CN115255074A - Molding control method and system for nuclear-grade alloy steel elbow - Google Patents
Molding control method and system for nuclear-grade alloy steel elbow Download PDFInfo
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Abstract
The invention provides a molding control method and a molding 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: acquiring basic information, and fitting a workpiece to obtain a fitted workpiece; setting forming control precision, and dividing grid areas to obtain a grid area division result; generating a region fitting control result; collecting thickness parameters, and comparing the collected results with 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 and controlling the forming of the workpiece to be formed. The method solves the technical problem that the toughness and the fatigue performance of the nuclear-grade alloy steel elbow workpiece cannot meet the corresponding requirements of the working environment due to low precision of the forming process parameters of the nuclear-grade alloy steel elbow, achieves the accurate control of the forming process parameters of the nuclear-grade alloy steel elbow, improves the toughness of the nuclear-grade alloy steel elbow workpiece, and ensures the technical effect of the fatigue performance of the nuclear-grade alloy steel elbow.
Description
Technical Field
The invention relates to the technical field of digital processing, in particular to a method and a system for controlling the forming of a nuclear-grade alloy steel elbow.
Background
The nuclear-grade alloy steel elbow is an important connecting part of a nuclear power pipeline, the nuclear-grade alloy steel elbow part bears the effects of high-temperature, quite high pressure and high-flow-rate high-purity water corrosion and high-frequency fatigue in a service period, the working environment is quite severe, the forming process parameters of the nuclear-grade alloy steel elbow are accurately controlled, and the fatigue performance of the nuclear-grade alloy steel elbow can be effectively guaranteed to meet the requirements of the working environment of the nuclear-grade alloy steel elbow.
The technical problem that the toughness and the fatigue performance of a nuclear-grade alloy steel elbow workpiece cannot meet the corresponding requirements of the working environment of the nuclear-grade alloy steel elbow workpiece due to the fact that the precision of forming technological parameters of the nuclear-grade alloy steel elbow is low exists in the prior art.
Disclosure of Invention
The application provides a forming control method and a forming control system for a nuclear-grade alloy steel elbow, solves the technical problem that the forming technological parameter of the nuclear-grade alloy steel elbow is low in precision, so that the toughness and the fatigue performance of a nuclear-grade alloy steel elbow workpiece cannot meet the corresponding requirements of the working environment of the nuclear-grade alloy steel elbow workpiece, achieves the accurate control of the forming technological parameter of the nuclear-grade alloy steel elbow, improves the toughness of the nuclear-grade alloy steel elbow workpiece, and guarantees the technical effect of the fatigue performance 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 forming of a nuclear-grade alloy steel elbow.
In a first aspect, the application provides a method for controlling forming 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 comprises the following steps: acquiring 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 fitting workpiece; setting forming control precision, and dividing the grid region of the fitting workpiece according to the forming control precision to obtain a grid region division result; according to preset control parameters, based on control fitting of the fitting workpiece, and based on grid region division results, generating region fitting control results, wherein the region fitting control results are provided with time marks; acquiring the thickness parameters of the workpiece to be formed through the ultrasonic thickness measuring equipment, and performing control comparison on the region fitting control result according to the acquired thickness parameter acquisition result and the acquisition coordinate to generate a deformation uniformity evaluation parameter; acquiring an image of the workpiece to be formed through the image acquisition equipment to obtain an image acquisition result; performing integral deformation analysis according to the fitting workpiece and the image acquisition result to obtain deformation abnormal node evaluation parameters; and generating an adjustment control parameter according to the deformation uniformity evaluation parameter and the deformation abnormal node evaluation parameter, and performing forming control on the workpiece to be formed through the adjustment control parameter.
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 area dividing unit is used for setting forming control precision, and dividing the grid area of the fitting workpiece according to the forming control precision to obtain a grid area dividing result; the control fitting unit is used for controlling fitting based on the fitting workpiece according to preset control parameters and generating a region fitting control result based on the grid region division result, wherein the region fitting control result is provided with a time identifier; the control comparison unit is used for acquiring the thickness parameters of the workpiece to be formed through ultrasonic thickness measuring equipment, and performing control comparison on the region fitting control result according to the acquired coordinate on the acquired thickness parameter acquisition result to generate a deformation uniformity evaluation parameter; the image acquisition unit is used for acquiring an 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 an adjustment control parameter according to the deformation uniformity evaluation parameter and the deformation abnormal node evaluation parameter, and performing forming control on the workpiece to be formed through the adjustment control parameter.
