Workpiece clamping force equalization control method and device

Abstract

The application discloses a workpiece clamping force balance regulation method and device, and relates to the technical field of machine tool control. The method comprises the following steps: connecting a control terminal of a shaping machining machine tool, outputting machine tool cutter control parameters and a machining reference surface; uniformly constraining the clamping force of a machine tool clamping component, outputting multiple groups of candidate clamping parameters; optimizing the multiple groups of candidate clamping parameters, generating multiple groups of optimized candidate clamping parameters; determining a preset vibration characteristic threshold of a workpiece to be shaped; simulating the vibration of the workpiece during machining, taking the preset vibration characteristic threshold as a constraint, screening the multiple groups of optimized candidate clamping parameters, generating optimal clamping parameters, and controlling the machine tool clamping component. The technical problem that the machining precision is reduced due to unstable clamping during the shaping machining process of the prior art is solved, the clamping component is accurately controlled, and the technical effect of improving the machining precision is achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of machine tool control, in particular to a workpiece clamping force balancing regulation method and device. BACKGROUND

[0002] In the rapid development of modern manufacturing industry, workpiece shaping processing technology plays a vital role. With the intensification of market competition and the continuous improvement of consumers' quality requirements for products, the precision and efficiency of workpiece shaping processing have become the focus of manufacturing enterprises. However, in the actual processing process, the stability of workpiece clamping has become one of the key factors restricting the processing precision and workpiece quality. The traditional workpiece clamping method often depends on the experience and skill of the operator, and it is difficult to realize accurate control of clamping force and accurate adjustment of clamping position. This not only leads to vibration and deformation of workpiece in the processing process, affecting the processing precision, but also may cause workpiece damage due to improper clamping, increasing the production cost and scrap rate. SUMMARY

[0003] The present application provides a workpiece clamping force balancing regulation method and device, which solves the technical problem of reduced processing precision caused by unstable clamping in the workpiece shaping processing process in the prior art.

[0004] In a first aspect, the present application provides a workpiece clamping force balancing regulation method, which comprises:

[0005] connecting a control terminal of a shaping processing machine tool, analyzing the workpiece original geometric characteristics and processing area characteristics of a workpiece to be shaped, outputting machine tool tool control parameters and processing reference surface; determining a clamping reference surface based on the processing reference surface, and combining the machine tool tool control parameters to uniformly constrain the clamping part of the machine tool, outputting multiple groups of candidate clamping parameters, each group of candidate clamping parameters including the clamping force of multiple clamping points; collecting the workpiece material characteristics of the workpiece to be shaped, predicting and optimizing the multiple groups of candidate clamping parameters to generate multiple groups of optimized candidate clamping parameters; determining a preset vibration characteristic threshold of the workpiece to be shaped; simulating the workpiece vibration during processing based on the multiple groups of optimized candidate clamping parameters and the machine tool tool control parameters, and filtering the multiple groups of optimized candidate clamping parameters with the preset vibration characteristic threshold as a constraint to generate optimal clamping parameters, and controlling the clamping part of the machine tool.

[0006] In a second aspect, the present application provides a workpiece clamping force balancing regulation device, which comprises:

[0007] The feature analysis module is used for connecting a control terminal of a shaping machining machine tool, analyzing workpiece original geometric features and machining area features of a workpiece to be shaped, outputting machine tool cutter control parameters and a machining reference surface; the clamping force constraint module is used for determining a clamping reference surface based on the machining reference surface, and uniformly constraining a clamping component of the machine tool in clamping force in combination with the machine tool cutter control parameters, outputting multiple groups of candidate clamping parameters, each group of candidate clamping parameters including clamping forces of multiple clamping points; the parameter optimization module is used for collecting workpiece material features of the workpiece to be shaped, performing workpiece damage prediction and optimization on the multiple groups of candidate clamping parameters, and generating multiple groups of optimized candidate clamping parameters; the influence analysis module is used for determining a preset vibration feature threshold of the workpiece to be shaped; the simulation module is used for simulating workpiece vibration during machining based on the multiple groups of optimized candidate clamping parameters and the machine tool cutter control parameters, and performing screening on the multiple groups of optimized candidate clamping parameters with the preset vibration feature threshold as a constraint, to generate optimal clamping parameters, and control the machine tool clamping component.

