled in the art to obtain other drawings based on the drawings without creative efforts. It should be noted that the description of the embodiments is provided to help understanding of the present invention, and the present invention is not limited thereto.
Example 1:
a first aspect of this embodiment provides a melt composition correction system, as shown in fig. 1, including a main control module, a charging robot, a melting furnace, a feeding robot, and a composition analyzer, where the charging robot, the melting furnace, the feeding robot, and the composition analyzer are all in communication connection with the main control module; wherein the content of the first and second substances,
the main control module is used for controlling the charging robot to charge and transmitting the materials to the smelting furnace so that the smelting furnace can smelt the materials;
the main control module is also used for controlling the feeding robot to automatically sample the smelting furnace after the smelting of the smelting furnace is finished and transmitting a molten liquid sample to the composition analyzer; and controlling a component analyzer to detect the molten liquid sample to obtain the component parameters of the molten liquid sample;
the main control module is further used for processing the melt sample composition parameters and static process target data, judging whether the difference value between the melt sample composition parameters and the process target data is within a preset range, if not, obtaining a correction result according to the melt sample composition parameters and the process target data, and then controlling a feeding robot to add alloy corresponding to the correction result to a smelting furnace according to the correction result so as to correct the alloy liquid composition in the smelting furnace.
The automatic feeding method can realize automatic feeding of the raw material aluminum ingot and automatic adjustment of the target alloy liquid components, and particularly, in the implementation process, the charging robot is controlled to charge materials, and the materials are conveyed to the smelting furnace, so that the automatic feeding operation of the materials is completed; the method comprises the steps of firstly, controlling a feeding robot to automatically sample a smelting furnace, controlling a composition analyzer to detect a molten sample to obtain molten sample composition parameters, then, processing the molten sample composition parameters and static process target data, and obtaining a correction result according to the molten sample composition parameters and the process target data when the difference value of the molten sample composition parameters and the process target data is not within a preset range, further, controlling the feeding robot to add alloy corresponding to the correction result into the smelting furnace according to the correction result to correct the alloy liquid composition in the smelting furnace, thereby completing intelligent correction of the alloy liquid composition parameters, facilitating improvement of the smelting and refining effects of the alloy, providing early-stage equipment and technical guarantee for large-scale aluminum alloy casting forming, simultaneously avoiding manual operation, facilitating reduction of manual workload, and simultaneously improving composition control accuracy, efficiency and stability.
In this embodiment, the melting furnace is mainly used for melting materials such as ingots and alloys, and maintaining the temperature of the alloy liquid, and the final product obtained by melting the materials by the melting furnace is the alloy liquid with a certain temperature.
In this embodiment, the network connections between the main control module and the modules such as the charging robot, the melting furnace, the feeding robot, the composition analyzer and the like are all connected by using a standard industrial ethernet, and a TCP/IP protocol is used, so as to ensure the uniformity of the network protocol and the rapidity of data transmission. Specifically, in this embodiment, the main control module is configured with a communication network card to realize information exchange between the main control module and the charging robot, the smelting furnace, the feeding robot, the composition analyzer, and other devices.
In this embodiment, the main control module may be implemented by, but not limited to, an S7-1200/S7-1500 series main controller, and the communication connection between the charging robot, the melting furnace, the feeding robot, and the composition analyzer is implemented in a remote station control manner.
In this embodiment, the melt composition correction system further comprises a human-computer interaction module, and the human-computer interaction module is in communication connection with the main control module; wherein the content of the first and second substances,
the man-machine interaction module is used for receiving a control instruction so that the main control module can control the charging robot, the smelting furnace, the feeding robot and/or the component analyzer to operate, and the man-machine interaction module is also used for displaying data sent by the main control module.
Specifically, in this embodiment, the user may implement the following operations with respect to the human-computer interaction module: the method comprises the steps of setting the charging amount, inputting, storing and modifying target alloy components, setting a feeding material list, dynamically displaying states and electrical parameters of all devices in the feeding process, manually adjusting process parameters, generally operating and displaying electrical devices, alarming, recording and storing faults and the like.
