A high dynamic response spindle design method and system

Abstract

The present invention relates to the technical field of spindle design, and in particular to a high dynamic response spindle design method and system. The method comprises: constructing a transient response mother model by acquiring historical spindle response parameters, generating a spindle design plan according to the transient response mother model, classifying the historical spindle response parameters according to design influencing factors, and constructing a transient response sub-model, collecting the precise dynamic response requirements of the spindle to be designed, performing response dependency management on the high dynamic response adaptation data corresponding to the transient response sub-model, revising the spindle design plan, and generating a spindle design final plan. Through the present invention, the response delay problem faced by traditional methods is effectively solved, so that the spindle can achieve instant response when facing sudden working conditions and transient loads, thereby greatly shortening the response time, improving the spindle response speed, enhancing the machining accuracy, and improving the production efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of spindle design, and in particular to a high dynamic response spindle design method and system. Background Art

[0002] In the field of modern mechanical engineering, the rapid response capability of the spindle is one of the key factors to improve equipment performance. With the development of industrial automation and intelligent manufacturing, the requirements for the dynamic response speed of the spindle are increasing. Traditional design methods often face the problem of response delay, which leads to the inability to effectively guarantee the response speed and stability of the spindle when facing complex working conditions.

[0003] Although existing technologies have made progress in the dynamic monitoring of spindles, they are still insufficient in terms of rapid response capabilities. Many spindle designs cannot adapt quickly to transient loads and sudden working conditions, resulting in delayed response times, which in turn affects processing accuracy and production efficiency. In high-dynamic application scenarios, the spindle needs to respond to changes in a very short time, and traditional static design methods can hardly meet this requirement.

[0004] The information disclosed in this background technology section is only intended to deepen the understanding of the overall background technology of the present disclosure, and should not be regarded as acknowledging or suggesting in any form that the information constitutes the prior art known to those skilled in the art. Summary of the invention

[0005] The present invention provides a high dynamic response spindle design method and system, which can effectively solve the problems in the background technology.

[0006] In order to achieve the above object, the technical solution adopted by the present invention is:

[0007] A high dynamic response spindle design method, the method comprising:

[0008] Obtain historical spindle response parameters and the precision dynamic response requirements of the spindle to be designed, construct a transient response mother model according to the historical spindle response parameters, and generate a spindle design plan according to the transient response mother model;

[0009] Classifying the historical spindle response parameters according to the design influencing factors to obtain the design factor classification results, and constructing transient response sub-models according to the design factor classification results, each of the transient response sub-models selecting high dynamic response adaptation data according to the precision dynamic response requirements;

[0010] Performing response dependency management on the high dynamic response adaptation data corresponding to the transient response sub-model according to the precise dynamic response requirement to obtain a dynamic response design reference;

[0011] The spindle design plan is modified according to the dynamic design reference to generate a spindle design final plan.

[0012] Furthermore, a transient response mother model is constructed according to the historical principal axis response parameters, including:

[0013] Collecting the historical spindle response parameters, constructing a spindle geometric representation according to the historical spindle response parameters, and performing finite grid division on the spindle geometric representation;

[0014] According to the precise dynamic response requirements, the geometric representation of the main axis after finite grid division is defined to set dynamic boundary conditions, static boundary conditions and transient loads;

[0015] The dynamic boundary conditions, the static boundary conditions and the transient load are loaded based on the principal axis geometric representation to obtain the transient response mother model.

[0016] Furthermore, according to the precise dynamic response requirement, response dependency management is performed on the high dynamic response adaptation data corresponding to the transient response sub-model to obtain a dynamic response design reference, including:

[0017] Allocating parameter weights to each of the transient response sub-models according to the historical principal axis response parameters, wherein the parameter weights represent the degree of dependence of the principal axis to be designed on a single design parameter;

[0018] According to the precision motion requirements, spindle performance weights are set for several individual performances of the spindle to be designed, wherein the spindle performance weights represent the degree of dependence of the spindle to be designed on the individual performances;

[0019] Establish a large database of spindle design, manage and analyze the historical spindle response parameters to obtain parameter scores and performance scores;

[0020] Based on the parameter weights and the index weights and the parameter scores and the index scores, the response design reference is calculated;

[0021] The dynamic design is obtained by referring to the following formula:

[0022] ;

[0023] Indicates the dynamic design reference, represents the parameter weight, represents the parameter score, represents the performance weight, Represents the performance score.