[0008] One or more technical solutions provided in the present application have at least the following technical effects or advantages:

[0009] By connecting a control terminal of a shaping machining machine tool, workpiece original geometric features and machining area features of a workpiece to be shaped are analyzed, and machine tool cutter control parameters and a machining reference surface are output. Then, a clamping reference surface is determined based on the machining reference surface, and a clamping component of the machine tool is uniformly constrained in clamping force in combination with the machine tool cutter control parameters, and multiple groups of candidate clamping parameters are output, each group of candidate clamping parameters including clamping forces of multiple clamping points. Further, workpiece material features of the workpiece to be shaped are collected, workpiece damage prediction and optimization are performed on the multiple groups of candidate clamping parameters, and multiple groups of optimized candidate clamping parameters are generated. Next, a preset vibration feature threshold of the workpiece to be shaped is determined. Finally, workpiece vibration during machining is simulated based on the multiple groups of optimized candidate clamping parameters and the machine tool cutter control parameters, and the multiple groups of optimized candidate clamping parameters are screened with the preset vibration feature threshold as a constraint, to generate optimal clamping parameters, and the machine tool clamping component is controlled. The technical problem of reduced machining precision caused by unstable clamping in the workpiece shaping machining process in the prior art is solved, and the technical effect of improved machining precision is achieved by accurately controlling the clamping component. BRIEF DESCRIPTION OF DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0011] Figure 1 A workpiece clamping force balance regulation method flowchart is provided for the embodiments of the present application.

[0012] Figure 2 A workpiece clamping force balance regulation device structure diagram is provided for the embodiments of the present application.

[0013] Legend: feature analysis module 11, clamping force constraint module 12, parameter optimization module 13, influence analysis module 14, simulation module 15. DETAILED DESCRIPTION

[0014] The present application provides a workpiece clamping force balance regulation method and device, which solves the technical problem of reduced machining precision caused by unstable clamping during workpiece shaping machining in the prior art.

[0015] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0016] It should be noted that the terms "comprise" and "have" are intended to cover non-exclusive inclusion, for example, a process, method, system, product or server comprising a series of steps or units does not have to be limited to only those steps or units clearly listed, but can include other steps or modules not clearly listed or inherent to the process, method, product or device.

[0017] Embodiment one, as shown, the present application provides a workpiece clamping force balance regulation method, wherein the method comprises: Figure 1 connecting the control terminal of the shaping machining machine tool, analyzing the workpiece original geometric characteristics and machining area characteristics of the workpiece to be shaped, and outputting the machine tool cutter control parameters and the machining reference surface.

[0018] communicate with the control terminal of the shaping machining machine tool to obtain the workpiece original geometric characteristics and machining area characteristics of the workpiece to be shaped, wherein the workpiece original geometric characteristics include the size, shape, etc. of the workpiece, and the machining area characteristics refer to the area characteristics of the workpiece that need to be shaped, including the material, surface roughness, etc. of the area; analyzing the workpiece original geometric characteristics and machining area characteristics of the workpiece to be shaped, combining with the historical machine tool machining data, outputting the machine tool cutter control parameters, including the feed speed, cutting depth, speed, etc. of the cutter, and the machining reference surface, i.e. the determined machining surface.

[0019]

[0020] ​Determine a clamping reference surface based on the machining reference surface, and combine the machine tool cutter control parameters to uniformly constrain the clamping force of the machine tool clamping component, output multiple sets of candidate clamping parameters, each set of candidate clamping parameters including the clamping force of multiple clamping points.

[0021] Based on the machining reference surface of the workpiece, the clamping reference surface of the workpiece is determined, which is the key reference surface for keeping the workpiece stable and accurate during clamping. On the basis of determining the clamping reference surface, the clamping force of the machine tool clamping component is uniformly constrained according to the machine tool cutter control parameters, that is, the clamping force applied by each clamping point should be as evenly distributed as possible to ensure the stability and safety of the workpiece during machining; according to the clamping reference surface and the machine tool cutter control parameters, multiple sets of candidate clamping parameters are generated, each set of candidate clamping parameters including multiple clamping points and corresponding multiple clamping forces.