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 to obtain a fitting workpiece, setting forming control precision, dividing grid areas of the fitting workpiece to obtain grid area division results, generating area fitting control results according to preset control parameters based on control fitting of the fitting 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 to generate deformation uniformity evaluation parameters, acquiring the workpiece to be formed by images to obtain image acquisition results, performing overall deformation analysis by combining the fitting workpiece to obtain 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 ensuring the fatigue performance of the nuclear-grade alloy steel elbow.
Drawings
FIG. 1 is a schematic flow chart of a method for controlling the formation of a nuclear-grade alloy steel elbow according to the present application;
FIG. 2 is a schematic flow chart of a grid area division result obtained by the molding control method for the nuclear-grade alloy steel elbow according to the present application;
FIG. 3 is a schematic flow chart of the forming control of the workpiece based on the forming control feedback parameters according to the forming control method for the nuclear-grade alloy steel elbow of the present application;
FIG. 4 is a schematic structural diagram of a forming control system for a nuclear-grade alloy steel elbow according to the present application.
Description of the reference numerals: the system comprises a data acquisition unit 11, a grid area 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 application provides a forming control method and a forming control system for a nuclear-grade alloy steel elbow, solves the technical problem that the forming technological parameter of the nuclear-grade alloy steel elbow is low in precision, so that the toughness and the fatigue performance of a nuclear-grade alloy steel elbow workpiece cannot meet the corresponding requirements of the working environment of the nuclear-grade alloy steel elbow workpiece, achieves the accurate control of the forming technological parameter of the nuclear-grade alloy steel elbow, improves the toughness of the nuclear-grade alloy steel elbow workpiece, and guarantees the technical effect of the fatigue performance of the nuclear-grade alloy steel elbow.
Example one
As shown in fig. 1, the present application provides a method for controlling forming 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 comprises:
s100: acquiring 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 fitting workpiece;
s200: setting forming control precision, and carrying out grid area division on the fitting workpiece according to 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 the transmission and the reception of ultrasonic waves, specifically, the time difference between the transmission and the reception of the ultrasonic waves determines the thickness of the workpiece through the propagation time and the propagation speed of the sound waves on the workpiece, the communication connection simply means the transmission interaction of signals, and 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 technical support is provided for subsequent data processing.
Specifically, basic information of a workpiece to be formed is collected, wherein the basic information includes but is not limited to material information, hardness information, size information and shape information of the workpiece, and the workpiece to be formed is fitted through forming fitting equipment according to the basic information to obtain a fitting workpiece; setting forming control precision, generally, dividing grids as many as possible while ensuring simulation operation efficiency, particularly dividing a part which does not participate in plastic deformation and only has temperature change as few as possible on the premise of not influencing the forming quality of a workpiece, and dividing the grid area of the fitting workpiece by the forming control precision to obtain a grid area division result so as to provide technical theoretical support for subsequent data analysis and processing.
Further, as shown in fig. 2, the step S320 includes:
s210: obtaining the size parameter information of the workpiece to be molded according to the basic information;
s220: constructing a molding precision control grade through big data, and generating a grid quantity constraint parameter 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 the deformation scale analysis result;
s240: and carrying out grid area division on the fitting workpiece according to the grid quantity constraint parameter and the grid size constraint parameter to obtain a grid area 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 positive integers; carrying out deformation scale analysis on the workpiece to be formed according to the basic information, and generating grid size constraint parameters according to the deformation scale analysis result; and carrying out grid area division on the fitting workpiece according to the grid quantity constraint parameters and the grid size constraint parameters, and carrying out distributed adjustment optimization on the grid division of the workpiece by combining deformation scale analysis to obtain a grid area division result, so that the effectiveness of the grid area division result is improved.
Further specifically, deformation scale analysis of the workpiece to be formed is performed according to the basic information, deformation scale evaluation is performed on generated plastic deformation, the number of grids corresponding to positions with large plastic deformation is large, the number of grids corresponding to positions with small plastic deformation is small, and technical support is provided for guaranteeing the processing efficiency of data information.
