CN115255074B - Forming control method and system for nuclear grade alloy steel elbow - Google Patents
Forming control method and system for nuclear grade alloy steel elbow Download PDFInfo
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Abstract
The invention provides a forming control method and a forming control system for a nuclear grade alloy steel elbow, which relate to the technical field of digital processing, and the method comprises the following steps: basic information is collected, and fitting of workpieces is carried out, so that fitted workpieces are obtained; setting molding control precision, and dividing a grid area to obtain a grid area division result; generating a region fitting control result; acquiring thickness parameters, and performing control comparison between the acquired results and the region fitting control results to generate deformation uniformity evaluation parameters; obtaining an image acquisition result; obtaining deformation abnormal node evaluation parameters; and generating adjustment control parameters to control the forming of the workpiece to be formed. The technical problems that the toughness and fatigue performance of the nuclear grade alloy steel elbow workpiece cannot meet the requirements corresponding to the working environment of the nuclear grade alloy steel elbow due to low precision of the forming process parameters of the nuclear grade alloy steel elbow are solved, the precision control of the forming process parameters of the nuclear grade alloy steel elbow is achieved, the toughness of the nuclear grade alloy steel elbow workpiece is improved, and the technical effect of the fatigue performance of the nuclear grade alloy steel elbow is guaranteed.
Description
Technical Field
The invention relates to the technical field of digital processing, in particular to a forming control method and system of a nuclear grade alloy steel elbow.
Background
The nuclear grade alloy steel elbow is an important connecting component of a nuclear power pipeline, the nuclear grade alloy steel elbow part bears the effects of high-purity water corrosion and high-frequency fatigue with higher temperature, higher pressure and higher flow rate in the service life, the working environment is very bad, the forming process parameters of the nuclear grade alloy steel elbow are precisely controlled, and the fatigue performance of the nuclear grade alloy steel elbow can be effectively ensured to meet the working environment requirement of the nuclear grade alloy steel elbow.
In the prior art, the precision of the forming process parameters of the nuclear grade alloy steel elbow is low, so that the toughness and fatigue performance of the nuclear grade alloy steel elbow workpiece cannot meet the corresponding requirements of the working environment.
Disclosure of Invention
The forming control method and system for the nuclear grade alloy steel elbow solve the technical problems that the forming process parameters of the nuclear grade alloy steel elbow are low in accuracy, so that the toughness and fatigue performance of a workpiece of the nuclear grade alloy steel elbow cannot meet the requirements corresponding to the working environment of the workpiece, achieve the accurate control of the forming process parameters of the nuclear grade alloy steel elbow, improve the toughness of the workpiece of the nuclear grade alloy steel elbow, and guarantee the fatigue performance of the workpiece of the nuclear grade alloy steel elbow.
In view of the above problems, the present application provides a method and a system for controlling the formation of a nuclear grade alloy steel elbow.
In a first aspect, the present application provides a method for controlling forming of a nuclear grade alloy steel elbow, where the method is applied to an intelligent forming control system, and the intelligent forming control system is in communication connection with a forming fitting device, an image acquisition device, and an ultrasonic thickness measuring device, and the method includes: collecting basic information of a workpiece to be formed, and fitting the workpiece to be formed through the forming fitting equipment according to the basic information to obtain a fitted workpiece; setting forming control precision, and dividing grid areas of the fitting workpiece through the forming control precision to obtain a grid area division result; according to preset control parameters, based on control fitting of the fitting workpiece, and based on the grid region dividing result, generating a region fitting control result, wherein the region fitting control result is provided with a time mark; acquiring thickness parameters of the workpiece to be formed through the ultrasonic thickness measuring equipment, and performing control comparison of the region fitting control result according to acquisition coordinates on the acquired thickness parameter acquisition results to generate deformation uniformity evaluation parameters; the image acquisition device is used for acquiring the image of the workpiece to be formed, so that an image acquisition result is obtained; carrying out overall deformation analysis according to the fitting workpiece and the image acquisition result to obtain deformation abnormal node evaluation parameters; generating adjustment control parameters according to the deformation uniformity evaluation parameters and the deformation abnormal node evaluation parameters, and performing forming control on the workpiece to be formed through the adjustment control parameters.