[0022] Further, based on the machining reference surface, the clamping reference surface is determined, and the clamping force of the machine tool clamping component is uniformly constrained in combination with the machine tool cutter control parameters, and multiple sets of candidate clamping parameters are output, including:

[0023] The cutting force conversion model is used to convert the machine tool cutter control parameters to output a preset cutting force distribution feature; based on the original geometric characteristics of the workpiece, the clamping point feature analysis under the workpiece stable condition is carried out, and the clamping point constraint condition is obtained, wherein the clamping point constraint condition includes the minimum clamping point number and the relative position feature of the clamping point; combine the clamping point constraint condition and the preset cutting force distribution feature, and take the uniform force of all positions of the workpiece to be shaped as the force constraint, make clamping parameter decision, and output the multiple sets of candidate clamping parameters.

[0024] Preferably, the cutting force conversion model is used to convert the machine tool control parameters (such as cutting speed, feed rate, cutting depth, etc.) into cutting force, and through the conversion, the cutting force generated by the tool on the workpiece under specific machining conditions and the distribution of the cutting force can be obtained. According to the cutting force conversion result, the preset cutting force distribution characteristics are output, which describe the distribution and change of the cutting force at different positions and different time points in the entire machining process. The original geometric characteristics of the workpiece (such as shape, size, material properties, etc.) are used to analyze the stability requirements of the workpiece during machining, and the clamping point constraint conditions are obtained according to the workpiece stability analysis. The constraint conditions include the minimum number of clamping points (i.e. the minimum number of clamping points required to maintain the stability of the workpiece) and the relative position characteristics of the clamping points (i.e. the clamping points should be distributed in which positions of the workpiece to ensure stability). Combined with the clamping point constraint conditions and the preset cutting force distribution characteristics, it is ensured that the workpiece can stably withstand the cutting force during machining, so that the stress uniformity of all positions of the reshaped workpiece is the stress constraint condition, the clamping parameter decision is made, and multiple sets of candidate clamping parameters are output. Each set of candidate clamping parameters includes the positions of multiple clamping points and the corresponding clamping force sizes to meet the requirements of workpiece stability and machining accuracy.

[0025] Further, based on the original geometric characteristics of the workpiece, the clamping point feature analysis under the workpiece stability condition is performed to obtain the clamping point constraint condition, including:

[0026] A clamping point constraint sample library is constructed, wherein the clamping point constraint sample library includes multiple sets of constraint samples, and any set of constraint samples includes a workpiece geometric feature sample, a clamping reference surface sample, and a clamping point constraint sample. The original geometric characteristics of the workpiece and the clamping reference surface are input into the clamping point constraint sample library for sample similarity matching to obtain the clamping point constraint condition, wherein the clamping point constraint condition is the clamping point constraint sample corresponding to the constraint sample with the highest sample similarity.

[0027] Preferably, the geometric feature data of various workpieces is acquired, which covers different types of workpieces and their key features such as size, shape, etc., to form a workpiece geometric feature sample; for each type of workpiece, one or more clamping reference surfaces are determined to form a clamping reference surface sample; for each type of workpiece and each clamping reference surface, appropriate clamping point positions are determined, which should ensure the stability and accuracy of the workpiece during clamping, to form a clamping point constraint sample; the workpiece geometric feature sample, the clamping reference surface sample and the clamping point constraint sample are combined into multiple constraint samples, and these samples are stored in a sample library to form a clamping point constraint sample library; the original geometric features of the workpiece and the clamping reference surface are input into the clamping point constraint sample library, a similarity measurement method (such as Euclidean distance, cosine similarity, etc.) is used to calculate the similarity of the input data with each constraint sample in the sample library, the constraint sample with the highest similarity is found, and the clamping point constraint corresponding to the sample is output as the final clamping point constraint condition.

[0028] Further, the clamping point constraint condition and the preset cutting force distribution feature are combined, and the clamping parameter decision is made with the force uniformity of all positions of the workpiece to be shaped as a force constraint, and the multiple sets of candidate clamping parameters are output, including:

[0029] The clamping point free interval of the machine tool clamping component is collected; based on the clamping point constraint condition, the clamping point free interval is traversed to generate multiple clamping point combinations; based on the preset cutting force distribution feature, the multiple clamping point combinations are tested for clamping force by a clamping finite element analysis model to generate multiple clamping force sets that can resist the preset cutting force and have a global clamping force uniformity satisfying a preset condition; wherein the clamping finite element analysis model is constructed based on the preset cutting force distribution feature and the original geometric features of the workpiece; the multiple sets of candidate clamping parameters are generated based on the multiple clamping point combinations and the multiple clamping force sets.

