Forward design method for machine tool

Abstract

Provided in the present application is a forward design method for a machine tool. The method comprises: acquiring precision parameters of an object to be machined, constructing a design parameter tree of a machine tool on the basis of the precision parameters, and determining initial values of parameters in the design parameter tree; on the basis of the design parameter tree, constructing a parameter allocation model corresponding to the machine tool, and determining theoretical values corresponding to the parameters; on the basis of the theoretical values of the parameters, drawing a parametric physical three-dimensional model of the entire machine tool, and simulating the parameters in the physical three-dimensional model to determine optimized values corresponding to the parameters; on the basis of the optimized values of the parameters, assembling parts and components in the machine tool, and determining measured values corresponding to the parameters; and on the basis of comparison results between the measured values of the parameters, the optimized values of the parameters and the theoretical values of the parameters, determining correction values corresponding to the parameters in the design parameter tree. The technical solution of the present application can realize forward design of machine tool parameters on the basis of precision parameters of an object to be machined, thereby avoiding unnecessary expenditure during the design of high-precision machine tools.

Description

Machine tool forward design method

[0001] Cross-reference to Related Applications

[0002] This application claims priority to Chinese Patent Application No. 202410648618.2, filed May 23, 2024, entitled “Machine tool forward design method,” which is incorporated by reference herein in its entirety. TECHNICAL FIELD

[0003] The present application relates to the field of machine tool machining technology, in particular to a machine tool forward design method. BACKGROUND

[0004] In the field of machine tool machining, machine tools are usually obtained by assembling parts or components, and parts or components are usually obtained by machine tool machining. The precision of the designed machine tool will determine the precision of the machined parts or components to some extent, that is, in order to machine high-precision parts, a high-precision machine tool is generally needed for machining.

[0005] In related technologies, when designing a high-precision machine tool, the relevant parameters of the existing high-precision machine tool are usually measured, and then the parts and components of the corresponding precision are designed by comparing the precision of these parameters. Then, the high-precision machine tool is obtained by assembling these parts and components.

[0006] However, the above-mentioned method of designing a high-precision machine tool is a reverse design method, and the machine tool designed by this method may have problems of cost waste or insufficient precision. Therefore, there is an urgent need for a forward design method for machine tools. SUMMARY

[0007] To solve the technical problems existing in the prior art, the present application provides a machine tool forward design method.

[0008] The present application provides a machine tool forward design method, comprising:

[0009] Obtaining the precision parameters of the object to be machined, and constructing a design parameter tree of the machine tool according to the precision parameters and determining the initial values of each parameter in the design parameter tree; the design parameter tree includes each parameter and the correlation between each parameter;

[0010] Constructing a parameter allocation model corresponding to the machine tool according to the design parameter tree, and performing theoretical calculation on each parameter in the parameter allocation model to determine the theoretical values of each parameter;

[0011] Drawing a physical three-dimensional model of the machine tool according to the theoretical values of each parameter, and simulating each parameter in the physical three-dimensional model according to the initial values of each parameter to determine the optimized values of each parameter;

[0012] Assemble the parts and components in the machine tool according to the optimized values of the parameters, and measure the parameters during the assembly process to determine the measured values corresponding to the parameters;

[0013] According to the comparison results between the measured values of the parameters, the optimized values of the parameters, and the theoretical values of the parameters, determine the correction values corresponding to the parameters in the design parameter tree.

[0014] According to the machine tool forward design method provided by the present application, the simulation of the parameters in the physical three-dimensional model according to the initial values of the parameters to determine the optimized values corresponding to the parameters includes:

[0015] According to the physical three-dimensional model, a simulation calculation model under a thermal fluid-solid physical field is constructed, and the simulation calculation of the parameters in the simulation calculation model is performed using the initial values of the parameters to determine the optimized values corresponding to the parameters;

[0016] The simulation calculation model includes a single-field simulation calculation model and / or a coupled-field simulation calculation model. The single-field simulation calculation model is used to simulate and calculate the parameter values of the machine tool under at least one physical field of a structural field, a fluid field, and a heat transfer field. The coupled-field simulation model is used to simulate and calculate the parameter values of the machine tool under the coupling of at least two physical fields of a structural field, a fluid field, and a heat transfer field.

[0017] According to the machine tool forward design method provided by the present application, the parameters in the design parameter tree include core physical parameters of the machine tool and bottom-layer design parameters of the machine tool, and the initial values of the parameters include at least two groups of initial values corresponding to the bottom-layer design parameters. The simulation calculation of the parameters in the simulation calculation model using the initial values of the parameters to determine the optimized values corresponding to the parameters includes:

[0018] The core physical parameters in the simulation calculation model are simulated respectively using each group of initial values of the bottom-layer design parameters to determine each group of simulation values corresponding to the core physical parameters;

[0019] The optimal simulation value in each group of simulation values is determined as the optimized value corresponding to the core physical parameters, and a group of initial values corresponding to the optimized value of the core physical parameters is determined as the optimized value corresponding to the bottom-layer design parameters.

[0020] According to the machine tool forward design method provided by the present application, the parameters in the design parameter tree include key performance parameters of the machine tool, core physical parameters of the machine tool, and bottom-layer design parameters of the machine tool. The assembly of the parts and components in the machine tool according to the optimized values of the parameters, and the measurement of the parameters during the assembly process to determine the measured values corresponding to the parameters includes:

[0021] Assembling the parts and components in the machine tool according to the optimized values of the core physical property parameters and the optimized values of the bottom layer design parameters, and measuring the key performance parameters and the core physical property parameters of the installed components during each assembly process to determine at least one set of predicted values corresponding to the key performance parameters and at least one set of predicted values corresponding to the core physical property parameters;

[0022] Building an error transfer model according to the at least one set of predicted values of the key performance parameters and the at least one set of predicted values of the core physical property parameters, and optimizing the assembly process of the machine tool according to the error transfer model;

[0023] Assembling the parts and components in the machine tool according to the optimized assembly process, and measuring the key performance parameters of the installed components during the assembly process to determine the measured values of the key performance parameters and the measured values of the core physical property parameters.

[0024] According to the machine tool forward design method provided in the present application, the comparison results between the measured values of each parameter, the optimized values of each parameter and the theoretical values of each parameter are used to determine the correction values of each parameter in the design parameter tree, including:

[0025] Comparing the measured values of the key performance parameters with the theoretical values of the key performance parameters, and comparing the measured values of the core physical property parameters with the optimized values of the core physical property parameters;

[0026] If the measured values of the key performance parameters do not meet the theoretical values of the key performance parameters, the parameter allocation model and each parameter therein are corrected or error compensated according to the measured values of the key performance parameters to determine the correction values of each parameter in the design parameter tree;

[0027] And / or, if the measured values of the core physical property parameters do not meet the optimized values of the core physical property parameters, the simulation calculation model corresponding to the physical three-dimensional model and each parameter therein are corrected or error compensated according to the measured values of the core physical property parameters to determine the correction values of each parameter in the design parameter tree.