Further, the embodiment of the present 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: performing sequencing correction on 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 constraint parameters for adjusting the grid size, and obtaining the grid area division result through the constraint parameters for adjusting the grid size.
Specifically, a data information storage unit based on an intelligent forming control system collects historical workpiece forming results and summarizes defects to obtain a defect set; comparing the defect position frequency according to the defect set, and extracting data of the defect position with high defect position frequency according to a comparison result to obtain an abnormal position set; performing sorting correction on the abnormal position set according to the actual defect influence values of the defect set, wherein the sorting can be used for sorting the data values passing through the actual defect influence values from large to small to obtain a corrected abnormal position set; and carrying out constraint adjustment on the grid size constraint parameters according to the abnormal position correction set, moderately reducing the grid of the abnormal position needing to be corrected, moderately increasing the grid of the position needing not to be corrected, improving the grid division accuracy, obtaining the constraint parameters for adjusting the grid size, obtaining the grid area division result by adjusting the grid size constraint parameters, and carrying out accurate optimization on the grid division from the abnormal position correction angle, thereby further ensuring the grid division accuracy.
Further, the embodiment of the present application further includes:
s281: carrying out influence evaluation on the process parameters according to the defect set to generate an influence evaluation result of the process parameters;
s282: performing process fitting control optimization according to the influence evaluation result to obtain an optimization control parameter;
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, the influence evaluation of the process parameters is performed according to the defect set, the influence evaluation of the process parameters can be performed by a TOPSIS method (Technique for Order Preference by Similarity to ideal distance solution), and an influence evaluation result of the process parameters is generated, an algorithm corresponding to the influence evaluation of the process parameters is not unique, the description for ensuring that the scheme can be implemented is a calculated preferred algorithm, and the algorithm corresponding to the influence evaluation of the process parameters is not limited; performing process fitting control optimization according to the influence evaluation result to obtain an optimization control parameter; and the forming control of the workpiece to be formed is carried out according to the optimized control parameters, so that the 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 grid region division results, generating region fitting control results, wherein the region fitting control results are provided with time marks;
s400: acquiring the thickness parameters of the workpiece to be formed through the ultrasonic thickness measuring equipment, and performing control comparison on the region fitting control result according to the acquired thickness parameter acquisition result and the acquisition coordinate to generate a deformation uniformity evaluation parameter;
specifically, a region fitting control result is generated according to preset control parameters, the control fitting of the fitting workpiece and the grid region division result, the region fitting control result is provided with a time identifier, and the time identifier is consistent with the time identifier of the control fitting of the fitting workpiece; the uniformity of deformation can embody directly perceivedly in the aspect of the final wall thickness uniformity of treating the shaping work piece, through ultrasonic thickness measuring equipment carries out treat the thickness parameter acquisition of shaping work piece to carry out the thickness parameter acquisition result that obtains according to gathering the coordinate regional fit control result's control is compared, generates deformation uniformity evaluation parameter, deformation uniformity evaluation parameter is the deformation evaluation parameter that generates from regional angle, and the thickness parameter of treating the shaping work piece that different regions correspond may be inconsistent, for guaranteeing data information's precision, carries out the subregion, generates deformation uniformity evaluation parameter, effectively improves data information's accuracy, provides stable effectual data basis for follow-up data processing.
S500: acquiring an image of the workpiece to be formed through the image acquisition equipment to obtain an image acquisition result;
s600: performing integral deformation analysis according to the fitting workpiece and the image acquisition result to obtain deformation abnormal node evaluation parameters;
further, the adjusting control parameter is optimized according to the association relationship building result, and step S600 further includes:
s610: judging whether the deformation uniformity evaluation parameter and the deformation abnormal node evaluation parameter have an incidence relation or not;
s620: when the deformation uniformity evaluation parameter and the deformation abnormal node evaluation parameter have a correlation relationship, generating a correlation coefficient based on the deformation uniformity evaluation parameter and the deformation abnormal node evaluation parameter;
s630: generating the adjustment control parameter based on the correlation coefficient.