In this embodiment, the melt composition correction system further includes a melting information acquisition module, the melting information acquisition module is disposed in the melting furnace, and the melting information acquisition module is in communication connection with the main control module; wherein, the first and the second end of the pipe are connected with each other,
the smelting information acquisition module is used for acquiring smelting state information of the smelting furnace and sending the smelting state information to the main control module. It should be noted that the smelting state information includes smelting temperature, alloy liquid weight, and the like, and the smelting information acquisition module sends the smelting state information to the main control module, so that the main control module can conveniently realize real-time monitoring of the smelting state of the smelting furnace.
Example 2:
the second aspect of the present embodiment provides a method for correcting a melt composition, which may be, but not limited to, executed by a computer device or a virtual machine having certain computing resources, for example, an electronic device such as a personal computer, a smart phone, a personal digital assistant, or a wearable device, or executed by a virtual machine.
The melt composition correction method in this embodiment is implemented based on the main control module in the intelligent melt composition correction system, as shown in fig. 2, a melt composition correction method may include, but is not limited to, the following steps:
s1, controlling a charging robot to charge, and transmitting the material to a smelting furnace so that the smelting furnace can smelt the material; in this embodiment, the material includes material ingots, alloys, and the like, and the material ingots are, for example, pure aluminum ingots and alloy ingots of main elements to be added, so that the melting furnace can melt the material ingots to obtain an alloy liquid; in addition, in the present embodiment, in order to ensure the adjustment of the alloy liquid composition in the later stage of melting, the charging amount of the material such as ingot and alloy is low or high. Specifically, in order to ensure the precision and consistency of component correction, the high precision of the intermediate alloy replenishment amount is ensured through the matching of large and small ingot materials, specifically, the materials in the embodiment adopt two specifications of large platy ingots and small waffle ingots which are respectively used for coarse adjustment and fine adjustment of components, the design weights are respectively 6 +/-0.5 kg and 0.4 +/-0.05 kg, and the blanking is completed through a furnace charging robot and a bin.
For example, in the present example, the composition and weight specifications of the master alloy ingot for correction are shown in table 1 below.
FIG. 1 shows the composition and weight specifications of an intermediate alloy ingot for correction
When the smelting furnace is used for smelting materials, the materials are stirred in an electromagnetic stirring mode, and argon blowing operation is performed from the bottom of the materials in the smelting process so as to reduce the oxygen content in the materials.
And S2, after the smelting of the smelting furnace is finished, controlling a feeding robot to automatically sample the smelting furnace, and conveying the molten liquid sample to a composition analyzer.
S3, controlling a component analyzer to detect the molten liquid sample to obtain the component parameters of the molten liquid sample; specifically, in this embodiment, the composition analyzer can obtain parameters such as the weight of the molten sample and the alloy composition therein.
In this embodiment, after obtaining the composition parameters of the molten sample, the method further includes:
and displaying the composition parameters of the melt sample through a human-computer interaction module.
And S4, processing the composition parameters of the melt sample and static process target data according to the composition change analysis and compensation module and the alloy minimum cost module.
And S5, judging whether the difference value between the melt sample composition parameter and the process target data is within a preset range, and if not, entering the next step.
And S6, obtaining a correction result according to the melt sample composition parameters and the process target data. It should be noted that the correction result includes compensation information of each element, so that the main control module controls the feeding robot to add an alloy corresponding to the correction result to the smelting furnace. In this embodiment, the minimum cost module is determined according to the requirements of the initial components and the target components of the melt, the yield of each element, the amount of the melt, and the like, and through model calculation, on the premise of ensuring the consistency of components and properties, the alloy input amount and the cost combination which can meet the process requirements and have the lowest cost are obtained. The parameters of the components of the molten sample comprise the temperature of the sampled alloy liquid, the components (Cu, mn, mg, ti, etc.), the theoretical weight of the melt, etc., and the correction result comprises the type of the alloy to be added, the theoretical weight, etc. In this embodiment, the correction result is embodied in the man-machine interaction module in the form of a feed list.
In this embodiment, the correction result includes the length of the alloy ingot of the specified alloy type; wherein the length of any alloy ingot is as follows:
X＝(a-b)*Q/d/ρ；
wherein a is the target content of the specified alloy component in the process target data, b is the analysis content of the specified alloy component in the melt sample component parameters, Q is the weight of the melt sample, d is the content of the specified alloy component in the current alloy ingot, and rho is the density of the current alloy ingot.