[0028] According to the machine tool forward design method provided in the present application, each parameter in the design parameter tree includes the key performance parameters of the machine tool, the core physical property parameters of the machine tool and the bottom layer design parameters of the machine tool, the key performance parameters include the overall performance parameters, the component performance parameters and the part joint performance parameters, and the component performance parameters include the linear shaft performance parameters and the rotary shaft performance parameters.

[0029] According to the machine tool forward design method provided in the present application, the parameter allocation model includes a mapping model, an analytical model and a correlation model;

[0030] The mapping model is used to establish a mapping relationship between the precision parameter of the object to be processed and the whole machine performance parameter, and a mapping relationship between the whole machine performance parameter and the component performance parameter.

[0031] The analysis model is used to establish an analysis calculation of the joint performance parameter and the core physical property parameter, an analysis calculation of the component performance parameter and the core physical property parameter, and an analysis calculation of the whole machine performance parameter and the core physical property parameter.

[0032] The correlation model is used to establish a correlation relationship between the core physical property parameter and the bottom layer design parameter.

[0033] According to the machine tool forward design method provided in the application, the physical three-dimensional model includes a physical three-dimensional model parameterized to the structure size of the parts, components and whole machine in the machine tool, and / or a physical three-dimensional model parameterized to the assembly size of the components and whole machine in the machine tool.

[0034] According to the machine tool forward design method provided in the application, the simulation calculation model further includes parameter matching optimization calculation under different scales of the machine tool from parts to components to whole machine.

[0035] The parameter matching optimization calculation under different scales includes at least two of the following: joint deformation optimization of micro-size ≤0.1 μm, part deformation optimization of meso-size 0.1 μm to 100 μm, and whole machine deformation optimization of macro-size ≥100 μm.

[0036] According to the machine tool forward design method provided in the application, the joint includes at least one of the following: bolt pre-tightening joint surface, gas-solid joint surface, liquid-solid joint surface, electromechanical coupling joint surface, electromagnetic joint surface, adhesive joint surface and interference fit joint surface.

[0037] The application also provides a machine tool forward design device, comprising:

[0038] An initial value determination module is configured to obtain the precision parameter of the object to be processed, and construct a design parameter tree of the machine tool and determine initial values of parameters in the design parameter tree according to the precision parameter; the design parameter tree includes parameters and correlation relationships between the parameters;

[0039] A parameter allocation module is configured to construct a parameter allocation model corresponding to the machine tool according to the design parameter tree, and perform theoretical calculation on each parameter in the parameter allocation model to determine theoretical values corresponding to the parameters;

[0040] A simulation calculation module is configured to draw a physical three-dimensional model of the whole machine of the machine tool according to the theoretical values of the parameters, and perform simulation on each parameter in the physical three-dimensional model according to the initial values of the parameters to determine optimized values corresponding to the parameters;

[0041] a measuring module configured to assemble parts and components in the machine tool according to the optimized values of the parameters, and measure the parameters during the assembly process to determine measurement values of the parameters;

[0042] a correcting module configured to determine correction values of the parameters in the design parameter tree according to comparison results among the measurement values of the parameters, the optimized values of the parameters, and the theoretical values of the parameters.

[0043] The application also provides an electronic device, which comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the machine tool forward design method according to any one of the above when executing the program.

[0044] The application also provides a non-transitory computer readable storage medium, which stores a computer program, and the computer program is executable on a processor to implement the machine tool forward design method according to any one of the above.

[0045] The application also provides a computer program product, which comprises a computer program, and the computer program is executable on a processor to implement the machine tool forward design method according to any one of the above.

[0046] The machine tool forward design method provided by the application comprises the following steps: obtaining precision parameters of a to-be-processed object, constructing a design parameter tree of a machine tool according to the precision parameters and determining initial values of parameters in the design parameter tree, constructing a parameter distribution model according to the design parameter tree and performing theoretical calculation, drawing a physical three-dimensional model of the machine tool according to the theoretical values of the parameters and performing simulation on the physical three-dimensional model according to the initial values to determine optimized values of the parameters, assembling parts and components in the machine tool according to the optimized values of the parameters and measuring to obtain measurement values of the parameters, and determining correction values of the parameters according to comparison results among the measurement values, the optimized values, and the theoretical values of the parameters. In the method, the theoretical value calculation, simulation calculation, and assembly test measurement of the machine tool are performed in a forward direction based on the precision parameters of the to-be-processed object to obtain the parameter values of the designed machine tool, forming a top-down design closed loop, which is no longer consistent with the imitation design process in the traditional design mode, breaks through the conventional machine tool design form, conforms to the forward design concept of the machine tool, and truly realizes the forward design of the machine tool. Meanwhile, the design parameters of the machine tool obtained through the forward design concept will not change due to different designers, which can not only improve the design precision of the machine tool, but also reduce the technical uncertainty in the design and processing process, thereby avoiding the over-high or unsatisfactory use requirement caused by the definition of the design parameter precision according to the experience value, and reducing the test cost waste. BRIEF DESCRIPTION OF DRAWINGS

[0047] In order to more clearly illustrate the technical solutions in the application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor.

[0048] Fig. 1 is a flowchart of the machine tool forward design method provided by the application.

[0049] Fig. 2 is a whole flowchart of the machine tool design and manufacturing provided by the application.

[0050] Fig. 3 is a schematic diagram of the parameter allocation model of the machine tool provided by the application.

[0051] Fig. 4 is a schematic diagram of the feedback mechanism parameter cycle of the machine tool provided by the application.

[0052] Fig. 5 is a flowchart of the simulation calculation model of the machine tool provided by the application.

[0053] Fig. 6 is a flowchart of the error transmission model of the machine tool provided by the application.

[0054] Fig. 7 is a structural schematic diagram of the machine tool forward design device provided by the application.

[0055] Fig. 8 is a structural schematic diagram of the electronic device provided by the application. DETAILED DESCRIPTION

[0056] In order to make the purpose, technical solutions and advantages of the application more clear, the technical solutions in the application will be described clearly and completely in the following with reference to the drawings in the application. Obviously, the described embodiments are some embodiments of the application, but not all the embodiments. Based on the embodiments in the application, all the other embodiments obtained by those skilled in the art without creative labor belong to the protection scope of the application.

[0057] At present, the research and development of high-end numerical control machine tool equipment mainly adopts the strategy of following and imitation. Most enterprises only have reverse engineering capability, and it is difficult to produce innovative design. The function and performance of the product are not as good as the imitation object. Long-term tracking and imitation and reverse design make the design personnel have a conservative mentality, and the product innovation lacks the theory and practice of forward design. Compared with the past enterprise benchmarking research and development and reverse engineering thinking, in order to fundamentally solve the problems in the research and development of complex equipment and better realize innovation, break the concept and habit of the past reverse thinking, solve the problems of weak core technology and lack of common technology, it is necessary to establish a suitable forward design method starting from demand and architecture, and truly realize disruptive innovation.