[0024] Furthermore, a spindle design database is established to manage and analyze the historical spindle response parameters to obtain parameter scores and performance scores, including:

[0025] According to the historical spindle response parameters, the precision motion requirements and maintenance information of the corresponding designed spindle are obtained;

[0026] Clustering the historical spindle response parameters according to the precision motion requirements and the overhaul and maintenance information, and establishing the spindle design database;

[0027] Performing deep learning on the spindle design big database, and obtaining a first deep learning result and a second deep learning result according to the clustering of the precision motion requirements and the clustering of the repair and maintenance information respectively;

[0028] Obtain the performance score based on the first deep learning result by obtaining the deviation between the historical spindle requirement completion degree and the precision motion requirement;

[0029] The parameter score is obtained by obtaining the deviation between the historical spindle maintenance information and the single design parameter according to the second deep learning result.

[0030] Further, the high dynamic response adaptation data corresponding to the transient response sub-model is subjected to response dependency management according to the precise dynamic response requirement, including:

[0031] Comparing the dependencies of the plurality of transient response sub-models with the transient response sub-model marked as the transient response anchor point, and adjusting the relative positions of the plurality of transient response sub-models with the transient response sub-model marked as the transient response anchor point according to the comparison results, to obtain two unordered dependency sets;

[0032] Unmarking the transient response anchor point, and selecting any of the transient response sub-models in the dependent unordered set to mark as the transient response anchor point, and comparing the dependency with the remaining transient response sub-models in the dependent unordered set, and adjusting the relative position of the transient response sub-model marked as the transient response anchor point according to the comparison result;

[0033] Repeat the process of selecting the transient response anchor point and adjusting the relative position until the initial sub-model chain is a dependent ordered chain;

[0034] The dependency is the dependency of the precision dynamic response requirement on each of the transient response sub-models.

[0035] Furthermore, a main shaft design plan is generated based on the transient response mother model, including:

[0036] Setting a data collection time axis for the historical spindle response parameters based on the spindle design big database;

[0037] Traversing the spindle design database according to the time axis of the collected data, and obtaining historical spindle response parameters that match the spindle to be designed;

[0038] The spindle design plan is generated according to the matched historical spindle response parameters.

[0039] Furthermore, the historical spindle response parameters are classified according to the design influencing factors to obtain the design factor classification results, and a transient response sub-model is constructed according to the design factor classification results. Each of the transient response sub-models selects high dynamic response adaptation data according to the precise dynamic response requirements, including:

[0040] According to the precision dynamic response requirement, a single parameter influencing feature is set for the single design parameter, and some of the single parameter influencing features are classification results of the design factors;

[0041] Establishing the transient response sub-model based on the spindle design big database according to the single parameter influence characteristics;

[0042] Each of the transient response sub-models generates a time adaptation weight according to the time axis of the acquired data, and selects high dynamic response adaptation data according to the time adaptation weight and the single parameter influence feature.

[0043] Furthermore, the spindle design plan is modified according to the dynamic design reference to generate a spindle design final plan, including:

[0044] Evaluate the initial performance of the spindle design plan according to the dynamic design reference, analyze the deviation between the spindle design plan and the dynamic design reference, and obtain a deviation analysis result;

[0045] The parameters of the spindle design plan are modified based on the deviation analysis results, and the final spindle design plan is generated through repeated evaluation and modification.

[0046] A high dynamic response spindle design system, the system comprising:

[0047] A response model plan module obtains historical spindle response parameters and the precision dynamic response requirements of the spindle to be designed, builds a transient response mother model according to the historical spindle response parameters, and generates a spindle design plan according to the transient response mother model;

[0048] A sub-model classification construction module is used to classify the historical spindle response parameters according to the design influencing factors, obtain the design factor classification results, and construct a transient response sub-model according to the design factor classification results, each of the transient response sub-models selects high dynamic response adaptation data according to the precision dynamic response requirements;

[0049] A dependency management design reference module performs response dependency management on the high dynamic response adaptation data corresponding to the transient response sub-model according to the precise dynamic response requirement to obtain a dynamic response design reference;

[0050] The design reference final case correction module corrects the spindle design plan according to the dynamic design reference to generate the spindle design final case.