[0030] Preferably, the clamping point free range of the machine tool clamping part is collected, the clamping point free range refers to the position where the clamping point can be distributed, and within the range, the clamping point can be freely adjusted; the clamping point constraint sample library is determined, the constraint conditions of the clamping point are determined, all possible clamping point positions within the clamping point free range are traversed, and multiple clamping point combinations satisfying the constraint conditions are generated; based on the preset cutting force distribution characteristics and the original geometric characteristics of the workpiece, a clamping finite element analysis model is constructed, the clamping finite element analysis model will be used to simulate the workpiece deformation and stress distribution under different clamping point combinations and clamping forces; for each clamping point combination, the clamping finite element analysis model is used for clamping force test, in the test process, the preset cutting force is simulated to act on the workpiece, the deformation and stress distribution of the workpiece are obtained, by continuously adjusting the size and direction of the clamping force, a clamping force set that can resist the preset cutting force and the global clamping force uniformity meets the preset condition is found; the clamping point combination and the clamping force set that meet the condition are combined to generate multiple sets of candidate clamping parameters.

[0031] The workpiece material characteristics of the workpiece to be shaped are collected, and the multiple sets of candidate clamping parameters are subjected to workpiece damage prediction and optimization to generate multiple sets of optimized candidate clamping parameters.

[0032] By collecting the workpiece material characteristics of the workpiece to be shaped, including material type, material strength, yield strength, and fracture toughness, the multiple sets of candidate clamping parameters are subjected to workpiece damage prediction, and based on the workpiece damage prediction results, the multiple sets of candidate clamping parameters are optimized to obtain multiple sets of clamping parameters that can maximize the reduction of workpiece damage while ensuring machining stability. After optimization, multiple sets of optimized candidate clamping parameters are generated.

[0033] Further, the workpiece material characteristics of the workpiece to be shaped are collected, and the multiple sets of candidate clamping parameters are subjected to workpiece damage prediction and optimization to generate multiple sets of optimized candidate clamping parameters, including:

[0034] Based on the workpiece material characteristics, material attribute mining is performed to generate a material attribute set; based on the material attribute set, material damage deformation prediction is performed on the multiple sets of candidate clamping parameters to generate multiple sets of damage prediction indexes; based on the multiple sets of damage prediction indexes, candidate clamping parameters with damage prediction indexes less than or equal to a preset damage index are selected to generate the multiple sets of optimized candidate clamping parameters.

[0035] Preferably, material attribute mining is performed based on the characteristics of the workpiece material to obtain a set of material attributes from big data. Finite element analysis (FEA) or other simulation tools are used in combination with the set of material attributes to simulate each set of candidate clamping parameters and predict possible damage deformation of the workpiece during machining. Based on the simulation results, an expert team generates a damage prediction index for each set of candidate clamping parameters. Based on multiple sets of damage prediction indexes, candidate clamping parameters with a damage prediction index less than or equal to a preset damage index are selected as multiple sets of optimized candidate clamping parameters. These parameters are optimized parameters that can minimize damage deformation of the workpiece while meeting machining requirements.

[0036] A preset vibration characteristic threshold of the workpiece to be shaped is determined.

[0037] The preset machining accuracy, such as dimensional accuracy, surface roughness, and geometric shape accuracy, is determined based on product design, functional requirements, and manufacturing standards. Vibration can cause changes in the relative position between the cutting tool and the workpiece, thereby affecting the stability of the machining process and the accuracy of the machining result. Based on the preset machining accuracy, the workpiece vibration influence analysis is performed to generate the preset vibration characteristic threshold.

[0038] Further, the preset machining accuracy is obtained, and the preset vibration characteristic threshold of the workpiece to be shaped is determined, including:

[0039] Based on the historical machining record data of the workpiece to be shaped, multiple sets of vibration analysis samples are extracted, wherein any set of vibration analysis samples includes a vibration intensity sample and a machining error sample. The influence of vibration intensity on machining error is analyzed based on the multiple sets of vibration analysis samples to generate an error-vibration influence curve. An initial machining error interval is configured, and error analysis is performed in combination with the error-vibration influence curve and the preset machining accuracy to obtain a vibration intensity that meets the preset machining accuracy, and the preset vibration characteristic threshold is generated.