[0058] Specifically, the current machine tool autonomous innovation design capability is relatively low, the forward design of the machine tool lacks a complete design method, the earliest machine tool structure design mainly relies on traditional experience and imitation of foreign machine tool structure, the performance of the machine tool is mainly determined by the experience and level of the designer, and the research and development cycle is long and the efficiency is low, and there are a large number of technical uncertainties in the design, and the bottom theory calculation and simulation analysis in the design process are not integrated into the research and development design activities. Especially for the current domestic ultra-precision machine tool, the fluid static pressure support method is generally used for the movement parts of the ultra-precision machine tool, whether it is a gas static pressure structure or a linear shaft or rotary shaft of the fluid static pressure structure, the precision requirement is very high, the precision requirement between the shafts of the movement parts is also high, and the ultra-precision machine tool is sensitive to the precision change of the assembly process and the external temperature, there are many uncertainties and it is impossible to establish the relationship between them, therefore, the designer cannot guarantee whether the design precision of each part of the machine tool meets the requirements at the beginning of designing the machine tool, and when facing different machining object precision, it is not clear how much the design precision of the machine tool and the key components can meet the machining precision of the machining object, often resulting in waste of machining cost due to overdesign of the parts, or the design precision of the parts is too low to meet the machining requirements, and it is impossible to design a machine tool that meets the precision requirements from the top-level requirements. In order to reduce the propagation of uncertainties in the design and form a complete top-down design of theory and practice, it is urgent to develop a forward design method suitable for the research and development of ultra-precision machine tools. Based on this, the embodiment of the present application provides a machine tool forward design method, which can solve the technical problem.

[0059] The machine tool forward design method of the embodiment of the present application is described below in combination with FIGS. 1-6.

[0060] FIG. 1 is a flowchart of the machine tool forward design method provided by the present application, and FIG. 2 is a whole flowchart of the machine tool design and manufacturing provided by the present application. Referring to FIGS. 1 and 2, the method can include the following S102-S110.

[0061] S102, obtaining the precision parameters of the machining object, and constructing a design parameter tree of the machine tool and determining the initial values of the parameters in the design parameter tree according to the precision parameters; the design parameter tree includes the parameters and the correlation between the parameters.

[0062] The machining object refers to the object that can be machined by the designed machine tool, such as the parts or components to be machined in the field of aerospace, etc. The precision requirement of the machining object is generally high, so a high-precision machine tool needs to be designed to produce or machine the machining object. The precision parameters of the machining object can also be referred to as the precision requirements of the machining object, which can include the surface accuracy, waviness, roughness and specific precision parameter values of the machining object.

[0063] In this step, the precision parameters of the object to be processed can be obtained in advance, and then a design parameter tree of the machine tool is constructed from top to bottom based on the precision parameters, wherein the design parameter tree includes parameters and the correlation between the parameters. As an option, the parameters in the design parameter tree include but are not limited to: key performance parameters of the machine tool, core physical parameters of the machine tool, and bottom layer design parameters of the machine tool. The design parameter tree constructed from top to bottom, i.e., the parameters of the design are in turn from the key performance parameters at the top layer to the core physical parameters and then to the bottom layer design parameters at the bottom layer, which conforms to the forward design idea.

[0064] Optionally, the above-mentioned key performance parameters represent the performance parameters of the key components or the whole machine tool, which can include but are not limited to: whole machine performance parameters, component performance parameters, and part joint performance parameters. The whole machine performance parameters can include but are not limited to: the diameter of the object to be processed, system resolution, multi-axis linkage accuracy, comprehensive stiffness, tool tip motion accuracy, etc. The component performance parameters can include linear axis performance parameters and rotary axis performance parameters, wherein the linear axis performance parameters can include but are not limited to: stroke, motion speed, straightness, positioning accuracy, repeat positioning accuracy, hardness, flatness, perpendicularity, and roundness; the rotary axis performance parameters can include but are not limited to: rotational speed, rotary accuracy, rotary positioning accuracy.

[0065] The above-mentioned core physical parameters represent the physical properties of the machine tool, which can include but are not limited to: static stiffness, dynamic stiffness, angular stiffness, thermal stiffness, bearing stiffness, cutting depth, pressure, flow, dynamic balance coefficient, etc. The static stiffness is divided into: whole machine, component, joint, and part; the dynamic stiffness is divided into: whole machine, component, and joint; the angular stiffness is divided into: component and joint.

[0066] The above-mentioned bottom layer design parameters represent the corresponding design parameters on the drawing during the design of the machine tool, which can generally include structure parameters, motion parameters, inertia parameters, throttling parameters, thermal parameters, and material property parameters, and can also be described from the dimension of whole machine design parameters, component design parameters, and other design parameters. The whole machine design parameters can include but are not limited to: inter-axis distance of the motion component, bed structure size, vibration isolation system layout size, and tool tip center height; the component design parameters can include but are not limited to: fluid medium inlet pressure, throttling device structure size, throttling device layout size, throttling device gap, bearing surface gap, bearing area, shaft diameter, and layout size of the hydrostatic bearing; the other design parameters can include but are not limited to: material mechanics parameters and material thermal characteristic parameters.

[0067] After the design parameter tree of the machine tool is designed from top to bottom, the initial values of the parameters can be found from the machine tool processing manual according to the precision parameters of the object to be processed, or the initial values of the parameters can be set according to experience. Alternatively, the initial values of the parameters here can be a certain parameter value, or a parameter value range. For the case of a parameter value range, the initial values of the parameters can include multiple sets of initial values, and each set of initial values can be a certain parameter value.

[0068] In S104, a parameter distribution model corresponding to the machine tool is constructed according to the design parameter tree, and each parameter in the parameter distribution model is theoretically calculated to determine the theoretical value corresponding to each parameter.

[0069] After the constructed design parameter tree from top to bottom is obtained, a parameter distribution model can be constructed based on the parameters in the design parameter tree. The parameter distribution model is mainly used for parameter value distribution of each parameter in the design parameter tree.

[0070] Alternatively, the above-mentioned parameter distribution model includes a mapping model, an analytical model and a correlation model. As mentioned above, the key performance parameters include the overall performance parameters, the component performance parameters and the joint performance parameters. The above-mentioned mapping model is used to establish the mapping relationship between the precision parameters of the object to be processed and the overall performance parameters, and the mapping relationship between the overall performance parameters and the component performance parameters. The above-mentioned analytical model is used to establish the analytical calculation of the joint performance parameters and the core physical parameters, the analytical calculation of the component performance parameters and the core physical parameters, and the analytical calculation of the overall performance parameters and the core physical parameters. The above-mentioned correlation model is used to establish the correlation between the core physical parameters and the bottom layer design parameters.