[0051] Furthermore, the dependency management design reference module includes:

[0052] A parameter weight allocation unit, which allocates a parameter weight to each of the transient response sub-models according to the historical spindle response parameters, wherein the parameter weight represents the dependence of the spindle to be designed on a single design parameter;

[0053] A performance weight setting unit, which sets spindle performance weights for a plurality of individual performances of the spindle to be designed according to the precision motion requirement, wherein the spindle performance weights represent the degree of dependence of the spindle to be designed on the individual performances;

[0054] A database establishment and scoring unit is used to establish a large spindle design database, manage and analyze the historical spindle response parameters to obtain parameter scores and performance scores;

[0055] A design reference calculation unit, which calculates and obtains the design reference based on the parameter weight and the index weight and the parameter score and the index score;

[0056] The technical solution of the present invention can achieve the following technical effects:

[0057] It effectively solves the response delay problem faced by traditional methods, allowing the spindle to achieve instant response when facing sudden working conditions and transient loads, thereby greatly shortening the response time, improving the spindle response speed, enhancing processing accuracy, and improving production efficiency.

[0058] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0060] Figure 1 A schematic diagram of the process of designing a high dynamic response spindle;

[0061] Figure 2 A flow chart obtained for reference in dynamic design;

[0062] Figure 3 A schematic diagram of the parameter performance scoring process;

[0063] Figure 4 Schematic diagram for data response dependency management. DETAILED DESCRIPTION

[0064] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0065] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0066] Embodiment 1

[0067] like Figure 1 As shown, the present application provides a high dynamic response spindle design method, the method comprising:

[0068] S100: Obtain historical spindle response parameters and the precision dynamic response requirements of the spindle to be designed, build a transient response mother model according to the historical spindle response parameters, and generate a spindle design plan according to the transient response mother model;

[0069] S200: classifying historical spindle response parameters according to design influencing factors to obtain design factor classification results, and constructing transient response sub-models according to the design factor classification results. Each transient response sub-model selects high dynamic response adaptation data according to precise dynamic response requirements;

[0070] S300: Perform response dependency management on the high dynamic response adaptation data corresponding to the transient response sub-model according to the precise dynamic response requirements to obtain a dynamic response design reference;

[0071] S400: Modify the spindle design plan according to the dynamic design reference and generate the spindle design final plan.

[0072] Specifically, first, the performance response data of various models of spindles in history are collected. These data include response parameters such as spindle speed, torque, temperature and vibration. At the same time, the precision dynamic response requirements of the newly designed spindle are analyzed and determined. These requirements are aimed at the expected operating conditions and performance standards. Using the collected historical response parameters, a transient response mother model is constructed. This model can predict the response performance of the spindle under different working conditions. Then, the historical spindle response parameters are classified according to design influencing factors such as material type, geometric size, load type, etc. Based on the classification results, multiple transient response sub-models are constructed, and each sub-model focuses on a specific category of design factors. , and select and adjust the adaptive high-dynamic response data according to the precise dynamic response requirements of the new spindle, conduct in-depth analysis of each transient response sub-model, and select response data that can meet the precise dynamic response requirements. This includes adjusting the data to adapt to specific performance indicators, and managing the response dependency of the response data based on the output of the sub-model and the precise dynamic response requirements. Integrate all relevant data and performance predictions to generate a dynamic response design reference. Based on the dynamic response design reference, make detailed revisions to the preliminary spindle design plan. The revision process may involve changing design parameters, such as adjusting the size of the spindle, selecting suitable materials, or modifying load conditions. Generate a final plan based on the revision results.

[0073] The technical solution of the present invention effectively solves the response delay problem faced by traditional methods, so that the spindle can achieve instant response when facing sudden working conditions and transient loads, thereby greatly shortening the response time, improving the spindle response speed, enhancing processing accuracy, and improving production efficiency.

[0074] Furthermore, a transient response mother model is constructed based on the historical main axis response parameters, including:

[0075] Collect historical spindle response parameters, construct spindle geometry representation according to the historical spindle response parameters, and perform finite grid division on the spindle geometry representation;

[0076] According to the precise dynamic response requirements, the geometric representation of the main axis after finite mesh division is defined to set dynamic boundary conditions, static boundary conditions and transient loads;

[0077] Based on the principal axis geometry characterization, dynamic boundary conditions, static boundary conditions and transient loads are applied to obtain the transient response mother model.