In a second aspect, the present application provides a forming control system for a nuclear grade alloy steel elbow, wherein the system comprises: the data acquisition unit is used for acquiring basic information of a workpiece to be formed, and fitting the workpiece to be formed through forming fitting equipment according to the basic information to obtain a fitting workpiece; the grid region dividing unit is used for setting forming control precision, and dividing the grid region of the fitting workpiece through the forming control precision to obtain a grid region dividing result; the control fitting unit is used for performing control fitting based on the fitting workpiece according to preset control parameters and generating a region fitting control result based on the grid region dividing result, wherein the region fitting control result is provided with a time mark; the control comparison unit is used for acquiring thickness parameters of the workpiece to be formed through ultrasonic thickness measuring equipment, and performing control comparison of the region fitting control result according to acquisition coordinates on the acquired thickness parameter acquisition result to generate deformation uniformity evaluation parameters; the image acquisition unit is used for acquiring the image of the workpiece to be formed through image acquisition equipment to obtain an image acquisition result; the integral deformation analysis unit is used for carrying out integral deformation analysis according to the fitting workpiece and the image acquisition result to obtain deformation abnormal node evaluation parameters; and the parameter control unit is used for generating adjustment control parameters according to the deformation uniformity evaluation parameters and the deformation abnormal node evaluation parameters, and carrying out forming control on the workpiece to be formed through the adjustment control parameters.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the method comprises the steps of acquiring basic information of a workpiece to be formed, fitting the workpiece to be formed, obtaining a fitted workpiece, setting forming control precision, dividing grid areas of the fitted workpiece, obtaining grid area division results, generating area fitting control results according to control fitting of preset control parameters based on the fitted workpiece, acquiring thickness parameters of the workpiece to be formed, comparing the acquired thickness parameter acquisition results with the control of the area fitting control results, generating deformation uniformity evaluation parameters, acquiring images of the workpiece to be formed, obtaining image acquisition results, carrying out integral deformation analysis by combining the fitted workpiece, obtaining deformation abnormal node evaluation parameters, generating adjustment control parameters by combining the deformation uniformity evaluation parameters, and controlling forming of the workpiece to be formed. The embodiment of the application achieves the technical effects of accurately controlling the forming technological parameters of the nuclear grade alloy steel elbow, improving the toughness of the nuclear grade alloy steel elbow workpiece and guaranteeing the fatigue performance of the nuclear grade alloy steel elbow.
Drawings
FIG. 1 is a schematic flow chart of a method for controlling the forming of a nuclear grade alloy steel elbow;
FIG. 2 is a schematic flow chart of a method for controlling the forming of a nuclear grade alloy steel elbow to obtain a mesh region dividing result;
FIG. 3 is a schematic flow chart of a forming control method of a nuclear grade alloy steel elbow according to the present application, wherein the forming control is performed on a workpiece based on forming control feedback parameters;
fig. 4 is a schematic structural diagram of a forming control system for a nuclear grade alloy steel elbow of the present application.
Reference numerals illustrate: the system comprises a data acquisition unit 11, a grid region dividing unit 12, a control fitting unit 13, a control comparison unit 14, an image acquisition unit 15, an integral deformation analysis unit 16 and a parameter control unit 17.
Detailed Description
The forming control method and system for the nuclear grade alloy steel elbow solve the technical problems that the forming process parameters of the nuclear grade alloy steel elbow are low in accuracy, so that the toughness and fatigue performance of a workpiece of the nuclear grade alloy steel elbow cannot meet the requirements corresponding to the working environment of the workpiece, achieve the accurate control of the forming process parameters of the nuclear grade alloy steel elbow, improve the toughness of the workpiece of the nuclear grade alloy steel elbow, and guarantee the fatigue performance of the workpiece of the nuclear grade alloy steel elbow.
Example 1
As shown in fig. 1, the present application provides a forming control method of a nuclear grade alloy steel elbow, wherein the method is applied to an intelligent forming control system, the intelligent forming control system is in communication connection with a forming fitting device, an image acquisition device and an ultrasonic thickness measuring device, and the method includes:
s100: collecting basic information of a workpiece to be formed, and fitting the workpiece to be formed through the forming fitting equipment according to the basic information to obtain a fitted workpiece;
s200: setting forming control precision, and dividing grid areas of the fitting workpiece through the forming control precision to obtain a grid area division result;
specifically, the forming fitting equipment is an operation platform for forming a workpiece, the image acquisition equipment can be a camera or any other image acquisition device, the ultrasonic thickness measuring equipment determines the thickness of the workpiece through ultrasonic wave transmission and reception, specifically, the time difference between ultrasonic wave transmission and reception determines the thickness of the workpiece through propagation time and the propagation speed of the sound wave on the workpiece, the communication connection simply means the transmission interaction of signals, and the communication is formed between the intelligent forming control system and the forming fitting equipment, the image acquisition equipment and the ultrasonic thickness measuring equipment, so that the technical support is provided for subsequent data processing.
Specifically, basic information of a workpiece to be formed is collected, wherein the basic information comprises, but is not limited to, material information, hardness information, size information and shape information of the workpiece, and fitting of the workpiece to be formed is carried out through the forming fitting equipment according to the basic information to obtain a fitted workpiece; setting the molding control precision, generally, dividing as many grids as possible while ensuring the simulation operation efficiency, particularly, dividing as few grids as possible on the premise of not influencing the molding quality of the workpiece for the part which does not participate in plastic deformation and only generates temperature change, and carrying out grid region division of the fitting workpiece through the molding control precision to obtain a grid region division result, thereby providing technical theoretical support for subsequent data analysis processing.