[0071] Specifically, referring to the schematic diagram of the parameter distribution model shown in FIG. 3, the mapping model, the analysis model and the correlation model can be constructed from top to bottom based on the design parameter tree, that is, the mapping model between the precision parameters of the object to be processed and the key performance parameters can be established first, that is, the key performance parameters are mapped from the precision parameters of the object to be processed, the component performance parameters are mapped from the key performance parameters, and the joint performance parameters of the parts are mapped from the component performance parameters. Then the analysis model between the key performance parameters and the core physical parameters is established, that is, the core physical parameters are obtained by analyzing and calculating the joint performance parameters of the parts in the key performance parameters, the core physical parameters are obtained by analyzing and calculating the component performance parameters in the key performance parameters, and the core physical parameters are obtained by analyzing and calculating the key performance parameters in the key performance parameters. Then the correlation model between the core physical parameters and the bottom layer design parameters is established, that is, the correlation process between the core physical parameters and the bottom layer design parameters is established. The correlation model here can include, for example, a stiffness change model, a multi-body dynamics model, a linear dynamics model, a joint force transmission model, a thermal change model and a material constitutive model, etc.

[0072] After the top-down mapping model, analysis model and correlation model are constructed, the theoretical values of the parameters in the parameter distribution model can be calculated, such as using existing related calculation methods for theoretical calculation, and the theoretical values of the parameters in the parameter distribution model are calculated in sequence according to the relationship between the parameters in the parameter distribution model.

[0073] Further, after the above-mentioned parameter distribution model is constructed, the parameters of the machine tool can also be verified whether they meet the precision parameter requirements of the object to be processed through a reverse or inverse calculation process. For example, the bottom layer design parameters can be obtained by mechanism analysis through elastoplastic statics theory, dynamics theory, fluid lubrication theory, thermal theory and material removal theory, and then the core physical parameters are determined through the correlation model, the key performance parameters are calculated through the analysis model, and finally the precision parameters of the object to be processed are calculated through the mapping model, so as to realize reverse verification.

[0074] For example, taking a super-precision machine tool as an example, the stiffness chain of the super-precision machine tool processing sensitive direction can be decomposed, the stiffness of the super-precision machine tool system can be studied from various scale stiffness composition factors, the design model of each scale key stiffness can be established, the system overall stiffness mathematical model with multi-scale characteristics can be fused, the law of the change of the stiffness of the super-precision machine tool with the stiffness chain composed of each component and the joint surface between components in the working space can be studied, and the bottom layer design parameters of the stiffness optimization are determined to guide the stiffness design of the super-precision machine tool.

[0075] The thermal resistance, thermal capacity and thermal radiation characteristics of machine tool components and joints are studied, and the multi-scale thermal characteristics of the machine tool after the thermal source diffuses through the components and the micro-joints between the components are summarized. Through multi-scale coupling analysis of thermal characteristics, the error of thermal problem analysis is reduced, the spatio-temporal distribution of thermal characteristics of ultra-precision machine tools and the influence of thermal-mechanical coupling on precision are obtained, the theoretical basis and analysis data for thermal cooling design are provided, and the thermal design and component selection of ultra-precision machine tools are guided.

[0076] According to the fluid lubrication theory and the Reynolds equation, a mathematical and physical model of the pressure change of the flow field in the key components including the throttling device is constructed, so as to obtain the fluid motion characteristics in the micro, meso and macro spatial scales, master the influence law of the inlet and outlet pressure ratio and the structure size on the flow field, and explore the influence of the joint bearing capacity and stiffness by studying the pressure-velocity gradient change in the flow field. The flow calculation model of the gas-solid joint and the fluid-solid joint is established, the influence of the pressure change and temperature change in the flow field on the surface micro-precision of the solid contact layer is summarized, and the bidirectional action calculation model of the fluid-solid coupling is established to reduce the micro-vibration caused by the dynamic excitation of the fluid and solid boundary, so as to improve the key performance parameters such as rotation accuracy and guide rail straightness accuracy.

[0077] The process part studies the modeling of the dynamic cutting system and the prediction of the topography formation, explains the influence of various dynamic factors on the surface topography and texture in the cutting process, establishes the mapping of the dynamic cutting system characteristics and the surface topography, and studies the micro-nano dynamic cutting process under the action of various linear and nonlinear factors: by introducing various dynamic factors such as chatter, tool wear, built-up edge, material unevenness, foundation vibration, gas pressure fluctuation and feed shaft vibration into the classical theoretical cutting force model, an integrated model of the micro-nano dynamic cutting system is constructed, a machine tool cutting system model is established based on the influence law of the process parameters and tool parameters on the surface performance of the object to be processed, and a process parameter inverse model is further established to inversely solve the performance indicators that meet the processing requirements and establish the related cutting process that can meet the processing requirements.

[0078] S106, according to the theoretical values of each parameter, a physical three-dimensional model of the machine tool is drawn, and each parameter in the physical three-dimensional model is simulated according to the initial values of each parameter to determine the optimized values corresponding to each parameter.

[0079] In this step, after obtaining the theoretical values of the parameters in the above parameter allocation model, the generated key component or whole machine model parameters can be preliminarily physically modeled, and the physical model is parameterized. Specifically, a three-dimensional drawing software (such as solidworks, UG, CATIA, Creo, etc.) can be used to draw a physical three-dimensional model of the machine tool whole machine according to the theoretical values of each parameter. Here, when drawing, for example, the physical three-dimensional model of the machine tool whole machine can be drawn based on the bottom layer design parameters, and then the parts or components are assembled step by step to obtain the whole machine.

[0080] It should be noted that the physical three-dimensional model of the machine tool whole machine drawn here is a parameterized physical three-dimensional model. Alternatively, the above physical three-dimensional model includes a physical three-dimensional model parameterized on the structural dimensions of the parts, components and whole machine in the machine tool, and / or a physical three-dimensional model parameterized on the assembly dimensions of the components and whole machine in the machine tool. Of course, it can also include component structural dimensions and assembly dimensions

[0081] That is, the structural dimensions and assembly dimensions of the physical three-dimensional model here are variable / adjustable, that is, as the target values of the core physical property parameters of the bottom layer design parameters change, the structural dimensions (such as the parameter values of the parts) of the parts, components and whole machine in the physical three-dimensional model here can also be adjusted or changed, and the assembly dimensions (such as the assembly distance between components) of the components and whole machine can also be adjusted or changed. Among them, the variable of the structural dimension mainly represents that the shape of the part or component or the whole machine is variable, and the variable of the assembly dimension mainly represents that the positional relationship between the parts or components is variable, so that the assembly dimension variable component or whole machine can be obtained. In this way, the design of the components or whole machine of the machine tool can be dynamically adjusted.