Specifically, the image acquisition equipment acquires an image of the workpiece to be formed, an internal image of the workpiece cannot be stably acquired in the forming process, image acquisition information is external multi-angle image information of the workpiece to be formed and is an image of the outer surface of the workpiece to be formed, and the acquired image information is arranged by combining the acquisition angle of the image acquisition equipment to obtain an image acquisition result; and performing integral analysis on deformation from a macroscopic view according to the fitting workpiece and the image acquisition result to obtain deformation abnormal node evaluation parameters, wherein the deformation abnormal node evaluation parameters include but are not limited to moment parameters of abnormal torsional deformation nodes, performing comprehensive analysis on corresponding parameter indexes of the deformation abnormal nodes, and providing technical theoretical support for optimizing and adjusting control parameters.
Specifically, whether the deformation uniformity evaluation parameter and the deformation abnormal node evaluation parameter have an association relationship is judged through association analysis; when the deformation uniformity evaluation parameter and the deformation abnormal node evaluation parameter have an incidence relation, generating an incidence coefficient based on the deformation uniformity evaluation parameter and the deformation abnormal node evaluation parameter, wherein the incidence coefficient comprises an incidence degree corresponding to incidence analysis; and generating the adjusting control parameter based on the correlation coefficient, wherein the adjusting control parameter can adjust the forming control parameter of the workpiece to be formed, so that the reliability of the forming control parameter of the workpiece to be formed is ensured.
S700: and generating an adjustment control parameter according to the deformation uniformity evaluation parameter and the deformation abnormal node evaluation parameter, and performing forming control on the workpiece to be formed through the adjustment control parameter.
Specifically, adjustment control parameters are generated according to the deformation uniformity evaluation parameters and the deformation abnormal node evaluation parameters, the adjustment control parameters comprise an adjustment scheme of control parameters of the intelligent forming control system, the adjustment scheme comprises parameter indexes needing to be adjusted and adjustment quantities of the parameters, the adjustment quantities of the parameters are related to the correlation degree corresponding to the correlation analysis, forming control of the workpiece to be formed is carried out through the adjustment control parameters, corresponding optimization is carried out on the parameter indexes of the intelligent forming control system, 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 forming control system is further connected to a dimension measuring device in a communication manner, and the embodiment of the present application further includes:
s810: after the workpiece to be formed is formed, carrying out size measurement on the workpiece to be formed through 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 an image of the workpiece to be molded after molding is completed through the image acquisition equipment to obtain a molded image set;
s840: evaluating the surface defects of the workpiece to be molded according to the molding image set to generate a surface evaluation result;
s850: and generating a forming control feedback parameter according to the deformation evaluation result and the surface evaluation result, and controlling the forming of the workpiece based on the forming control feedback parameter.
Specifically, the intelligent forming control system is in communication connection with a size measuring device, the size measuring device is an automatic size measuring device, after the workpiece to be formed is formed, size measurement is carried out on the workpiece to be formed through the size measuring device, a size measuring result is obtained, and generally, the measuring precision is not lower than one tenth of the minimum unit length of the size measuring device.
Specifically, deformation evaluation of the workpiece to be formed is carried out according to the dimension measurement result, and the deformation evaluation is obtained by comparing deformation dimension data of the workpiece to be formed before and after forming to generate a deformation evaluation result; acquiring an image of the workpiece to be molded after molding is completed through the image acquisition equipment, wherein the image comprises multi-angle and multi-direction picture information of the workpiece to be molded after molding is completed, and a molded image set is obtained; evaluating the surface defects of the workpiece to be molded according to the molding image set, wherein the surface defects comprise surface depressions, surface holes or other surface defects, and are obtained by comprehensive evaluation analysis to generate a surface evaluation result; and forming control feedback parameters are generated according to the deformation evaluation result and the surface evaluation result, and the forming of the workpiece is controlled based on the forming control feedback parameters, so that the stability of the workpiece forming process is ensured.
To be more specific, the measurement accuracy is not lower than one tenth of the minimum unit length of the sizing device, for example, a common ruler with millimeter as the minimum unit, and correspondingly, the measurement accuracy needs to be estimated, such as 3.5 millimeters and 6.7 millimeters, and the measurement accuracy is determined by comparing with the minimum unit length of the sizing device.