Further, as shown in fig. 2, the step S320 includes:
s210: obtaining the size parameter information of the workpiece to be formed according to the basic information;
s220: constructing a molding precision control grade through big data, and generating grid quantity constraint parameters through the molding control precision, the size parameter information and the molding precision control grade;
s230: performing deformation scale analysis on the workpiece to be formed according to the basic information, and generating grid size constraint parameters according to deformation scale analysis results;
s240: and carrying out grid region division on the fitting workpiece according to the grid quantity constraint parameters and the grid size constraint parameters to obtain a grid region division result.
Specifically, the size parameter information of the workpiece to be formed is obtained according to the size information and the shape information in the basic information; constructing a molding precision control grade through big data, and generating grid quantity constraint parameters through the molding control precision, the size parameter information and the molding precision control grade, wherein the grid quantity constraint parameters are all positive integers; performing deformation scale analysis on the workpiece to be formed according to the basic information, and generating grid size constraint parameters according to deformation scale analysis results; and carrying out grid region division of the fitting workpiece according to the grid quantity constraint parameters and the grid size constraint parameters, carrying out distributed adjustment optimization on the grid division of the workpiece by combining deformation scale analysis to obtain a grid region division result, and improving the effectiveness of the grid region division result.
Further specifically, the deformation scale analysis of the workpiece to be formed is performed according to the basic information, the deformation scale evaluation is performed on the generated plastic deformation, the number of grids corresponding to the position with large plastic deformation is large, the number of grids corresponding to the position with small plastic deformation is small, and technical support is provided for guaranteeing the processing efficiency of data information.
Further, the embodiment of the application further includes:
s250: collecting historical workpiece forming results, and summarizing defects to obtain a defect set;
s260: comparing the defect position frequency according to the defect set, and obtaining an abnormal position set based on a comparison result;
s270: sorting and correcting the abnormal position set according to the actual defect influence value of the defect set to obtain a corrected abnormal position set;
s280: and carrying out constraint adjustment on the grid size constraint parameters according to the corrected abnormal position set to obtain adjusted grid size constraint parameters, and obtaining the grid region division result through the adjusted grid size constraint parameters.
Specifically, based on a data information storage unit of the intelligent forming control system, historical workpiece forming results are collected, defect summarization is carried out, and a defect set is obtained; comparing the defect position frequency according to the defect set, and extracting data of the defect positions with high defect position frequency through a comparison result to obtain an abnormal position set; sorting and correcting the abnormal position set according to the actual defect influence value of the defect set, wherein the sorting can be used for sorting the data values passing through the actual defect influence value from big to small to obtain a corrected abnormal position set; and carrying out constraint adjustment on the grid size constraint parameters according to the corrected abnormal position set, moderately adjusting the grid of the abnormal position to be corrected, moderately adjusting the grid of the position to be corrected, improving the accuracy of grid division, obtaining the grid size constraint parameters, obtaining the grid region division result through the grid size constraint parameters, and accurately optimizing the grid division from the abnormal position correction angle, thereby further ensuring the accuracy of the grid division result.
Further, the embodiment of the application further includes:
s281: performing influence evaluation of the technological parameters according to the defect set, and generating an influence evaluation result of the technological parameters;
s282: performing process fitting control optimization according to the influence evaluation result to obtain optimized control parameters;
s283: and performing forming control on the workpiece to be formed according to the optimized control parameters.
Specifically, the process parameters include, but are not limited to, temperature information and speed information, performing influence evaluation of the process parameters according to the defect set, performing influence evaluation of the process parameters through a TOPSIS method (Technique for Order Preference by Similarity to ideal Sulution, superior-inferior solution distance method), and generating an influence evaluation result of the process parameters, wherein an algorithm corresponding to the influence evaluation of the process parameters is not unique, the above description is to ensure that the scheme can be implemented, and the algorithm corresponding to the influence evaluation of the process parameters is preferably calculated and is not limited; performing process fitting control optimization according to the influence evaluation result to obtain optimized control parameters; and forming control of the workpiece to be formed is performed according to the optimized control parameters, so that reliability of the optimized control parameters is ensured.
S300: according to preset control parameters, based on control fitting of the fitting workpiece, and based on the grid region dividing result, generating a region fitting control result, wherein the region fitting control result is provided with a time mark;
s400: acquiring thickness parameters of the workpiece to be formed through the ultrasonic thickness measuring equipment, and performing control comparison of the region fitting control result according to acquisition coordinates on the acquired thickness parameter acquisition results to generate deformation uniformity evaluation parameters;
specifically, generating a region fitting control result according to preset control parameters, the control fitting of the fitting workpiece and the grid region dividing result, wherein the region fitting control result is provided with a time mark, and the time mark is consistent with the time mark of the control fitting of the fitting workpiece; the uniformity of deformation can be intuitively reflected in the aspect of the uniformity of the final wall thickness of the workpiece to be formed, the ultrasonic thickness measuring equipment is used for collecting the thickness parameters of the workpiece to be formed, the obtained thickness parameter collecting results are used for controlling and comparing the region fitting control results according to the collecting coordinates, so that deformation uniformity evaluation parameters are generated, the deformation uniformity evaluation parameters are generated from the angles of regions, the thickness parameters of the workpiece to be formed corresponding to different regions are possibly inconsistent, the accuracy of data information is ensured, partitioning is carried out, the deformation uniformity evaluation parameters are generated, the accuracy of the data information is effectively improved, and a stable and effective data basis is provided for subsequent data processing.