[0082] After obtaining the parameterized physical three-dimensional model of the machine tool whole machine, simulation calculation can be performed on the basis of the parameterized physical three-dimensional model with variable key design parameters. The simulation calculation here can include single-field simulation verification, multi-field simulation coupling physical simulation, etc. Finally, the detailed structure and optimal size of the components and whole machine are obtained through simulation, the optimization values of each parameter are obtained, and the traditional design process in the past is replaced by repeated trial method.

[0083] S108, according to the optimization values of each parameter, the parts and components in the machine tool are assembled, and each parameter is measured during the assembly process to determine the measurement value corresponding to each parameter.

[0084] In this step, after obtaining the optimized values of the parameters in the design parameter tree, the parts and components can be assembled according to the optimized values of the parameters, and during the assembly process, the values of the parameters in the design parameter tree can be measured every time a part or component is added. Finally, after the whole machine assembly test is completed, the measured values of the parameters in the design parameter tree can be obtained.

[0085] For example, taking a guide rail as an example, the key parts in the guide rail component include a guide rail base, a guide rail pressing plate and a guide rail sliding plate. The guide rail base is a basic part, the guide rail sliding plate is driven by a liquid slider to be installed between the guide rail base and the guide rail pressing plate to form a linear shaft. In addition to analyzing the influence of the dimensional error and the shape error of each single part in the guide rail on the precision after assembly, it is also necessary to analyze the influence of the installation process on the performance parameters of the assembled guide rail component every time a part is added during the assembly process based on the guide rail base.

[0086] Further, the guide rail pressing plate is installed on the guide rail base through bolts, the straightness of the guide rail pressing plate is measured, the influence of the guide rail base and the guide rail pressing plate parts under different geometric tolerances on the straightness precision of the assembled guide rail pressing plate is calculated, and the influence of the bolt installation method on the straightness precision of the assembled pressing plate is observed. Whether it is necessary to adjust the machining tolerance requirements of the parts or to adjust the bolt installation position and pre-tightening force. Every time a part is added, the installed component is measured, thereby observing the relationship between the fixed installation process in the mating surface and the precision after installation, considering whether it is necessary to further improve the geometric tolerance of the parts or to change the installation process of the joint surface to meet the precision requirements after this step of assembly.

[0087] S110, according to the comparison results between the measured values of the parameters, the optimized values of the parameters and the theoretical values of the parameters, determine the correction values corresponding to the parameters in the design parameter tree.

[0088] In this step, after the measured values of the parameters in the above assembly test are obtained, the measured values of the parameters and the corresponding optimized values can be compared to determine whether the measured values of the parameters and the corresponding optimized values are consistent or close, and / or the measured values of the parameters and the corresponding theoretical values can be compared to determine whether the measured values of the parameters and the corresponding theoretical values are consistent or close. Through the comparison results, it can be verified whether there is an error in the parameter allocation model and the physical three-dimensional model simulation process. If there is an error, the error of the measured values can be fed back to the parameter allocation model and the physical three-dimensional model simulation process, and the formula and the value of the parameters in the parameter allocation model and the physical three-dimensional model simulation process are corrected to obtain the correction values of the parameters.

[0089] Of course, referring to the feedback mechanism parameter cycle diagram shown in Figure 4, the target value of the parameter refers to the parameter value corresponding to the precision parameter of the object to be processed. The error of the measured value can be used to correct or compensate for the parameters in the entire machine tool design process, so as to form a correction feedback mechanism between the theoretical calculation and the test results (test values) to design a machine tool that meets the precision parameter requirements of the object to be processed. Finally, the corrected values of the parameters can be used for the machining and manufacturing of all parts and components of the machine tool, and the precision parameters of the machine tool to be processed are verified to meet the requirements.

[0090] The above machine tool forward design method, by obtaining the precision parameter of the object to be processed, constructing the design parameter tree of the machine tool according to the precision parameter and determining the initial value of each parameter in the design parameter tree, then constructing the parameter allocation model according to the design parameter tree and performing theoretical calculation, and drawing the parameterized physical three-dimensional model of the machine tool according to the theoretical value of each parameter and simulating the physical three-dimensional model according to the initial value to determine the optimized value of each parameter, then assembling the parts in the machine tool according to the optimized value of each parameter and measuring to obtain the measured value of each parameter, and finally determining the correction value of each parameter according to the comparison result between the measured value, the optimized value and the theoretical value of each parameter of the machine tool. In this method, the theoretical value calculation, simulation calculation and assembly test measurement of the machine tool can be performed based on the precision parameter of the object to be processed to obtain the parameter value of the designed machine tool, forming a top-down design closed loop, which is no longer consistent with the traditional design process of imitation design, breaking through the conventional machine tool design form, meeting the forward design concept of machine tool, and truly realizing the forward design of machine tool. At the same time, the design parameters of the machine tool obtained through the forward design concept will not change due to the difference of the designers, which can not only improve the design accuracy of the machine tool, but also reduce the technical uncertainty in the design and processing process, so as to avoid the situation that the design parameter accuracy is defined according to the experience value and does not meet the use requirements, and reduce the waste of test cost.

[0091] The following embodiment describes the simulation calculation process of the parameterized physical three-dimensional model.

[0092] In one embodiment, the simulation of each parameter in the physical three-dimensional model according to the initial value of each parameter in S106 to determine the optimized value corresponding to each parameter can include the following step A.

[0093] Step A, constructing a simulation calculation model under thermal fluid-solid physical field according to the physical three-dimensional model, and simulating each parameter in the simulation calculation model using the initial value of each parameter to determine the optimized value corresponding to each parameter.

[0094] The simulation calculation model includes a single-field simulation calculation model and / or a coupled-field simulation calculation model, the single-field simulation calculation model is used for simulating and calculating parameter values of the machine tool in at least one physical field of a structure field, a fluid field and a heat transfer field, and the coupled-field simulation model is used for simulating and calculating parameter values of the machine tool in a coupling condition of at least two physical fields of the structure field, the fluid field and the heat transfer field.

[0095] Referring to the flow diagram of the simulation calculation model shown in FIG. 5, after obtaining the parameterized physical three-dimensional model of the machine tool, a single physical field or coupled physical field (i.e., multi-physical field) simulation calculation model of the machine tool can be constructed, which can include multi-physical field coupling calculation of fluid-structure simulation optimization, thermal-structure simulation optimization, thermal-fluid-structure simulation optimization of key parts and components; and can also include single-field simulation calculation of structure deformation, fluid deformation and thermal deformation of the machine tool, such as specifically including statics simulation, linear dynamics simulation, multi-body dynamics simulation, transient mechanics simulation, rigid-flexible coupling simulation, internal and external flow field simulation, heat transfer simulation and cutting process simulation.

[0096] The single-field (which can also be referred to as structure single field) simulation calculation of the structure deformation can include: obtaining detailed structure forms, sizes and assembly relationships of key components and the whole machine through mechanics simulation, and calculating and verifying static stiffness and dynamic stiffness of the key components and the whole machine after completion of the simulation, so that the structure forms and sizes of the whole machine or components after completion of the simulation optimization meet the performance index requirements.