[0040] Preferably, a plurality of vibration analysis samples are extracted from the historical machining record data of the workpiece to be shaped, each vibration analysis sample including a vibration intensity sample and a machining error sample, the vibration intensity sample being a value of a vibration parameter recorded during machining, such as vibration acceleration, speed or displacement, and the machining error sample being machining error data corresponding to the vibration intensity sample, which can include size error, shape error, position error, etc.; the plurality of vibration analysis samples are analyzed using a statistical method to determine the relationship between vibration intensity and machining error, and an error-vibration influence curve is generated by curve fitting, the error-vibration influence curve describing the range of machining error under different vibration intensities; a reasonable initial machining error interval is configured according to machining requirements and actual experience, which can cover the error range under most normal machining conditions, while leaving a certain margin to deal with unforeseen circumstances; the error-vibration influence curve is combined with the preset machining precision to perform error analysis, specifically, the vibration intensity value corresponding to the preset machining precision on the curve is found, which is the maximum allowable vibration intensity that meets the machining precision requirement, and a preset vibration feature threshold is generated.

[0041] Workpiece vibration simulation is performed based on the plurality of optimized candidate clamping parameters and the machine tool control parameters, and the plurality of optimized candidate clamping parameters are screened with the preset vibration feature threshold as a constraint to generate optimal clamping parameters, and the machine tool clamping component is controlled.

[0042] By selecting appropriate machining simulation software, importing the three-dimensional model of the workpiece to be shaped, and setting its material properties and physical characteristics, the plurality of optimized candidate clamping parameters and machine tool control parameters are input into the simulation environment for simulation, and vibration data of the workpiece at different stages are recorded, including vibration intensity, vibration frequency, vibration direction, etc. The vibration data recorded during simulation are processed and analyzed, and a plurality of workpiece vibration indicators are extracted.

[0043] After obtaining the plurality of workpiece vibration indicators and the preset vibration feature threshold, the plurality of optimized candidate clamping parameters can be screened according to these data to find the optimal clamping parameters, and the machine tool clamping component is controlled accordingly. Specifically, the workpiece vibration indicators corresponding to each group of optimized candidate clamping parameters are compared with the preset vibration feature threshold, and those candidate clamping parameters that cause the vibration indicators to exceed the preset vibration feature threshold are eliminated. Among the candidate clamping parameters that meet the vibration threshold requirement, the group with the lowest vibration indicator is selected as the optimal clamping parameter, and the screened optimal clamping parameter is input into the machine tool control terminal to accurately control the machine tool clamping component.

[0044] Further, after controlling the machine tool clamping component, it further includes:

[0045] The workpiece position offset analysis is performed on the workpiece to be shaped based on a preset machining precision, a preset offset threshold is generated, a clamping abnormality early warning platform is generated based on the preset offset threshold, and a displacement sensor is configured for the workpiece to be shaped; the position offset of the workpiece to be shaped is monitored through the displacement sensor, and the clamping abnormality early warning platform is input to report an abnormality.

[0046] Preferably, the workpiece position offset analysis is performed on the workpiece to be shaped based on a preset machining precision. The position offset of the workpiece in the machining process can be simulated by using simulation software or actual machining experience. According to the preset machining precision and the simulation analysis result, the maximum allowable position offset, that is, the preset offset threshold, is determined. The preset offset threshold should ensure that the position offset of the workpiece in the machining process does not exceed the requirement of the preset machining precision. The clamping abnormality early warning platform is generated based on the preset offset threshold. The clamping abnormality early warning platform is used to warn when the preset offset threshold is exceeded. The position offset of the workpiece is monitored in real time through the clamping abnormality early warning platform, that is, the displacement sensor of the shaped workpiece. Once it is found that the position offset of the workpiece exceeds the preset offset threshold, the platform will report an abnormality.