[0078] As a preferred embodiment of the above, first, according to the historical spindle response parameters, computer design software is used to ensure that the model accurately reflects the physical size and shape of the spindle, and then the geometric model of the spindle is meshed using finite element analysis software to divide the continuous geometric body into small, discrete elements, so that simple mathematical equations can be used on each small element to approximate the physical behavior of the entire object, such as stress and strain, and then static boundary conditions are set, such as the fixing method and position of the spindle mounting point, and dynamic boundary conditions are set, such as the rotation speed and direction of the spindle during operation. These conditions simulate the environment of the spindle in dynamic operation, such as the rotation speed, direction and Dynamic forces that may be encountered will affect the performance of the spindle. Then, transient loads need to be defined, such as forces during startup and braking, or impact loads under specific operating conditions. Such loads that change in a shorter period of time usually have a greater impact on the spindle design than static loads because they may cause fatigue or fracture. Static and dynamic boundary conditions and transient loads are then applied to the meshed spindle model. Finite element analysis software is used to calculate the response of the spindle under these boundary conditions and loads, such as stress distribution, deformation, etc. A transient response mother model is generated based on the calculation results. The calculation results can help evaluate the effectiveness of the spindle design and potential areas for improvement.

[0079] Furthermore, if Figure 2 As shown, according to the precise dynamic response requirements, the high dynamic response adaptation data corresponding to the transient response sub-model is managed in response dependency to obtain a dynamic response design reference, including:

[0080] S310: assigning a parameter weight to each transient response sub-model according to the historical principal axis response parameter, wherein the parameter weight represents the dependence of the principal axis to be designed on the single design parameter;

[0081] S320: setting spindle performance weights for several individual performances of the spindle to be designed according to the precision motion requirement, where the spindle performance weights represent the degree of dependence of the spindle to be designed on the individual performances;

[0082] S330: Establish a large database of spindle design, manage and analyze historical spindle response parameters to obtain parameter scores and performance scores;

[0083] S340: Calculate and obtain a dynamic design reference based on the parameter weight and the index weight as well as the parameter score and the index score;

[0084] The dynamic design is obtained by referring to the following formula:

[0085] ;

[0086] Indicates the dynamic design reference. represents the parameter weight, represents the parameter score, represents the performance weight, Indicates the performance score.

[0087] In this embodiment, first, according to the historical spindle response parameters, the key design parameters that affect the dynamic response of the spindle, such as material properties, geometric dimensions, load conditions, etc., are determined, and parameter weights are set for each parameter. Specifically, this involves analyzing the performance of each design parameter in the historical data and assigning different weight values ​​according to the magnitude of their impact on the spindle performance. At the same time, all key performance indicators, such as response time, load capacity, stability, etc., are listed. By determining the importance of each performance indicator, for example, if a certain performance, such as speed or torque, is more critical to the overall design, then the performance will be given a higher weight. Then, the weight is assigned accordingly using the hierarchical analysis method. Then, all relevant historical spindle response parameters are collected and sorted, and a large database covering a wide range of historical spindle response parameters is established. The historical response parameters in the database are analyzed through deep learning or other data analysis methods, and the performance of each parameter and its contribution to the spindle performance are evaluated to generate a parameter score. Similarly, each performance is scored to generate a performance score. According to the set parameter weight and performance weight and the corresponding score, a dynamic response design reference is obtained through formula calculation.

[0088] Further, if Figure 3 As shown in the figure, a large database of spindle design is established to manage the historical spindle response parameters and obtain parameter scores and performance scores, including:

[0089] S331: obtaining the precision motion requirements and maintenance information of the corresponding designed spindle according to the historical spindle response parameters;

[0090] S332: Cluster historical spindle response parameters according to precision motion requirements and overhaul and maintenance information, and establish a spindle design database;

[0091] S333: performing deep learning on the spindle design database, and obtaining a first deep learning result and a second deep learning result according to the clustering of precision motion requirements and the clustering of maintenance information respectively;

[0092] S334: Obtaining a performance score according to the deviation between the completion degree of the historical spindle requirement and the precision motion requirement of the first deep learning result;

[0093] S335: Obtain parameter scores based on the deviation between the historical spindle maintenance information and the single design parameter obtained according to the second deep learning result.