[0097] The single-field (which can also be referred to as fluid single field) simulation calculation of the fluid deformation can include: using fluid joint motion forms in the motion unit of the ultra-precision machine tool, typical forms are gas static pressure spindles and liquid static pressure guides, in the fluid simulation, by changing the inlet and outlet structure forms, gas film thickness and inlet and outlet pressure of the spindle bearing unit and the guide slide unit, the stiffness and load capacity of the spindle and the guide unit are improved, and the instability between the fluid-structure joint surfaces is reduced.

[0098] The single-field (which can also be referred to as thermal stability single field) simulation calculation of the thermal deformation can include: simulating the influence of internal heat sources and external heat sources on the accuracy of the machine tool, establishing a thermal-structure coupling simulation model, taking finite element simulation as a reference to establish an error database of an offline part, and compensating for the thermal error of the machine tool.

[0099] The multi-physical field coupling (which can also be referred to as coupled multi-field) simulation calculation can include: after completing the respective single physical field simulation calculation of the structure, fluid, and heat transfer from the part level, component level, and whole machine level, based on the single physical field calculation process and results, for the key components of the spindle and guide rail, the cross-scale (i.e., multi-scale) coupled field simulation is carried out, the spindle component motor heat deformation thermal-solid coupling analysis and the flow-solid coupling analysis of the guide rail component throttling performance are focused on, and the bottom layer design parameters and structure size, assembly size parameters of the core parts in the key components are optimized.

[0100] Optionally, the simulation calculation model described above further includes parameter matching optimization calculation under different scales of the machine tool from parts to components to whole machines; that is, the simulation calculation model described above can also perform parameter matching optimization calculation under different scales of parts, components, and whole machines, i.e., multi-scale optimization. Specifically, it can include: joint bearing capacity stiffness optimization, part structure topology optimization, boundary condition optimization, environmental parameter optimization, component and whole machine layout optimization, process parameter optimization, etc. It can be understood that the simulation calculation model described above can also be referred to as a multi-scale / cross-scale simulation calculation model. The parameter matching optimization calculation under different scales includes at least two of the following: joint deformation optimization of a micro-scale of ≤0.1 μm, part deformation optimization of a meso-scale of 0.1 μm to 100 μm, and whole machine deformation optimization of a macro-scale of ≥100 μm. Optionally, the joint described above includes at least one of the following: a bolt pre-tightening joint surface, a gas-solid joint surface, a liquid-solid joint surface, an electromechanical coupling joint surface, an electromagnetic joint surface, a glue joint surface, and an interference fit joint surface.

[0101] In the embodiment, the design parameters of the machine tool are simulated by constructing a simulation calculation model of a parameterized physical three-dimensional model, so that the detailed structure and optimal size of the parts and the whole machine can be obtained through simulation, instead of the traditional design process which relies on repeated tests, thereby saving the design cost of the machine tool. At the same time, the design parameters of the machine tool are simulated by single field and multi-coupled field simulation calculation, so that the design parameters of the machine tool can be simulated comprehensively, and the detailed structure and optimal size of the parts and the whole machine are more objective and accurate; at the same time, the machine tool precision change under the comprehensive action of the multi-physical field of the machine tool mechanical properties, thermal stability, and flow field characteristics is considered, and the top-down design process from the object to be machined to all parts of the machine tool is combined, so that the design process is no longer consistent with the traditional design mode, the conventional design form is broken through, and the forward design of the machine tool is truly realized.

[0102] Further, the above embodiments are descriptions of the simulation calculation process when each parameter in the design parameter tree has one set / single set of initial values. In actual simulation, the initial values of each parameter can include at least two sets of initial values corresponding to the underlying design parameters. Then, multiple sets of initial values can be used for simulation to select the optimal value. The following embodiments describe this process.

[0103] In one embodiment, each parameter in the design parameter tree can include a core physical parameter of the machine tool and an underlying design parameter of the machine tool. The above step A can include the following steps.

[0104] Using each set of initial values of the underlying design parameters, the core physical parameters in the simulation calculation model are simulated respectively to determine each set of simulation values corresponding to the core physical parameters. The optimal simulation value in each set of simulation values is determined as the optimized value of the core physical parameter, and the set of initial values corresponding to the optimized value of the core physical parameter is determined as the optimized value of the underlying design parameter.

[0105] Specifically, each time, a set of initial values of the underlying design parameters can be used for simulation calculation to obtain a set of simulation values of the core physical parameters. According to this process, multiple simulation calculation processes are performed to obtain multiple sets of simulation values of the core physical parameters. Then, the simulation values of each set of core physical parameters obtained by multiple simulation calculations can be compared to select the simulation value with the best performance as the optimized value of the core physical parameter. For example, the simulation value with the highest dynamic stiffness in each simulation value of the dynamic stiffness in the core physical parameter can be selected as the optimized value of the dynamic stiffness. While obtaining the optimized value of the core physical parameter, a set of initial values of the underlying design parameters corresponding to the optimized value of the core physical parameter can also be used as the optimized value of the underlying design parameter.

[0106] In this embodiment, multiple sets of initial values of the underlying design parameters are used to simulate and calculate the core physical parameters to obtain the optimized values. In this way, different parameters can be adjusted through the physical three-dimensional model of the parameterized object, and the detailed structure and optimal size of the parts and the whole machine can be obtained through simulation, instead of the traditional design process which uses repeated tests to realize the forward design of the machine tool.

[0107] The following embodiments describe the assembly and measurement process of each part or component of the machine tool.

[0108] In one embodiment, each parameter in the design parameter tree can include a key performance parameter of the machine tool, a core physical parameter of the machine tool, and an underlying design parameter of the machine tool. The above S108 can include the following steps B1-B3.

[0109] Step B1, according to the optimized value of the core physical parameters and the optimized value of the bottom layer design parameters, at least one assembly process is used to assemble the parts and components in the machine tool, and the key performance parameters and the core physical parameters of the installed components are measured during each assembly process to determine at least one set of predicted values corresponding to the key performance parameters and at least one set of predicted values corresponding to the core physical parameters.

[0110] Step B2, according to at least one set of predicted values of the key performance parameters and at least one set of predicted values of the core physical parameters, an error transfer model is constructed, and the assembly process of the machine tool is optimized according to the error transfer model.

[0111] Step B3, using the optimized assembly process to assemble the parts and components in the machine tool, and measuring the key performance parameters of the installed components during the assembly process to determine the measured values of the key performance parameters and the measured values of the core physical parameters.

[0112] Wherein, a plurality of different assembly processes can be designed in advance, and the assembly process herein can include assembly process, assembly sequence, etc. Then using various assembly processes, according to the optimized value of the core physical parameters of the machine tool parts and the optimized value of the bottom layer design parameters, the parts and components are assembled respectively, and the key performance parameters and the core physical parameters of the installed components or the whole machine are measured during the assembly test. At least one set of predicted values of the key performance parameters and at least one set of predicted values of the core physical parameters can be obtained under the assembly test of each assembly process.