[0047] In summary, the embodiments of the present application have at least the following technical effects:

[0048] By connecting the control terminal of the shaping machining machine tool, the workpiece original geometric characteristics and machining area characteristics of the workpiece to be shaped are analyzed, and the machine tool cutter control parameters and machining reference surface are output. Then, the clamping reference surface is determined based on the machining reference surface, and the machine tool clamping component is uniformly constrained in clamping force based on the machine tool cutter control parameters, and a plurality of groups of candidate clamping parameters are output, each group of candidate clamping parameters including the clamping force of a plurality of clamping points. Further, the workpiece material characteristics of the workpiece to be shaped are collected, the workpiece damage prediction and optimization are performed on the plurality of groups of candidate clamping parameters, and a plurality of groups of optimized candidate clamping parameters are generated. Next, the preset vibration characteristic threshold of the workpiece to be shaped is determined. Finally, the workpiece vibration simulation during machining is performed based on the plurality of groups of optimized candidate clamping parameters and the machine tool cutter control parameters, and the plurality of groups of optimized candidate clamping parameters are screened with the preset vibration characteristic threshold as a constraint to generate optimal clamping parameters for controlling the machine tool clamping component. The technical problem of reducing machining precision caused by unstable clamping in the workpiece shaping machining process in the prior art is solved, and the machining precision is improved by accurately controlling the clamping component.

[0049] Embodiment two, based on the same inventive concept as the workpiece clamping force balancing regulation method in the foregoing embodiments, as Figure 2 shown, the present application provides a workpiece clamping force balancing regulation device. The device and method embodiments in the present application are based on the same inventive concept. The device includes:

[0050] The feature analysis module 11 is used to connect the control terminal of the shaping machine tool, analyze the workpiece original geometric features and machining area features of the workpiece to be shaped, output the tool control parameters of the machine tool and the machining reference surface; the clamping force constraint module 12 is used to determine the clamping reference surface based on the machining reference surface, and uniformly constrain the clamping force of the machine tool clamping component in combination with the tool control parameters of the machine tool, output a plurality of groups of candidate clamping parameters, and each group of candidate clamping parameters includes the clamping force of a plurality of clamping points; the parameter optimization module 13 is used to collect the workpiece material features of the workpiece to be shaped, and perform workpiece damage prediction and optimization on the plurality of groups of candidate clamping parameters to generate a plurality of groups of optimized candidate clamping parameters; the influence analysis module 14 is used to determine the preset vibration feature threshold of the workpiece to be shaped; the simulation module 15 is used to simulate the workpiece vibration during machining based on the plurality of groups of optimized candidate clamping parameters and the tool control parameters of the machine tool, and filter the plurality of groups of optimized candidate clamping parameters with the preset vibration feature threshold as a constraint to generate optimal clamping parameters, and control the machine tool clamping component.

[0051] Further, the clamping force constraint module 12 is used to execute the following method:

[0052] The cutting force conversion model is used to convert the tool control parameters of the machine tool into a preset cutting force distribution feature; the clamping point feature analysis under the workpiece stable condition is performed based on the workpiece original geometric features to obtain the clamping point constraint condition, wherein the clamping point constraint condition includes the minimum number of clamping points and the relative position feature of the clamping points; in combination with the clamping point constraint condition and the preset cutting force distribution feature, the force constraint of uniform force on all positions of the workpiece to be shaped is used as a force constraint to make a clamping parameter decision, and output the plurality of groups of candidate clamping parameters.

[0053] Further, the clamping force constraint module 12 is used to execute the following method:

[0054] A clamping point constraint sample library is constructed, wherein the clamping point constraint sample library includes a plurality of groups of constraint samples, and any group of constraint samples includes a workpiece geometric feature sample, a clamping reference surface sample and a clamping point constraint sample; the workpiece original geometric features and the clamping reference surface are input into the clamping point constraint sample library for sample similarity matching to obtain the clamping point constraint condition, wherein the clamping point constraint condition is the clamping point constraint sample corresponding to the constraint sample with the highest sample similarity.

[0055] Further, the clamping force constraint module 12 is used to execute the following method:

[0056] Collecting a clamping point free interval of a clamping part of a machine tool; traversing the clamping point free interval based on a clamping point constraint condition to generate a plurality of clamping point combinations; based on the preset cutting force distribution characteristics, testing the plurality of clamping point combinations by a clamping finite element analysis model to generate a plurality of clamping force sets that can resist a preset cutting force and have a global clamping force uniformity meeting a preset condition; wherein the clamping finite element analysis model is constructed based on the preset cutting force distribution characteristics and the original geometric characteristics of the workpiece; and the plurality of clamping point combinations and the plurality of clamping force sets are used to generate the plurality of sets of candidate clamping parameters.