[0094] Specifically, first, the performance indicators that the spindle needs to achieve under specific working conditions are collected, such as maximum speed, response time, maximum load, etc., and then the maintenance records of the spindle are collected, such as replacement parts, maintenance frequency, fault type, and performance improvement after maintenance. The collected data are integrated into a large database, and a clustering algorithm is used to classify the data according to precision motion requirements and maintenance information to form different data groups, which helps to identify similar working conditions and maintenance patterns. A deep learning model is applied to each data group to independently learn and extract features to predict the performance and maintenance needs of the spindle, generating two groups of deep learning results: one group is based on performance predictions based on motion requirements, and the other group is based on parameter performance of maintenance data. Based on the first group of deep learning results, the deviation between the historical spindle demand completion and its precision motion requirements is compared to evaluate the spindle. The degree to which the spindle meets the design requirements in actual operation is used to obtain a performance score, where the historical spindle requirement completion is an indicator used to measure the degree to which the actual performance of the spindle meets its design goals. Based on the second set of deep learning results, the correlation between the spindle maintenance information and the design parameters is analyzed, and the reliability and maintenance requirements of each parameter in actual use are evaluated to obtain a parameter score; the allocation of the above parameters and performance weights can be set in the following way: first, a judgment matrix is ​​constructed to compare their relative importance. The rows and columns represent the elements to be compared, the diagonal of the matrix is ​​filled with 1, and the non-diagonal elements are filled with the results of the above pairwise comparison; the scaling method is used to compare the importance of the parameters, and the comparison results are filled into the judgment matrix, the eigenvector of the judgment matrix is ​​calculated, and the parameter weights and exponential weights are obtained according to the calculated judgment matrix.

[0095] Furthermore, if Figure 4 As shown, according to the precise dynamic response requirements, the high dynamic response adaptation data corresponding to the transient response sub-model is managed in response dependency, including:

[0096] Based on the precise dynamic response requirements, an initial sub-model chain is created for several transient response sub-models, and any transient response sub-model in the initial sub-model chain is marked as a transient response anchor point;

[0097] Comparing the dependencies of several transient response sub-models with the transient response sub-model marked as the transient response anchor point, and adjusting the relative positions of the transient response sub-models with the transient response anchor point according to the comparison results, to obtain two unordered dependency sets;

[0098] Unmarking the transient response anchor point, and selecting any transient response sub-model in the dependent unordered set to mark as the transient response anchor point, and comparing the dependency with the remaining transient response sub-models in the dependent unordered set, and adjusting the relative position of the transient response sub-model marked as the transient response anchor point according to the comparison result;

[0099] Repeat the process of selecting transient response anchor points and adjusting relative positions until the initial sub-model chain is a dependent ordered chain;

[0100] The dependency is the dependency of the precision dynamic response requirement on each transient response sub-model.

[0101] As a preferred embodiment of the above, firstly, based on the precise dynamic response requirement, an initial sub-model chain is created for the transient response sub-model. These sub-models reflect the contribution of different components or functions in the spindle design to specific performance indicators. A sub-model is randomly selected in the initial sub-model chain as a transient response anchor point. This anchor point is used as a reference point to compare the dependency between the dynamic response design reference of the anchor point and the dynamic response design reference of other sub-models. The dependency between each sub-model in the chain and the anchor point model is compared. The dependency reflects the importance of a sub-model to the performance of the anchor point model. According to the comparison result, the relative position of the sub-model in the chain is adjusted to form two dependent unordered sets: one set includes models with a higher dependency than the anchor point, and the other includes models with a lower dependency. The current anchor point mark is canceled, and then a new sub-model is selected from each of the two dependent unordered sets as a new anchor point. The process of dependency comparison and model position adjustment is repeated. A new anchor point is selected for each iteration, and the order of the sub-models is optimized. The iterative process is continued until all sub-models form an ordered chain according to the dependency, which means that the position of each sub-model now reflects its degree of influence on the overall spindle performance and the importance of the dependency relationship.

[0102] Furthermore, the main shaft design plan is generated based on the transient response mother model, including:

[0103] The data collection time axis is set for historical spindle response parameters based on the spindle design database;

[0104] Traverse the spindle design database according to the time axis of the collected data, and obtain the historical spindle response parameters that match the spindle to be designed;

[0105] Generate a spindle design plan based on the matching historical spindle response parameters.