[0113] Then, based on the predicted values of the key performance parameters and the predicted values of the core physical parameters under the assembly test of various assembly processes, the error accumulation data can be summarized, and an error transfer model can be formed based on the error accumulation data and the measurement data (i.e. predicted values) during the assembly test, so as to master the error accumulation rule during the assembly test, and use this model to predict the precision of the assembled components under different assembly methods, and optimize the assembly process method.

[0114] Optionally, the above-mentioned error transfer model can include part shape tolerance (i.e. tolerance parameter) transfer model, joint attitude error transfer model, component position error transfer model, and whole machine shaft error transfer model. That is, the part shape tolerance, joint attitude error, component position error and whole machine shaft error can be measured and transferred.

[0115] Referring to the flowchart of the error propagation model shown in FIG. 6, the error sources can be first determined, such as manufacturing errors, assembly errors, measurement errors, etc., and then the error propagation model is constructed, and the parts and components in the machine tool are assembled through the assembly process to obtain the predicted value and the measured value of the performance parameters. Then the assembly can be optimized, such as optimizing the assembly process, assembly sequence, tolerance parameters, etc.

[0116] Specifically, the assembly process method can be optimized through the above-mentioned error propagation model to obtain an optimal assembly process method. Then the parts and components in the machine tool can be assembled according to the optimal assembly process method, and the key performance parameters of the installed components are measured during the assembly process to determine the measured values of the key performance parameters and the measured values of the core physical property parameters.

[0117] Further, after obtaining the measured values, the parameter allocation model and the simulation calculation model can be adjusted by comparison. Optionally, the above S110 can include the following steps.

[0118] The measured value of the key performance parameter is compared with the theoretical value of the key performance parameter, and the measured value of the core physical property parameter is compared with the optimized value of the core physical property parameter. If the measured value of the key performance parameter does not meet the theoretical value of the key performance parameter, the parameter allocation model and each parameter therein are corrected or error compensated according to the measured value of the key performance parameter to determine the correction value of each parameter in the design parameter tree. And / or, if the measured value of the core physical property parameter does not meet the optimized value of the core physical property parameter, the simulation calculation model corresponding to the physical three-dimensional model and each parameter therein are corrected or error compensated according to the measured value of the core physical property parameter to determine the correction value of each parameter in the design parameter tree.

[0119] For example, the measured value of the straightness of the guide plate in the key performance parameter is less than the theoretical value of the straightness of the guide plate, which indicates that the formula or parameter value in the parameter allocation model is not appropriate, and the formula or parameter value in the parameter allocation model can be adjusted. For example, the formula or parameter value in the parameter allocation model can be corrected or error compensated through the above-mentioned error model or other ways to obtain the correction value of each parameter in the parameter allocation model / design parameter tree. Or, for example, the measured value of the dynamic stiffness of the guide plate in the core physical property parameter is less than the optimized value of the dynamic stiffness of the guide plate, which indicates that the formula or parameter value in the simulation calculation model is not appropriate, and the formula or parameter value in the simulation calculation model can be adjusted. For example, the formula or parameter value in the simulation calculation model can be corrected or error compensated through the above-mentioned error model or other ways to obtain the correction value of each parameter in the simulation calculation model / design parameter tree.

[0120] In the embodiment, the assembly process of the machine tool is optimized by constructing an error transmission model, so that a better assembly process can be obtained to assemble the parts of the machine tool, and the precision of the assembled machine tool is improved. Further, in the case that the measured values of the parameters of the machine tool do not meet the theoretical values or the optimized values, feedback correction can be performed, so that the precision of the designed machine tool can be further improved.

[0121] It can be known from the description of the above embodiments that the machine tool forward design method in the embodiments of the present application starts from the precision parameter index of the to-be-processed object defined by the demand, and the parameters that can realize the precision of the to-be-processed object are calculated through a mapping model to obtain the whole machine performance parameter index. Further, the parameters that can realize the whole machine performance are calculated through a mapping model to obtain the component performance parameter index. Furthermore, in order to achieve the component performance index, the core physical property parameters that can satisfy the component performance are calculated through an analysis model. Still further, the bottom layer design parameters of each component are calculated through a correlation model, so as to complete the requirement from the precision parameter of the to-be-processed object to the design parameter of all parts of the machine tool, form a complete top-down design closed loop, and also follow the forward design concept.

[0122] In addition, in the design process, all bottom layer design parameters obtained by theoretical calculation are completed through the mapping model, the analysis model and the correlation model. Further, all design parameters are established into a physical three-dimensional model, simulation calculation is performed through a multi-physical field multi-scale simulation calculation model, all design parameters are optimized, and the processing test measurement of the key components is completed through the key parameters after optimization. The test results are fed back to correct the design parameters obtained by theoretical calculation and the parameters obtained by simulation optimization, and finally the corrected parameters are used for the whole machine processing and manufacturing. The design process includes complete research and development means such as theoretical calculation, simulation optimization and test measurement, and the means are integrated with each other.

[0123] Therefore, the machine tool forward design method in the embodiment of the application can develop machine tools or ultra-precision machine tools of different specifications according to the precision requirements of different machining objects. Meanwhile, under the premise of clear requirements, the parameter distribution model after theoretical calculation, the optimization value after simulation calculation, and the feedback mechanism after test measurement can obtain all key bottom-level design parameters of parts, components, and the whole machine involved in the machine tool. The design parameters of the machine tool obtained in this way will not change due to different designers, and the design precision of the machine tool can be improved, and the technical uncertainty in the design and machining process can be reduced under the premise of ensuring the performance of the machine tool. At the same time, the situation that the design parameter precision is defined according to experience values and is too high or does not meet the use requirements can be avoided, and the test cost can be reduced. At the beginning of the design, the machine tool precision change under the comprehensive action of the multi-physical field including the mechanical properties, thermal stability, and flow field characteristics of the machine tool is comprehensively considered, the top-down design process from the machining object to all parts of the machine tool is realized, and the design process is no longer consistent with the imitation design process in the traditional design mode, thereby breaking through the conventional design form and truly realizing the forward design of the machine tool or ultra-precision machine tool.

[0124] The machine tool forward design device provided by the application will be described below. The machine tool forward design device described below can be correspondingly referred to the machine tool forward design method described above.

[0125] FIG. 7 is a structural schematic diagram of the machine tool forward design device provided by the application. As shown in FIG. 7, the device can include the following modules.

[0126] The initial value determination module 710 is configured to obtain the precision parameters of the machining object, construct a design parameter tree of the machine tool according to the precision parameters, and determine the initial values of the parameters in the design parameter tree. The design parameter tree includes the parameters and the correlation between the parameters.