[0057] Further, the parameter optimization module 13 is configured to perform the following method:

[0058] Based on the workpiece material characteristics, material attribute mining is performed to generate a material attribute set; based on the material attribute set, material damage deformation prediction is performed on the plurality of sets of candidate clamping parameters to generate a plurality of sets of damage prediction indexes; based on the plurality of sets of damage prediction indexes, candidate clamping parameters with a damage prediction index less than or equal to a preset damage index are selected to generate the plurality of sets of optimized candidate clamping parameters.

[0059] Further, the influence analysis module 14 is configured to perform the following method:

[0060] Based on the historical machining record data of the workpiece to be shaped, a plurality of sets of vibration analysis samples are extracted, wherein any set of vibration analysis samples includes a vibration intensity sample and a machining error sample; based on the plurality of sets of vibration analysis samples, the influence of vibration intensity on machining error is analyzed to generate an error-vibration influence curve; an initial machining error interval is configured, error analysis is performed in combination with the error-vibration influence curve and the preset machining precision, a vibration intensity meeting the preset machining precision is obtained, and the preset vibration feature threshold is generated.

[0061] Further, the simulation module 15 is configured to perform the following method:

[0062] Based on the preset machining precision, workpiece position offset analysis is performed on the workpiece to be shaped to generate a preset offset threshold; a clamping abnormality early warning platform is generated based on the preset offset threshold, and a displacement sensor is configured for the workpiece to be shaped; the position offset of the workpiece to be shaped is monitored by the displacement sensor, and the clamping abnormality early warning platform is input to report the abnormality.

[0063] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. The above describes a specific embodiment of the present application. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are possible or can be advantageous.

[0064] The above description is merely exemplary of the application, one skilled in the art will readily devise many variations of the preferred embodiments without departing from the scope of the application. Accordingly, the application is not limited as exemplified above, but is only limited as by the claims.

[0065] The specification and drawings are, of course, exemplary only and serve only as an example of the application. It will be readily understood that various modifications and changes in form or details can be made thereto by those skilled in the art without departing from the spirit of the application. It is therefore intended that the application be limited only by the scope of the appended claims, all changes and modifications that come within the meaning and range of equivalents are to be embraced by the claims.

Claims

1. A method for balancing and controlling workpiece clamping force, characterized in that, The method includes: Connect to the control terminal of the shaping machine tool, analyze the original geometric features and processing area features of the workpiece to be shaped, and output the machine tool control parameters and processing reference surface; Based on the machining reference surface, the clamping reference surface is determined, and the clamping force of the machine tool clamping component is uniformly constrained in combination with the machine tool control parameters. Multiple sets of candidate clamping parameters are output, and each set of candidate clamping parameters includes the clamping force of multiple clamping points. The material characteristics of the workpiece to be shaped are collected, and workpiece damage is predicted and optimized for the multiple sets of candidate clamping parameters to generate multiple sets of optimized candidate clamping parameters. Determine the preset vibration characteristic threshold of the workpiece to be shaped; Workpiece vibration is simulated during machining based on the multiple sets of optimized candidate clamping parameters and the machine tool control parameters. The preset vibration characteristic threshold is used as a constraint to filter the multiple sets of optimized candidate clamping parameters, generate the optimal clamping parameters, and control the machine tool clamping components. This process involves collecting the material characteristics of the workpiece to be shaped, predicting and optimizing workpiece damage based on the multiple sets of candidate clamping parameters, and generating multiple sets of optimized candidate clamping parameters, including: Based on the material characteristics of the workpiece, material properties are mined to generate a set of material properties. Based on the set of material properties, material damage and deformation prediction is performed on the multiple sets of candidate clamping parameters to generate multiple sets of damage prediction indices. Based on the multiple sets of damage prediction indices, candidate clamping parameters with damage prediction indices less than or equal to preset damage indices are selected, and the multiple sets of optimized candidate clamping parameters are generated. The process of obtaining a preset machining accuracy and determining a preset vibration characteristic threshold for the workpiece to be shaped includes: Based on the historical processing record data of the workpiece to be shaped, multiple sets of vibration analysis samples are extracted. Each set of vibration analysis samples includes vibration intensity samples and processing error samples. Based on the analysis of the multiple sets of vibration analysis samples, the influence of vibration intensity on processing error is analyzed, and an error-vibration influence curve is generated. Configure the initial processing error range, perform error analysis by combining the error-vibration influence curve with the preset processing accuracy, obtain the vibration intensity that meets the preset processing accuracy, and generate the preset vibration characteristic threshold.