[0106] In this embodiment, first, a timeline is established in the spindle design big database, which reflects the time points of collecting historical spindle response parameters. These time points may be based on the actual date of data collection, or set according to the key period of spindle use, such as maintenance, upgrade or after a major failure. The set data collection timeline is used to traverse the database to retrieve the historical spindle response parameters recorded at these key time points. These parameters include the running speed, load capacity, failure rate, maintenance history, etc. of the spindle. Then, the data retrieved from the big database is screened to select the historical spindle response parameters that best match the spindle to be designed. The matching criteria may be based on multiple dimensions, such as performance indicators, operating conditions, service life, etc., to ensure that the selected parameters are representative and instructive, so as to provide actual reference and reference for the new design. According to the matched historical spindle response parameters, a spindle design plan is generated, which includes using historical parameters to guide the design direction of the new spindle, such as selecting materials, designing the size and shape of the spindle, and presetting load conditions. Finally, engineering analysis tools, such as finite element analysis, are applied to further optimize the design plan to ensure that the new spindle can meet the predetermined performance and reliability requirements.

[0107] Furthermore, the historical spindle response parameters are classified according to the design influencing factors to obtain the design factor classification results, and the transient response sub-model is constructed according to the design factor classification results. Each transient response sub-model selects high dynamic response adaptation data according to the precise dynamic response requirements, including:

[0108] According to the precision dynamic response requirements, the single parameter influencing characteristics are set for the single design parameters, and the single parameter influencing characteristics are the classification results of the design factors;

[0109] Based on the main shaft design database, a transient response sub-model is established according to the influence characteristics of individual parameters;

[0110] Each transient response sub-model generates a time adaptation weight according to the time axis of the acquired data, and selects high dynamic response adaptation data according to the time adaptation weight and the influence characteristics of the single parameter.

[0111] Specifically, the historical spindle response parameters are classified according to factors that affect the design, such as material strength, geometric dimensions, working environment, etc. The purpose of this step is to identify which factors have the greatest impact on the spindle performance, so that the subsequent sub-model construction is more targeted. Specific impact characteristics are defined for each design parameter. These characteristics are set according to the precision dynamic response requirements. For example, if the dynamic response requirements emphasize response speed, the speed-related parameter characteristics will be given priority consideration. The impact characteristics will be used for subsequent sub-model construction. Then, using the data in the spindle design database, transient response sub-models are constructed according to the single parameter impact characteristics set previously. These sub-models are able to simulate the performance of the spindle under specific conditions for each type of design factor. Time adaptation weights are generated for each sub-model. These weights are based on the time axis of data acquisition. Time adaptation weights and single parameter impact characteristics are used to select high dynamic response adaptation data suitable for current design requirements from the database.

[0112] Modify the spindle design plan according to the dynamic design reference and generate the spindle design final plan, including:

[0113] Analyze the initial performance of the spindle design plan according to the dynamic design reference, calculate the deviation between the spindle design plan and the dynamic design reference, and obtain the deviation analysis result;

[0114] Based on the deviation analysis results, the parameters of the spindle design plan are modified, and the final spindle design plan is generated through repeated evaluation and modification.

[0115] As a preferred embodiment of the above embodiment, the initial performance of the spindle design plan is first simulated by computer-aided software, which includes dynamic response analysis, strength testing and durability evaluation, etc. The simulation results are compared with the dynamic design reference, which includes predetermined performance indicators and operating conditions. The difference between the simulation results of the spindle design plan and the dynamic design reference is evaluated, which includes comparison of key performance parameters such as speed, response time, torque output, etc. Regression analysis can be used to quantify the deviation and obtain specific deviation analysis results. According to the deviation analysis results, the design parameters that need to be adjusted, such as material selection, geometric dimensions, load configuration, etc., are identified and adjusted. The performance of the revised design plan is simulated and evaluated again, the new simulation results are compared with the dynamic design reference, the deviation is calculated again, and further adjustments are made. This process may need to be repeated many times, and the design is refined each time until the plan meets all performance standards and the final spindle design plan is generated according to all standards.