S500: the image acquisition device is used for acquiring the image of the workpiece to be formed, so that an image acquisition result is obtained;
s600: carrying out overall deformation analysis according to the fitting workpiece and the image acquisition result to obtain deformation abnormal node evaluation parameters;
further, the optimizing of the adjustment control parameter is performed according to the association relationship construction result, and step S600 further includes:
s610: judging whether the deformation uniformity evaluation parameter and the deformation abnormal node evaluation parameter have an association relation or not;
s620: when the deformation uniformity evaluation parameter and the deformation abnormal node evaluation parameter have an association relationship, generating an association coefficient based on the deformation uniformity evaluation parameter and the deformation abnormal node evaluation parameter;
s630: and generating the adjustment control parameter based on the association coefficient.
Specifically, the image acquisition equipment is used for acquiring the image of the workpiece to be formed, in the forming process, the internal image of the workpiece cannot be stably acquired, the image acquisition information is external multi-angle image information of the workpiece to be formed, is an image of the outer surface of the workpiece to be formed, and the acquired image information is collated by combining the acquisition angle of the image acquisition equipment to obtain an image acquisition result; and carrying out overall analysis on deformation from a macroscopic angle according to the fitting workpiece and the image acquisition result to obtain deformation abnormal node evaluation parameters, wherein the deformation abnormal node evaluation parameters comprise but are not limited to moment parameters of abnormal torsional deformation nodes, carrying out comprehensive analysis on corresponding parameter indexes of deformation abnormal points, and providing technical theoretical support for optimizing and adjusting control parameters.
Specifically, judging whether the deformation uniformity evaluation parameter and the deformation abnormal node evaluation parameter have an association relation or not through association analysis; when the deformation uniformity evaluation parameter and the deformation abnormal node evaluation parameter have an association relationship, generating an association coefficient based on the deformation uniformity evaluation parameter and the deformation abnormal node evaluation parameter, wherein the association coefficient comprises association degrees corresponding to association analysis; and generating the adjustment control parameters based on the association coefficients, wherein the adjustment control parameters can adjust the forming control parameters of the workpiece to be formed, so that the reliability of the forming control parameters of the workpiece to be formed is ensured.
S700: generating adjustment control parameters according to the deformation uniformity evaluation parameters and the deformation abnormal node evaluation parameters, and performing forming control on the workpiece to be formed through the adjustment control parameters.
Specifically, according to the deformation uniformity evaluation parameter and the deformation abnormal node evaluation parameter, an adjustment control parameter is generated, the adjustment control parameter comprises an adjustment scheme of the control parameter of the intelligent forming control system, the adjustment scheme comprises parameter indexes to be adjusted and adjustment amounts of the parameters, the adjustment amounts of the parameters are related to the association degree corresponding to the association analysis, the forming control of the workpiece to be formed is carried out through the adjustment control parameter, the parameter indexes of the intelligent forming control system are correspondingly optimized, the effectiveness of the parameter indexes is guaranteed, and the accuracy of the parameter indexes in the workpiece forming process is improved.
Further, as shown in fig. 3, the intelligent molding control system is further communicatively connected to a sizing device, and the embodiment of the present application further includes:
s810: after the forming of the workpiece to be formed is completed, carrying out size measurement on the workpiece to be formed by the size measurement equipment to obtain a size measurement result;
s820: performing deformation evaluation on the workpiece to be formed according to the dimension measurement result to generate a deformation evaluation result;
s830: acquiring the image of the workpiece to be molded after molding is completed by the image acquisition equipment to obtain a molded image set;
s840: performing surface defect evaluation on the workpiece to be molded according to the molding image set to generate a surface evaluation result;
s850: generating a forming control feedback parameter according to the deformation evaluation result and the surface evaluation result, and performing forming control on the workpiece based on the forming control feedback parameter.
Specifically, the intelligent forming control system is in communication connection with a dimension measuring device, the dimension measuring device is an automatic dimension measuring device, after the forming of the workpiece to be formed is completed, the dimension measuring device is used for measuring the dimension of the workpiece to be formed, a dimension measuring result is obtained, and generally, the measuring precision is not lower than one tenth of the minimum unit length of the dimension measuring device.