2. The workpiece clamping force equalization control method as described in claim 1, characterized in that, Based on the machining reference surface, a clamping reference surface is determined, and the clamping force of the machine tool clamping component is uniformly constrained in conjunction with the machine tool control parameters. Multiple sets of candidate clamping parameters are output, including: The machine tool control parameters are converted into cutting forces using a cutting force conversion model, and a preset cutting force distribution characteristic is output. Based on the original geometric features of the workpiece, the clamping point feature analysis under the stable condition of the workpiece is performed to obtain the clamping point constraint conditions, wherein the clamping point constraint conditions include the minimum number of clamping points and the relative position features of the clamping points. Combining the clamping point constraints and the preset cutting force distribution characteristics, and taking the uniform force distribution at all positions of the workpiece to be shaped as the force constraint, clamping parameter decisions are made, and multiple sets of candidate clamping parameters are output.

3. The workpiece clamping force equalization control method as described in claim 2, characterized in that, Based on the original geometric features of the workpiece, the clamping point feature analysis under stable conditions is performed to obtain the clamping point constraint conditions, including: Construct a clamping point constraint sample library, wherein the clamping point constraint sample library includes multiple sets of constraint samples, wherein any set of constraint samples includes workpiece geometric feature samples, clamping reference surface samples and clamping point constraint samples; The original geometric features of the workpiece and the clamping reference surface are input into the clamping point constraint sample library for sample similarity matching to obtain the clamping point constraint conditions, wherein the clamping point constraint conditions are the clamping point constraint samples corresponding to the constraint samples with the highest sample similarity.

4. The workpiece clamping force equalization control method as described in claim 2, characterized in that, Combining the clamping point constraints and the preset cutting force distribution characteristics, and taking the uniform force distribution across all positions of the workpiece to be shaped as the force constraint, clamping parameter decisions are made, and the multiple sets of candidate clamping parameters are output, including: Collect the free range of the clamping points of the machine tool clamping components; Based on the clamping point constraints, the free interval of the clamping points is traversed to generate multiple clamping point combinations. Based on the preset cutting force distribution characteristics, the clamping force of the multiple clamping point combinations is tested by the clamping finite element analysis model to generate multiple clamping force sets that can resist the preset cutting force and whose global clamping force uniformity meets the preset conditions. The clamping finite element analysis model is constructed based on the preset cutting force distribution characteristics and the original geometric features of the workpiece. The multiple sets of candidate clamping parameters are generated by combining the multiple clamping points and the multiple sets of clamping forces.

5. The workpiece clamping force equalization control method as described in claim 1, characterized in that, After controlling the machine tool clamping component, the method further includes: Based on the preset processing accuracy, the workpiece to be shaped is analyzed for workpiece position offset, and a preset offset threshold is generated; A clamping anomaly early warning platform is generated based on the preset offset threshold, and a displacement sensor is configured for the workpiece to be shaped. The displacement sensor monitors the positional deviation of the workpiece to be shaped and inputs the data into the clamping anomaly early warning platform for anomaly reporting.

6. A workpiece clamping force equalization and adjustment device, characterized in that, The apparatus for implementing the workpiece clamping force equalization and control method according to any one of claims 1-5, the apparatus comprising: The feature analysis module is used to connect to the control terminal of the shaping machine tool, analyze the original geometric features and processing area features of the workpiece to be shaped, and output the machine tool control parameters and processing reference surface; The clamping force constraint module is used to determine the clamping reference surface based on the machining reference surface, and to uniformly constrain the clamping force of the machine tool clamping component in combination with the machine tool control parameters, and output multiple sets of candidate clamping parameters, each set of candidate clamping parameters including the clamping force of multiple clamping points; The parameter optimization module is used to collect the material characteristics of the workpiece to be shaped, predict and optimize the workpiece damage of the multiple sets of candidate clamping parameters, and generate multiple sets of optimized candidate clamping parameters. An influence analysis module is used to determine a preset vibration characteristic threshold for the workpiece to be shaped. The simulation module is used to simulate workpiece vibration during machining based on the multiple sets of optimized candidate clamping parameters and the machine tool control parameters, and to filter the multiple sets of optimized candidate clamping parameters with the preset vibration characteristic threshold as a constraint to generate the optimal clamping parameters and control the machine tool clamping components.

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