And S7, controlling a feeding robot to add the alloy corresponding to the correction result to the smelting furnace according to the correction result so as to correct the alloy liquid composition in the smelting furnace, so that the alloy liquid composition meets the requirements of the next procedure.
And S8, controlling the smelting furnace to output the alloy liquid so that the alloy liquid is transported to the next working procedure through a chute of the smelting furnace.
Specifically, in this embodiment, the process of adding the alloy corresponding to the correction result to the smelting furnace by the feeding robot is controlled according to the correction result, that is, the process of performing component correction on the alloy in the smelting furnace by the main control module, and the process is divided into two steps, namely, a specified amount of large-block plate-shaped ingot-sized intermediate alloy is added into the smelting furnace by the feeding robot, and a specified amount of small-block wafer ingot-sized intermediate alloy is added into the smelting furnace, and in this process, the feeding robot grabs the intermediate alloy in a manner of combining counting and weighing, so as to ensure the correction accuracy.
The automatic feeding of the raw material aluminum ingot and the automatic adjustment of the target alloy liquid components can be realized, and specifically, in the implementation process, the charging robot is controlled to charge materials, and the materials are conveyed to the smelting furnace, so that the automatic feeding operation of the materials is completed; the method comprises the steps of firstly, controlling a feeding robot to automatically sample a smelting furnace, controlling a composition analyzer to detect a molten sample to obtain molten sample composition parameters, then, processing the molten sample composition parameters and static process target data, and obtaining a correction result according to the molten sample composition parameters and the process target data when the difference value of the molten sample composition parameters and the process target data is not within a preset range, further, controlling the feeding robot to add alloy corresponding to the correction result into the smelting furnace according to the correction result to correct the alloy liquid composition in the smelting furnace, thereby completing intelligent correction of the alloy liquid composition parameters, facilitating improvement of the smelting and refining effects of the alloy, providing early-stage equipment and technical guarantee for large-scale aluminum alloy casting forming, simultaneously avoiding manual operation, facilitating reduction of manual workload, and simultaneously improving composition control accuracy, efficiency and stability.
It should be noted that, as shown in the results of thermal regulation and verification and examination shown in table 2, the melt composition correction method based on the feeding mathematical model in this embodiment can achieve a feeding error within (-0.39%, + 0.32%), and the fluctuation range of the alloy composition after correction is stabilized within (-53.3%, + 33.3%) of the GB1173 allowable range, thereby achieving dynamic, precise, fast, and automatic regulation of large-tonnage, multi-element, and high-burnout aluminum melt compositions.
TABLE 2ZL114A ingredient correction test feed error and ingredient interval statistical table
Example 3:
on the basis of embodiment 2, a third aspect of this embodiment provides an electronic device, and the electronic device may be a smartphone, a tablet computer, a notebook computer, or a desktop computer. The electronic device may be referred to as a terminal, a portable terminal, a desktop terminal, or the like, and includes:
a memory for storing computer program instructions; and the number of the first and second groups,
a processor for executing the computer program instructions to perform the operations of the melt composition correction method as described in any of example 2.
Example 4:
a fourth aspect of this embodiment provides, on the basis of any one of embodiments 2 to 3, a computer-readable storage medium storing computer-readable computer program instructions configured to, when executed, perform the operations of the melt composition correction method according to embodiment 2.
It should be noted that the functions described herein, if implemented in software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present invention or a part thereof which substantially contributes to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk, and various media capable of storing program codes.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and they may alternatively be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, or fabricated separately as individual integrated circuit modules, or fabricated as a single integrated circuit module from multiple modules or steps. Thus, the present invention is not limited to any specific combination of hardware and software.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: modifications of the technical solutions described in the embodiments or equivalent replacements of some technical features may still be made. And such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Finally, it should be noted that: the above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. A melt composition modification system, characterized by: the automatic smelting furnace comprises a main control module, a furnace loading robot, a smelting furnace, a feeding robot and a composition analyzer, wherein the furnace loading robot, the smelting furnace, the feeding robot and the composition analyzer are all in communication connection with the main control module; wherein, the first and the second end of the pipe are connected with each other,
the main control module is used for controlling the charging robot to charge and transmitting the materials to the smelting furnace so that the smelting furnace can smelt the materials;
the main control module is also used for controlling the feeding robot to automatically sample the smelting furnace after the smelting of the smelting furnace is finished and transmitting a molten liquid sample to the composition analyzer; and controlling a component analyzer to detect the molten liquid sample to obtain the component parameters of the molten liquid sample;
the main control module is further used for processing the melt sample composition parameters and static process target data, judging whether the difference value between the melt sample composition parameters and the process target data is within a preset range, if not, obtaining a correction result according to the melt sample composition parameters and the process target data, and then controlling a feeding robot to add alloy corresponding to the correction result to a smelting furnace according to the correction result so as to correct the alloy liquid composition in the smelting furnace.