[0116] Embodiment 2

[0117] Based on the same inventive concept as the high dynamic response spindle design method in the aforementioned embodiment, the present invention further provides a high dynamic response spindle design system, the system comprising:

[0118] The response model plan module obtains the historical spindle response parameters and the precision dynamic response requirements of the spindle to be designed, builds a transient response mother model based on the historical spindle response parameters, and generates a spindle design plan based on the transient response mother model;

[0119] The sub-model classification construction module classifies the historical spindle response parameters according to the design influencing factors, obtains the design factor classification results, and constructs the transient response sub-model according to the design factor classification results. Each transient response sub-model selects high dynamic response adaptation data according to the precision dynamic response requirements;

[0120] The dependency management design reference module performs response dependency management on the high dynamic response adaptation data corresponding to the transient response sub-model according to the precise dynamic response requirements to obtain the dynamic response design reference;

[0121] The design reference final case correction module corrects the spindle design plan according to the dynamic design reference and generates the spindle design final case.

[0122] The above-mentioned adjustment system in the present invention can effectively realize the high dynamic response spindle design method, and the technical effects that can be achieved are as described in the above-mentioned embodiments, which will not be repeated here.

[0123] Specifically, the dependency management design reference module includes:

[0124] A parameter weight allocation unit allocates parameter weights to each transient response sub-model according to the historical principal axis response parameters, wherein the parameter weights represent the dependence of the principal axis to be designed on the single design parameter;

[0125] The performance weight setting unit sets spindle performance weights for several individual performances of the spindle to be designed according to the precision motion requirements, and the spindle performance weights represent the dependence of the spindle to be designed on the individual performances;

[0126] Database establishment and scoring unit: establish a large database of spindle design, manage and analyze historical spindle response parameters to obtain parameter scores and performance scores;

[0127] The design reference calculation unit calculates and obtains the dynamic design reference based on the parameter weight and index weight as well as the parameter score and index score;

[0128] Similarly, the above-mentioned optimization schemes for the system can also respectively achieve the optimization effects corresponding to the method in Example 1, which will not be repeated here.

[0129] Although the present application has been described in conjunction with specific features and embodiments thereof, it is obvious that various modifications and combinations may be made thereto without departing from the spirit and scope of the present application. Accordingly, this specification and the accompanying drawings are merely exemplary illustrations of the present application as defined therein, and are deemed to have covered any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application is intended to include these modifications and variations.

Claims

1. A high dynamic response spindle design method, characterized in that: The method comprises: Obtain historical spindle response parameters and the precision dynamic response requirements of the spindle to be designed, construct a transient response mother model according to the historical spindle response parameters, and generate a spindle design plan according to the transient response mother model; Classifying the historical spindle response parameters according to the design influencing factors to obtain the design factor classification results, and constructing transient response sub-models according to the design factor classification results, each of the transient response sub-models selecting high dynamic response adaptation data according to the precision dynamic response requirements; Performing response dependency management on the high dynamic response adaptation data corresponding to the transient response sub-model according to the precise dynamic response requirement to obtain a dynamic response design reference; The method for obtaining the dynamic design reference is as follows: Allocating parameter weights to each of the transient response sub-models according to the historical principal axis response parameters, wherein the parameter weights represent the degree of dependence of the principal axis to be designed on a single design parameter; According to the precision motion requirements, spindle performance weights are set for several individual performances of the spindle to be designed, wherein the spindle performance weights represent the degree of dependence of the spindle to be designed on the individual performances; Establish a large database of spindle design, manage and analyze the historical spindle response parameters to obtain parameter scores and performance scores; The parameter score and the performance score are obtained as follows: According to the historical spindle response parameters, the historical precision motion response requirements and the inspection and maintenance information of the corresponding design spindle are obtained; Clustering the historical spindle response parameters according to the historical precision motion requirements and overhaul and maintenance information, and establishing the spindle design big database; Performing deep learning on the spindle design big database, and obtaining a first deep learning result and a second deep learning result according to the clustering of the historical precision motion requirements and the clustering of the repair and maintenance information respectively; Obtain the performance score based on the first deep learning result, by obtaining the deviation between the historical spindle requirement completion degree and the historical precision motion requirement; Obtain the parameter score based on the deviation between the historical spindle maintenance information and the single design parameter obtained according to the second deep learning result; Based on the parameter weights and the index weights and the parameter scores and the index scores, the response design reference is calculated; The dynamic design is obtained by referring to the following formula: ； Indicates the dynamic design reference, represents the parameter weight, represents the parameter score, represents the performance weight, represents said performance score; The spindle design plan is modified according to the dynamic design reference to generate a spindle design final plan.