Specifically, performing deformation evaluation of the workpiece to be formed according to the dimension measurement result, wherein the deformation evaluation is obtained by comparing deformation dimension data before and after forming of the workpiece to be formed, and a deformation evaluation result is generated; acquiring an image of the workpiece to be formed after forming is completed by the image acquisition equipment, wherein the image comprises multi-angle multi-direction picture information of the workpiece to be formed after forming is completed, and a formed image set is obtained; performing surface defect evaluation on the workpiece to be molded according to the molding image set, wherein the surface defects comprise surface pits, surface holes or other surface defects, which are obtained by comprehensive evaluation analysis, and generating a surface evaluation result; and generating a forming control feedback parameter according to the deformation evaluation result and the surface evaluation result, and performing forming control on the workpiece based on the forming control feedback parameter, so that the stability of the workpiece forming process is ensured.
Further, the measurement accuracy is not lower than one tenth of the minimum unit length of the dimension measuring device, and an exemplary, common millimeter is a ruler with the minimum unit length, and correspondingly, the measurement accuracy needs to be estimated and read, such as 3.5 millimeters and 6.7 millimeters, and the measurement accuracy is compared and determined with the minimum unit length of the dimension measuring device.
Further, the intelligent molding control system is further in communication connection with an internal defect detection device, and the embodiment of the application further includes:
s860: detecting the internal defects of the workpiece to be molded after the molding is completed by the internal defect detection equipment to obtain a detection result, wherein the detection result comprises a defect position, a defect type and a defect size;
s870: performing association influence evaluation according to the adjustment control parameters and the detection results, and generating an association relation construction result according to the association influence evaluation results, wherein the association relation construction result comprises an association influence value;
s880: optimizing the adjustment control parameters according to the association relation construction result to obtain optimized control parameters;
s890: and performing forming control on the workpiece according to the optimized control parameters.
Specifically, the intelligent molding control system is in communication connection with an internal defect detection device, and the internal defect detection device can detect the inside of the workpiece to be molded after molding is completed and detect whether holes and cracks exist in the inside of the workpiece.
Specifically, detecting the internal defects of the workpiece to be molded after the molding is completed by the internal defect detection equipment to obtain detection results, wherein the detection results comprise defect positions, defect types and defect sizes, and the defect types can comprise but are not limited to holes and cracks; performing associated influence evaluation according to the adjustment control parameters and the detection results, performing associated influence evaluation through associated influence evaluation algorithms including a K-means algorithm, bp back propagation and the like, generating an associated relation construction result according to the associated influence evaluation results, wherein the associated relation construction result comprises associated influence values, and performing optimization of the adjustment control parameters according to the associated relation construction result to obtain optimized control parameters; and forming control of the workpiece is performed according to the optimized control parameters, so that stability of control parameters corresponding to forming of the workpiece is ensured.
In summary, the forming control method and system for the nuclear grade alloy steel elbow provided by the application have the following technical effects:
the method comprises the steps of acquiring basic information of a workpiece to be formed, fitting the workpiece to be formed, obtaining a fitted workpiece, setting forming control precision, dividing grid areas of the fitted workpiece, obtaining grid area division results, generating area fitting control results according to control fitting of preset control parameters based on the fitted workpiece, acquiring thickness parameters of the workpiece to be formed, comparing the acquired thickness parameter acquisition results with the control of the area fitting control results, generating deformation uniformity evaluation parameters, acquiring images of the workpiece to be formed, obtaining image acquisition results, carrying out integral deformation analysis by combining the fitted workpiece, obtaining deformation abnormal node evaluation parameters, generating adjustment control parameters by combining the deformation uniformity evaluation parameters, and controlling forming of the workpiece to be formed. The forming control method and system for the nuclear grade alloy steel elbow provided by the application achieve the technical effects of accurately controlling the forming technological parameters of the nuclear grade alloy steel elbow, improving the toughness of a workpiece of the nuclear grade alloy steel elbow and guaranteeing the fatigue performance of the nuclear grade alloy steel elbow.
The method comprises the steps of obtaining dimension parameter information of a workpiece according to basic information, constructing a forming precision control grade through big data, generating grid quantity constraint parameters through forming control precision, dimension parameter information and forming precision control grade, performing deformation scale analysis, generating grid size constraint parameters according to deformation scale analysis results, performing grid region division of the fitting workpiece by combining the grid quantity constraint parameters to obtain grid region division results, performing distributed adjustment optimization on the grid division of the workpiece by combining the deformation scale analysis, and improving the effectiveness of the grid region division results.
The method comprises the steps of collecting historical workpiece forming results, summarizing defects to obtain a defect set, comparing defect positions and frequencies, obtaining an abnormal position set based on the comparison result, sorting and correcting the abnormal position set to obtain a corrected abnormal position set, carrying out constraint adjustment of grid size constraint parameters according to the corrected abnormal position set to obtain an adjusted grid size constraint parameter, obtaining a grid region division result, carrying out accurate optimization on grid division from an abnormal position correction angle, and further guaranteeing the accuracy of the grid division result.