Further, intelligence shaping control system still with interior defect detecting equipment communication connection, this application embodiment still includes:
s860: detecting the internal defects of the workpiece to be formed after the forming is finished through 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 result, and generating an association relationship construction result according to the association influence evaluation result, wherein the association relationship construction result comprises an association influence value;
s880: optimizing the adjustment control parameters according to the incidence relation construction result to obtain optimized control parameters;
s890: and performing forming control on the workpiece according to the optimized control parameters.
Particularly, intelligence shaping control system and interior defect detecting equipment communication connection, interior defect detecting equipment can be to after the shaping is accomplished treat that the inside of shaping work piece detects, detects whether there are hole, crack inside the work piece.
Specifically, the internal defect detection of the workpiece to be formed after the forming is completed is performed 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, and the defect type can include but is not limited to a hole and a crack; performing association impact evaluation according to the adjustment control parameters and the detection result, performing association impact evaluation through related association impact evaluation algorithms including a K-means algorithm, bp back propagation and the like, generating an association relationship construction result according to the association impact evaluation result, wherein the association relationship construction result comprises an association impact value, and performing optimization of the adjustment control parameters according to the association relationship construction result to obtain optimized control parameters; and the forming control of the workpiece is carried out according to the optimized control parameters, so that the stability of the control parameters corresponding to the forming of the workpiece is ensured.
In summary, the method and the system for controlling the forming of 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 to obtain a fitting workpiece, setting forming control precision, carrying out grid area division on the fitting workpiece to obtain grid area division results, generating area fitting control results based on control fitting of the fitting workpiece according to preset control parameters, carrying out thickness parameter acquisition on the workpiece to be formed, comparing the obtained thickness parameter acquisition results with the control results of the area fitting to generate deformation uniformity evaluation parameters, carrying out image acquisition on the workpiece to be formed to obtain image acquisition results, carrying out overall deformation analysis on the fitting workpiece to obtain deformation abnormal node evaluation parameters, generating adjustment control parameters in combination with the deformation uniformity evaluation parameters, and controlling forming of the workpiece to be formed. The application provides the forming control method and the forming control system for the nuclear-grade alloy steel elbow, so that the technical effects of accurately controlling the forming technological parameters of the nuclear-grade alloy steel elbow, improving the toughness of a nuclear-grade alloy steel elbow workpiece and ensuring the fatigue performance of the nuclear-grade alloy steel elbow are achieved.
The method comprises the steps of obtaining size 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, the size parameter information and the forming precision control grade, carrying out deformation scale analysis, generating grid size constraint parameters according to deformation scale analysis results, carrying out grid area division of a fitting workpiece by combining the grid quantity constraint parameters to obtain grid area division results, carrying out distributed adjustment optimization on the grid division of the workpiece by combining the deformation scale analysis, and improving the effectiveness of the grid area division results.
The method comprises the steps of acquiring historical workpiece forming results, summarizing defects to obtain a defect set, comparing defect position frequencies, obtaining an abnormal position set based on a comparison result, carrying out sequencing correction on the abnormal position set on actual defect influence values to obtain a corrected abnormal position set, carrying out constraint adjustment on grid size constraint parameters according to the corrected abnormal position set to obtain adjusted grid size constraint parameters, obtaining a grid area division result, carrying out accurate optimization on grid division from an abnormal position correction angle, and further ensuring the accuracy of the grid division result.
Example two
Based on the same inventive concept as the forming control method of the nuclear-grade alloy steel elbow in the previous embodiment, as shown in fig. 4, the application provides a forming control system of the nuclear-grade alloy steel elbow, wherein the system comprises:
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 area dividing unit 12, wherein the grid area dividing unit 12 is used for setting a forming control precision, and dividing the grid area of the fitting workpiece according to the forming control precision to obtain a grid area dividing result;
the control fitting unit 13 is used for controlling fitting based on the fitting workpiece according to preset control parameters and generating a region fitting control result based on the grid region division result, wherein the region fitting control result is provided with a time identifier;
the control comparison unit 14 is used for acquiring the thickness parameters of the workpiece to be formed through ultrasonic thickness measuring equipment, performing control comparison on the region fitting control result according to the acquired coordinate on the acquired thickness parameter acquisition result, and generating deformation uniformity evaluation parameters;
the image acquisition unit 15 is used for acquiring an image of the workpiece to be formed through image acquisition equipment 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 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 on the workpiece to be formed according to the adjustment control parameter.