2. The high dynamic response spindle design method according to claim 1, characterized in that: A transient response mother model is constructed according to the historical main axis response parameters, including: Collecting the historical spindle response parameters, constructing a spindle geometric representation according to the historical spindle response parameters, and performing finite grid division on the spindle geometric representation; According to the precise dynamic response requirements, the geometric representation of the main axis after finite grid division is defined to set dynamic boundary conditions, static boundary conditions and transient loads; The dynamic boundary conditions, the static boundary conditions and the transient load are loaded based on the principal axis geometric representation to obtain the transient response mother model.

3. The high dynamic response spindle design method according to claim 1, characterized in that: Performing response dependency management on the high dynamic response adaptation data corresponding to the transient response sub-model according to the precise dynamic response requirement includes: Creating an initial sub-model chain for a plurality of the transient response sub-models based on the precise dynamic response requirement of the main axis to be designed, and marking any of the transient response sub-models in the initial sub-model chain as a transient response anchor point; Comparing the dependencies of the plurality of transient response sub-models with the transient response sub-model marked as the transient response anchor point, and adjusting the relative positions of the plurality of transient response sub-models with the transient response sub-model marked as the transient response anchor point according to the comparison results, to obtain two unordered dependency sets; Unmarking the transient response anchor point, and selecting any of the transient response sub-models in the dependent unordered set to mark as the transient response anchor point, and comparing the dependency with the remaining transient response sub-models in the dependent unordered set, and adjusting the relative position of the transient response sub-model marked as the transient response anchor point according to the comparison result; Repeat the process of selecting the transient response anchor point and adjusting the relative position until the initial sub-model chain is a dependent ordered chain; The dependency is the dependency of the precision dynamic response requirement of the main axis to be designed on each of the transient response sub-models.

4. The high dynamic response spindle design method according to claim 3, characterized in that: Generate the main shaft design plan based on the transient response mother model, including: Setting a data collection time axis for the historical spindle response parameters based on the spindle design big database; Traversing the spindle design database according to the time axis of the collected data, and obtaining historical spindle response parameters that match the spindle to be designed; The spindle design plan is generated according to the matched historical spindle response parameters.

5. The high dynamic response spindle design method according to claim 4, characterized in that: The historical spindle response parameters are classified according to the design influencing factors to obtain the design factor classification results, and a transient response sub-model is constructed according to the design factor classification results. Each of the transient response sub-models selects high dynamic response adaptation data according to the precision dynamic response requirements, including: According to the precision dynamic response requirement of the spindle to be designed, a single parameter influencing feature is set for the single design parameter, and some of the single parameter influencing features are classification results of the design factors; Establishing the transient response sub-model based on the spindle design big database according to the single parameter influence characteristics; Each of the transient response sub-models generates a time adaptation weight according to the time axis of the acquired data, and selects high dynamic response adaptation data according to the time adaptation weight and the single parameter influence feature.

6. A high dynamic response spindle design system, characterized in that: According to the high dynamic response spindle design method as claimed in claim 1, the system comprises: A response model plan module obtains historical spindle response parameters and the precision dynamic response requirements of the spindle to be designed, builds a transient response mother model according to the historical spindle response parameters, and generates a spindle design plan according to the transient response mother model; A sub-model classification construction module is used to classify the historical spindle response parameters according to the design influencing factors, obtain the design factor classification results, and construct a transient response sub-model according to the design factor classification results, each of the transient response sub-models selects high dynamic response adaptation data according to the precision dynamic response requirements; A dependency management design reference module performs response dependency management on the high dynamic response adaptation data corresponding to the transient response sub-model according to the precise dynamic response requirement to obtain a dynamic response design reference; A design reference final case correction module is used to correct the spindle design plan according to the dynamic design reference to generate a spindle design final case; The dependency management design reference module includes: A parameter weight allocation unit, which allocates a parameter weight to each of the transient response sub-models according to the historical spindle response parameters, wherein the parameter weight represents the dependence of the spindle to be designed on a single design parameter; A performance weight setting unit, which sets spindle performance weights for a plurality of individual performances of the spindle to be designed according to the precision motion requirement, wherein the spindle performance weights represent the degree of dependence of the spindle to be designed on the individual performances; A database establishment and scoring unit is used to establish a large spindle design database, manage and analyze the historical spindle response parameters to obtain parameter scores and performance scores; The design reference calculation unit calculates and obtains the impact design reference based on the parameter weight and the index weight as well as the parameter score and the index score.

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