Example two
Based on the same inventive concept as the forming control method of a nuclear grade alloy steel elbow in the foregoing embodiment, as shown in fig. 4, the present application provides a forming control system of a nuclear grade alloy steel elbow, wherein the system includes:
the data acquisition unit 11 is used for acquiring basic information of a workpiece to be formed, and fitting the workpiece to be formed through forming fitting equipment according to the basic information to obtain a fitted workpiece;
a grid region dividing unit 12, wherein the grid region dividing unit 12 is used for setting forming control precision, and performing grid region division of the fitting workpiece according to the forming control precision to obtain a grid region division result;
the control fitting unit 13 is used for performing control fitting based on the fitting workpiece according to preset control parameters and generating a region fitting control result based on the grid region dividing result, wherein the region fitting control result is provided with a time mark;
the control comparison unit 14 is used for acquiring thickness parameters of the workpiece to be formed through ultrasonic thickness measuring equipment, and performing control comparison of the region fitting control result according to acquisition coordinates on the acquired thickness parameter acquisition result to generate deformation uniformity evaluation parameters;
the image acquisition unit 15 is used for acquiring the image of the workpiece to be formed through image acquisition equipment, so as to obtain an image acquisition result;
the integral deformation analysis unit 16 is used for carrying out integral deformation analysis according to the fitting workpiece and the image acquisition result to obtain deformation abnormal node evaluation parameters;
and a parameter control unit 17, wherein the parameter control unit 17 is configured to generate an adjustment control parameter according to the deformation uniformity evaluation parameter and the deformation abnormal node evaluation parameter, and perform forming control of the workpiece to be formed according to the adjustment control parameter.
Further, the system includes:
the dimension measuring unit is used for measuring the dimension of the workpiece to be formed through the dimension measuring equipment after the workpiece to be formed is formed, so as to obtain a dimension measuring result;
the deformation evaluation unit is used for performing deformation evaluation on the workpiece to be formed according to the dimension measurement result and generating a deformation evaluation result;
the workpiece image acquisition unit is used for acquiring the image of the workpiece to be molded after molding is completed through the image acquisition equipment to obtain a molded image set;
the surface defect evaluation unit is used for evaluating the surface defects of the workpiece to be molded according to the molding image set and generating a surface evaluation result;
and the feedback parameter generation unit is used for generating a forming control feedback parameter according to the deformation evaluation result and the surface evaluation result and carrying out forming control on the workpiece based on the forming control feedback parameter.
Further, the system includes:
the internal defect detection unit is used for detecting the internal defects of the workpiece to be formed after the forming is completed through the internal defect detection equipment to obtain detection results, wherein the detection results comprise defect positions, defect types and defect sizes;
the association influence evaluation unit is used for carrying out association influence evaluation according to the adjustment control parameters and the detection results, generating an association relation construction result according to the association influence evaluation results, and the association relation construction result comprises an association influence value;
the adjustment optimization control parameter unit is used for optimizing the adjustment control parameters according to the association relation construction result to obtain optimization control parameters;
and the workpiece forming control unit is used for controlling the forming of the workpiece according to the optimized control parameters.
Further, the system includes:
the dimension parameter obtaining unit is used for obtaining dimension parameter information of the workpiece to be formed according to the basic information;
the precision grade construction unit is used for constructing a molding precision control grade through big data and generating grid quantity constraint parameters through the molding control precision, the size parameter information and the molding precision control grade;
the deformation scale analysis unit is used for carrying out deformation scale analysis on the workpiece to be formed according to the basic information and generating grid size constraint parameters according to deformation scale analysis results;
the grid region dividing unit is used for dividing the grid region of the fitting workpiece according to the grid quantity constraint parameter and the grid size constraint parameter to obtain the grid region dividing result.
Further, the system includes:
the historical result acquisition unit is used for acquiring historical workpiece forming results and summarizing defects to obtain a defect set;
the defect position comparison unit is used for comparing the defect position frequency according to the defect set and obtaining an abnormal position set based on a comparison result;
the sorting correction unit is used for sorting correction of the abnormal position set according to the actual defect influence value of the defect set to obtain a corrected abnormal position set;
and the constraint adjustment unit is used for carrying out constraint adjustment on the grid size constraint parameters according to the corrected abnormal position set to obtain adjusted grid size constraint parameters, and obtaining the grid region division result through the adjusted grid size constraint parameters.
Further, the system includes:
the influence evaluation generating unit is used for performing influence evaluation of the process parameters according to the defect set and generating an influence evaluation result of the process parameters;
the parameter control optimizing unit is used for carrying out process fitting control optimization according to the influence evaluation result to obtain optimized control parameters;
and the forming control unit is used for controlling the forming of the workpiece to be formed according to the optimized control parameters.