Further, the system comprises:
the size measuring unit is used for measuring the size of the workpiece to be formed through the size measuring equipment after the workpiece to be formed is formed, so that a size measuring result is obtained;
the deformation evaluation unit is used for carrying out deformation evaluation on the workpiece to be formed according to the size measurement result to generate a deformation evaluation result;
the workpiece image acquisition unit is used for acquiring an image of the workpiece to be molded after the molding is finished 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 formed according to the forming image set to generate a surface evaluation result;
and the feedback parameter generating 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 comprises:
the internal defect detection unit is used for detecting the internal defects of the workpiece to be formed after the forming is finished through 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;
the association influence evaluation unit is used for carrying out association influence evaluation according to the adjustment control parameters and the detection result, generating an association relationship construction result according to the association influence evaluation result, and the association relationship construction result comprises an association influence value;
the adjusting and optimizing control parameter unit is used for optimizing the adjusting and controlling parameters according to the incidence relation construction result to obtain optimized 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 comprises:
the size parameter obtaining unit is used for obtaining size parameter information of the workpiece to be formed according to the basic information;
the precision grade construction unit is used for constructing a forming precision control grade through big data, and generating grid quantity constraint parameters through the forming control precision, the size parameter information and the forming 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 the deformation scale analysis result;
and the grid area dividing unit is used for dividing the grid area of the fitting workpiece according to the grid quantity constraint parameter and the grid size constraint parameter to obtain the grid area dividing result.
Further, the system comprises:
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 carrying out defect position frequency comparison according to the defect set and obtaining an abnormal position set based on a comparison result;
the sequencing correction unit is used for carrying out sequencing correction on 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 adjusting unit is used for carrying out constraint adjustment on the grid size constraint parameters according to the abnormal position correction set to obtain constraint parameters for adjusting the grid size, and obtaining the grid area division result through the constraint parameters for adjusting the grid size.
Further, the system comprises:
the influence evaluation generating unit is used for carrying out influence evaluation on the process parameters according to the defect set and generating an influence evaluation result of the process parameters;
the parameter control optimization unit is used for carrying out process fitting control optimization according to the influence evaluation result to obtain an optimized control parameter;
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 comprises:
an incidence relation judging unit, configured to judge whether the deformation uniformity evaluation parameter and the deformation abnormal node evaluation parameter have an incidence relation;
a correlation coefficient generation unit configured to generate a correlation coefficient 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 a correlation relationship;
a control parameter adjustment unit for generating the adjustment control parameter based on the correlation coefficient.
The specification and drawings are merely exemplary of the application and various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Such modifications and variations of the present application are within the scope of the claims of the present application and their equivalents, and the present application is intended to include such modifications and variations.
Claims (8)
1. A molding control method of a nuclear-grade alloy steel elbow is characterized in that the method is applied to an intelligent molding control system, 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:
acquiring 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 fitting workpiece;
setting forming control precision, and carrying out grid area division on the fitting workpiece according to the forming control precision to obtain a grid area division result;
according to preset control parameters, based on the control fitting of the fitting workpiece, and based on the grid region division result, generating a region fitting control result, wherein the region fitting control result is provided with a time identifier;
acquiring the thickness parameters of the workpiece to be formed through the ultrasonic thickness measuring equipment, and performing control comparison on the region fitting control result according to the acquired thickness parameter acquisition result and the acquisition coordinate to generate a deformation uniformity evaluation parameter;
acquiring an image of the workpiece to be formed through the image acquisition equipment to obtain an image acquisition result;
performing integral deformation analysis according to the fitting workpiece and the image acquisition result to obtain deformation abnormal node evaluation parameters;
and generating an adjustment control parameter according to the deformation uniformity evaluation parameter and the deformation abnormal node evaluation parameter, and performing forming control on the workpiece to be formed through the adjustment control parameter.