2. A melt composition modification system as defined in claim 1, wherein: the melt composition correction system also comprises a human-computer interaction module, and the human-computer interaction module is in communication connection with the main control module; wherein the content of the first and second substances,
the man-machine interaction module is used for receiving a control instruction so that the main control module controls the operation of the charging robot, the smelting furnace, the feeding robot and/or the component analyzer, and the man-machine interaction module is also used for displaying data sent by the main control module.
3. A melt composition modification system as defined in claim 1, wherein: the melt composition correction system further comprises a smelting information acquisition module, the smelting information acquisition module is arranged in the smelting furnace, and the smelting information acquisition module is in communication connection with the main control module; wherein the content of the first and second substances,
the smelting information acquisition module is used for acquiring smelting state information of the smelting furnace and sending the smelting state information to the main control module.
4. A method of melt composition modification, characterized by: the melt composition intelligent correction system is realized based on a main control module in any one of claims 1 to 3, and the method comprises the following steps:
controlling the charging robot to charge and transmitting the materials to a smelting furnace so that the smelting furnace can smelt the materials;
after the smelting of the smelting furnace is finished, controlling a feeding robot to automatically sample the smelting furnace and transmitting a molten liquid sample to a component analyzer;
controlling a component analyzer to detect a molten liquid sample to obtain component parameters of the molten liquid sample;
processing the molten sample composition parameters and static process target data, judging whether the difference value of the molten sample composition parameters and the process target data is within a preset range, if not, obtaining a correction result according to the molten sample composition parameters and the process target data, and then entering the next step;
and controlling a feeding robot to add the alloy corresponding to the correction result to the smelting furnace according to the correction result so as to correct the alloy liquid composition in the smelting furnace.
5. The method of claim 4, wherein the step of correcting the composition of the melt further comprises the steps of: the correction result comprises the length of an alloy ingot of a specified alloy type; wherein, the length of any alloy ingot is as follows:
X＝(a-b)*Q/d/ρ；
wherein a is the target content of the specified alloy component in the process target data, b is the analysis content of the specified alloy component in the melt sample component parameters, Q is the weight of the melt sample, d is the content of the specified alloy component in the current alloy ingot, and rho is the density of the current alloy ingot.
6. The method of claim 4, wherein the step of correcting the composition of the melt further comprises the steps of: the melt composition correction system further comprises a smelting information acquisition module, the smelting information acquisition module is arranged in the smelting furnace, and the smelting information acquisition module is in communication connection with the main control module; correspondingly, after obtaining the composition parameters of the molten liquid sample, the method further comprises the following steps:
and displaying the composition parameters of the melt sample through a human-computer interaction module.
7. An electronic device, characterized in that: the method comprises the following steps:
a memory for storing computer program instructions; and (c) a second step of,
a processor for executing the computer program instructions to perform the operations of the melt composition correction method of any of claims 4 to 6.
8. A computer-readable storage medium storing computer-readable computer program instructions, characterized in that: the computer program instructions are configured to, when executed, perform operations of the melt composition modification method of any one of claims 4 to 6.
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| CN117831657A (en) * | 2024-03-06 | 2024-04-05 | 宝鸡核力材料科技有限公司 | Smelting method, system and medium for realizing hot rolled coil based on electron beam cooling bed furnace |
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| CN117831657A (en) * | 2024-03-06 | 2024-04-05 | 宝鸡核力材料科技有限公司 | Smelting method, system and medium for realizing hot rolled coil based on electron beam cooling bed furnace |
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