Further, the system includes:
the incidence relation judging unit is used for judging whether the deformation uniformity evaluation parameter and the deformation abnormal node evaluation parameter have incidence relation or not;
the association coefficient generation unit is used for generating association coefficients based on the deformation uniformity evaluation parameter and the deformation abnormal node evaluation parameter when the deformation uniformity evaluation parameter and the deformation abnormal node evaluation parameter have an association relationship;
and the control parameter adjusting unit is used for generating the adjustment control parameter based on the association coefficient.
The specification and drawings are merely exemplary of the present application and various modifications and combinations may be made thereto without departing from the spirit and scope of the application. Such modifications and variations of the present application are intended to be included herein within the scope of the following claims and the equivalents thereof.
Claims (8)
1. The method is characterized by being applied to an intelligent molding control system, wherein the intelligent molding control system is in communication connection with molding fitting equipment, image acquisition equipment and ultrasonic thickness measuring equipment, and the method comprises the following steps:
collecting basic information of a workpiece to be formed, and fitting the workpiece to be formed through the forming fitting equipment according to the basic information to obtain a fitted workpiece;
setting forming control precision, and dividing grid areas of the fitting workpiece through the forming control precision to obtain a grid area division result;
according to preset control parameters, based on control fitting of the fitting workpiece, and based on the grid region dividing result, generating a region fitting control result, wherein the region fitting control result is provided with a time mark;
acquiring thickness parameters of the workpiece to be formed through the ultrasonic thickness measuring equipment, and performing control comparison of the region fitting control result according to acquisition coordinates on the acquired thickness parameter acquisition results to generate deformation uniformity evaluation parameters;
the image acquisition device is used for acquiring the image of the workpiece to be formed, so that an image acquisition result is obtained;
carrying out overall deformation analysis according to the fitting workpiece and the image acquisition result to obtain deformation abnormal node evaluation parameters;
generating adjustment control parameters according to the deformation uniformity evaluation parameters and the deformation abnormal node evaluation parameters, and performing forming control on the workpiece to be formed through the adjustment control parameters.
2. The method of claim 1, wherein the intelligent shaping control system is further communicatively coupled to a sizing device, the method comprising:
after the forming of the workpiece to be formed is completed, carrying out size measurement on the workpiece to be formed by the size measurement equipment to obtain a size measurement result;
performing deformation evaluation on the workpiece to be formed according to the dimension measurement result to generate a deformation evaluation result;
acquiring the image of the workpiece to be molded after molding is completed by the image acquisition equipment to obtain a molded image set;
performing surface defect evaluation on the workpiece to be molded according to the molding image set to generate a surface evaluation result;
generating a forming control feedback parameter according to the deformation evaluation result and the surface evaluation result, and performing forming control on the workpiece based on the forming control feedback parameter.
3. The method of claim 2, wherein the intelligent shaping control system is further communicatively coupled to an internal defect inspection device, the method further comprising:
detecting the internal defects of the workpiece to be molded after the molding is completed by the internal defect detection equipment to obtain a detection result, wherein the detection result comprises a defect position, a defect type and a defect size;
performing association influence evaluation according to the adjustment control parameters and the detection results, and generating an association relation construction result according to the association influence evaluation results, wherein the association relation construction result comprises an association influence value;
optimizing the adjustment control parameters according to the association relation construction result to obtain optimized control parameters;
and performing forming control on the workpiece according to the optimized control parameters.
4. The method of claim 1, wherein the setting of the molding control accuracy by which the mesh region division of the fitting workpiece is performed, results in mesh region division, further comprises:
obtaining the size parameter information of the workpiece to be formed according to the basic information;
constructing a molding precision control grade through big data, and generating grid quantity constraint parameters through the molding control precision, the size parameter information and the molding precision control grade;
performing deformation scale analysis on the workpiece to be formed according to the basic information, and generating grid size constraint parameters according to deformation scale analysis results;
and carrying out grid region division on the fitting workpiece according to the grid quantity constraint parameters and the grid size constraint parameters to obtain a grid region division result.
5. The method of claim 4, wherein the method further comprises:
collecting historical workpiece forming results, and summarizing defects to obtain a defect set;
comparing the defect position frequency according to the defect set, and obtaining an abnormal position set based on a comparison result;
sorting and correcting the abnormal position set according to the actual defect influence value of the defect set to obtain a corrected abnormal position set;
and carrying out constraint adjustment on the grid size constraint parameters according to the corrected abnormal position set to obtain adjusted grid size constraint parameters, and obtaining the grid region division result through the adjusted grid size constraint parameters.
6. The method of claim 5, wherein the method further comprises:
performing influence evaluation of the technological parameters according to the defect set, and generating an influence evaluation result of the technological parameters;
performing process fitting control optimization according to the influence evaluation result to obtain optimized control parameters;
and performing forming control on the workpiece to be formed according to the optimized control parameters.