2. The method of claim 1, wherein the intelligent molding control system is further communicatively coupled to a sizing device, the method comprising:
after the workpiece to be formed is formed, carrying out size measurement on the workpiece to be formed through 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 an image of the workpiece to be molded after molding is completed through the image acquisition equipment to obtain a molded image set;
evaluating the surface defects of the workpiece to be molded according to the molding image set to generate a surface evaluation result;
and generating a forming control feedback parameter according to the deformation evaluation result and the surface evaluation result, and controlling the forming of the workpiece based on the forming control feedback parameter.
3. The method of claim 2, wherein the intelligent formation control system is further communicatively coupled to an internal defect detection device, the method further comprising:
detecting the internal defects of the workpiece to be formed after the forming is finished through 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 result, and generating an association relationship construction result according to the association influence evaluation result, wherein the association relationship construction result comprises an association influence value;
optimizing the adjustment control parameters according to the incidence 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 forming control accuracy by which the gridding region of the fitting workpiece is divided to obtain a gridding region division result, 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 a grid quantity constraint parameter 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 the deformation scale analysis result;
and carrying out grid area division on the fitting workpiece according to the grid quantity constraint parameter and the grid size constraint parameter to obtain a grid area 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;
performing sequencing correction on 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 constraint parameters for adjusting the grid size, and obtaining the grid area division result through the constraint parameters for adjusting the grid size.
6. The method of claim 5, wherein the method further comprises:
carrying out influence evaluation on the process parameters according to the defect set to generate an influence evaluation result of the process parameters;
performing process fitting control optimization according to the influence evaluation result to obtain an optimization control parameter;
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 parameters and the deformation abnormal node evaluation parameters have an incidence relation or not;
when the deformation uniformity evaluation parameter and the deformation abnormal node evaluation parameter have a correlation relationship, generating a correlation coefficient based on the deformation uniformity evaluation parameter and the deformation abnormal node evaluation parameter;
generating the adjustment control parameter based on the correlation coefficient.
8. A nuclear grade alloy steel elbow form control system, 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 area dividing unit is used for setting forming control precision, and dividing the grid area of the fitting workpiece according to the forming control precision to obtain a grid area dividing result;
the control fitting unit is used for controlling fitting based on the fitting workpiece according to preset control parameters and generating a region fitting control result based on the grid region division result, wherein the region fitting control result is provided with a time identifier;
the control comparison unit is used for acquiring the thickness parameters of the workpiece to be formed through ultrasonic thickness measuring equipment, and performing control comparison on the region fitting control result according to the acquired thickness parameter acquisition result and the acquisition coordinate to generate a deformation uniformity evaluation parameter;
the image acquisition unit is used for acquiring an 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 an adjustment control parameter according to the deformation uniformity evaluation parameter and the deformation abnormal node evaluation parameter, and performing forming control on the workpiece to be formed through the adjustment control parameter.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116257022A (en) * | 2022-12-01 | 2023-06-13 | 南京贝迪新材料科技股份有限公司 | Intelligent control method and system for color gamut performance in quantum dot diffusion plate production process |
| CN116382209A (en) * | 2023-04-19 | 2023-07-04 | 扬州市管件厂有限公司 | Process optimization method and system for seamless elbow machining |
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 |
|---|
| 周铁柱等: "铜合金弯头冷推成形影响因素分析及工艺参数优化", 材料开发与应用 * |
| 洪宇: "GH4169弯头热推扩成形有限元模拟及验证", 材料研究与应用 * |
| 袁正等: "基于ANSYS-LSDYNA有限元模拟的铝合金管件弯曲成形", CAD/CAM与制造业信息化 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116257022A (en) * | 2022-12-01 | 2023-06-13 | 南京贝迪新材料科技股份有限公司 | Intelligent control method and system for color gamut performance in quantum dot diffusion plate production process |
| CN116257022B (en) * | 2022-12-01 | 2024-05-10 | 南京贝迪新材料科技股份有限公司 | Intelligent control method and system for color gamut performance in quantum dot diffusion plate production process |
| CN116382209A (en) * | 2023-04-19 | 2023-07-04 | 扬州市管件厂有限公司 | Process optimization method and system for seamless elbow machining |
| CN116382209B (en) * | 2023-04-19 | 2023-10-03 | 扬州市管件厂有限公司 | Process optimization method and system for seamless elbow machining |
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