7. The method of claim 1, wherein the method further comprises:
judging whether the deformation uniformity evaluation parameter and the deformation abnormal node evaluation parameter have an association relation or not;
when the deformation uniformity evaluation parameter and the deformation abnormal node evaluation parameter have an association relationship, generating an association coefficient based on the deformation uniformity evaluation parameter and the deformation abnormal node evaluation parameter;
and generating the adjustment control parameter based on the association coefficient.
8. A forming control system for a nuclear grade alloy steel elbow, the system comprising:
the data acquisition unit is used for acquiring basic information of a workpiece to be formed, and fitting the workpiece to be formed through forming fitting equipment according to the basic information to obtain a fitting workpiece;
the grid region dividing unit is used for setting forming control precision, and dividing the grid region of the fitting workpiece through the forming control precision to obtain a grid region dividing result;
the control fitting unit is used for performing control fitting based on the fitting workpiece according to preset control parameters and generating a region fitting control result based on the grid region dividing result, wherein the region fitting control result is provided with a time mark;
the control comparison unit is used for acquiring thickness parameters of the workpiece to be formed through ultrasonic thickness measuring equipment, and performing control comparison of the region fitting control result according to acquisition coordinates on the acquired thickness parameter acquisition result to generate deformation uniformity evaluation parameters;
the image acquisition unit is used for acquiring the image of the workpiece to be formed through image acquisition equipment to obtain an image acquisition result;
the integral deformation analysis unit is used for carrying out integral deformation analysis according to the fitting workpiece and the image acquisition result to obtain deformation abnormal node evaluation parameters;
and the parameter control unit is used for generating adjustment control parameters according to the deformation uniformity evaluation parameters and the deformation abnormal node evaluation parameters, and carrying out forming control on the workpiece to be formed through the adjustment control parameters.
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106140901A (en) * | 2015-03-31 | 2016-11-23 | 株式会社日立制作所 | Sheet metal bending forming control method |
CN111014415A (en) * | 2019-11-25 | 2020-04-17 | 珠海格力精密模具有限公司 | Method for manufacturing draw bead based on CAE technology |
JP6774583B1 (en) * | 2020-03-26 | 2020-10-28 | 株式会社Jsol | High-precision molding analysis mesh creation system, high-precision molding analysis mesh creation method, and high-precision molding analysis mesh creation program |
CN112883599A (en) * | 2021-01-12 | 2021-06-01 | 中铝材料应用研究院有限公司 | Method for evaluating stamping forming performance of magnesium alloy plate for preparing box-shaped component |
CN113779851A (en) * | 2021-09-29 | 2021-12-10 | 南京钢铁股份有限公司 | Method and system for simulating rolling bubble defects of cold-rolled strip steel based on ABQUES |
CN114563992A (en) * | 2022-03-01 | 2022-05-31 | 昆山缔微致精密电子有限公司 | Method and system for improving blanking precision of injection mold |
-
2022
- 2022-06-22 CN CN202210714500.6A patent/CN115255074B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106140901A (en) * | 2015-03-31 | 2016-11-23 | 株式会社日立制作所 | Sheet metal bending forming control method |
CN111014415A (en) * | 2019-11-25 | 2020-04-17 | 珠海格力精密模具有限公司 | Method for manufacturing draw bead based on CAE technology |
JP6774583B1 (en) * | 2020-03-26 | 2020-10-28 | 株式会社Jsol | High-precision molding analysis mesh creation system, high-precision molding analysis mesh creation method, and high-precision molding analysis mesh creation program |
CN112883599A (en) * | 2021-01-12 | 2021-06-01 | 中铝材料应用研究院有限公司 | Method for evaluating stamping forming performance of magnesium alloy plate for preparing box-shaped component |
CN113779851A (en) * | 2021-09-29 | 2021-12-10 | 南京钢铁股份有限公司 | Method and system for simulating rolling bubble defects of cold-rolled strip steel based on ABQUES |
CN114563992A (en) * | 2022-03-01 | 2022-05-31 | 昆山缔微致精密电子有限公司 | Method and system for improving blanking precision of injection mold |
Non-Patent Citations (3)
Title |
---|
GH4169弯头热推扩成形有限元模拟及验证;洪宇;材料研究与应用;第12卷(第02期);第106-110页 * |
基于ANSYS-LSDYNA有限元模拟的铝合金管件弯曲成形;袁正等;CAD/CAM与制造业信息化(第04期);第53-54页 * |
铜合金弯头冷推成形影响因素分析及工艺参数优化;周铁柱等;材料开发与应用(第02期);第38-46页 * |
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Application publication date: 20221101 Assignee: Jiangsu Yuanyang Pipe Industry Co.,Ltd. Assignor: YANGZHOU PIPE FITTING FACTORY Co.,Ltd. Contract record no.: X2024980009864 Denomination of invention: A forming control method and system for nuclear grade alloy steel elbow Granted publication date: 20230523 License type: Common License Record date: 20240717 |