[0127] The parameter distribution module 720 is configured to construct a parameter distribution model of the machine tool according to the design parameter tree, and perform theoretical calculation on the parameters in the parameter distribution model to determine the theoretical values of the parameters.

[0128] The simulation calculation module 730 is configured to draw a physical three-dimensional model of the machine tool according to the theoretical values of the parameters, and perform simulation on the parameters in the physical three-dimensional model according to the initial values of the parameters to determine the optimization values of the parameters.

[0129] The measurement module 740 is configured to assemble the parts and components in the machine tool according to the optimization values of the parameters, and measure the parameters during the assembly process to determine the measurement values of the parameters.

[0130] The correction module 750 is configured to determine a correction value of each parameter in the design parameter tree according to a comparison result between the measured value of each parameter, the optimized value of each parameter, and the theoretical value of each parameter.

[0131] In one embodiment, the simulation calculation module 730 is specifically configured to

[0132] The simulation calculation model under the thermal fluid-solid physical field is constructed according to the physical three-dimensional model, and simulation calculation is performed on each parameter in the simulation calculation model by using the initial value of each parameter to determine the optimized value corresponding to each parameter.

[0133] The simulation calculation model includes a single-field simulation calculation model and / or a coupled-field simulation calculation model. The single-field simulation calculation model is used to perform simulation calculation on the parameter value of the machine tool in at least one of the structural field, the fluid field, and the heat transfer field. The coupled-field simulation model is used to perform simulation calculation on the parameter value of the machine tool in the coupling of at least two of the structural field, the fluid field, and the heat transfer field.

[0134] In one embodiment, each parameter in the design parameter tree includes a core physical parameter of the machine tool and a bottom-layer design parameter of the machine tool, and the initial value of each parameter includes at least two groups of initial values corresponding to the bottom-layer design parameter. The simulation calculation module 730 is specifically configured to

[0135] Each group of initial values of the bottom-layer design parameter is used to perform simulation on the core physical parameter in the simulation calculation model to determine each group of simulation values corresponding to the core physical parameter.

[0136] The optimal simulation value in each group of simulation values is determined as the optimized value corresponding to the core physical parameter, and a group of initial values corresponding to the optimized value of the core physical parameter is determined as the optimized value corresponding to the bottom-layer design parameter.

[0137] In one embodiment, each parameter in the design parameter tree includes a key performance parameter of the machine tool, a core physical parameter of the machine tool, and a bottom-layer design parameter of the machine tool. The measurement module 740 is specifically configured to

[0138] According to the optimized value of the core physical parameter and the optimized value of the bottom-layer design parameter, at least one assembly process is used to assemble the parts and components in the machine tool, and the key performance parameter and the core physical parameter of the installed components are measured during each assembly process to determine at least one group of predicted values corresponding to the key performance parameter and at least one group of predicted values corresponding to the core physical parameter.

[0139] An error transfer model is constructed according to the at least one group of predicted values of the key performance parameter and the at least one group of predicted values of the core physical parameter, and the assembly process of the machine tool is optimized according to the error transfer model.

[0140] Assembling the parts and components in the machine tool by using the optimized assembly process, and measuring the key performance parameters of the installed components during the assembly process to determine the measured values corresponding to the key performance parameters and the measured values corresponding to the core physical property parameters.

[0141] In one embodiment, the above-mentioned correction module 750 is specifically configured to

[0142] Compare the measured values of the key performance parameters with the theoretical values of the key performance parameters, and compare the measured values of the core physical property parameters with the optimized values of the core physical property parameters.

[0143] If the measured values of the key performance parameters do not meet the theoretical values of the key performance parameters, the parameter allocation model and each parameter therein are corrected or error compensated according to the measured values of the key performance parameters to determine the correction values of each parameter in the design parameter tree; and / or, if the measured values of the core physical property parameters do not meet the optimized values of the core physical property parameters, the simulation calculation model corresponding to the physical three-dimensional model and each parameter therein are corrected or error compensated according to the measured values of the core physical property parameters to determine the correction values of each parameter in the design parameter tree.

[0144] In one embodiment, each parameter in the above-mentioned design parameter tree includes a key performance parameter of the machine tool, a core physical property parameter of the machine tool, and a bottom-layer design parameter of the machine tool, the key performance parameter includes an overall performance parameter, a component performance parameter, and a part joint performance parameter, and the component performance parameter includes a linear shaft performance parameter and a rotary shaft performance parameter.

[0145] In one embodiment, the above-mentioned parameter allocation model includes a mapping model, an analytical model, and a correlation model.

[0146] The above-mentioned mapping model is used to establish a mapping relationship between the precision parameter of the object to be processed and the overall performance parameter, and a mapping relationship between the overall performance parameter and the component performance parameter.

[0147] The above-mentioned analytical model is used to establish an analytical calculation of the part joint performance parameter and the core physical property parameter, an analytical calculation of the component performance parameter and the core physical property parameter, and an analytical calculation of the overall performance parameter and the core physical property parameter.

[0148] The above-mentioned correlation model is used to establish a correlation relationship between the core physical property parameter and the bottom-layer design parameter.

[0149] In one embodiment, the above-mentioned physical three-dimensional model includes a physical three-dimensional model parameterized for the structure size of the parts, components, and overall machine in the machine tool, and / or a physical three-dimensional model parameterized for the assembly size of the components and overall machine in the machine tool.

[0150] In an embodiment, the simulation calculation model further comprises parameter matching optimization calculation at different scales of the machine tool from parts to components to the whole machine.

[0151] The parameter matching optimization calculation at different scales comprises at least two of the following: micro-scale joint deformation optimization of ≤0.1 μm, meso-scale part deformation optimization of 0.1 μm to 100 μm, and macro-scale whole machine deformation optimization of ≥100 μm.

[0152] In an embodiment, the joint comprises at least one of the following: bolt pre-tightening joint surface, gas-solid joint surface, liquid-solid joint surface, electromechanical coupling joint surface, electromagnetic joint surface, adhesive joint surface, and interference fit joint surface.

[0153] FIG. 8 shows a schematic diagram of an electronic device, which can include a processor 810, a communications interface 820, a memory 830, and a communications bus 840, wherein the processor 810, the communications interface 820, and the memory 830 communicate with each other through the communications bus 840. The processor 810 can invoke a logical instruction in the memory 830 to execute a machine tool forward design method, which comprises: obtaining precision parameters of an object to be processed, and constructing a design parameter tree of the machine tool and determining initial values of parameters in the design parameter tree according to the precision parameters; the design parameter tree comprises parameters and the correlation between the parameters; constructing a parameter allocation model corresponding to the machine tool according to the design parameter tree, and performing theoretical calculation on each parameter in the parameter allocation model to determine the theoretical value of each parameter; drawing a physical three-dimensional model of the machine tool according to the theoretical value of each parameter, and simulating each parameter in the physical three-dimensional model according to the initial value of each parameter to determine the optimized value of each parameter; assembling parts and components in the machine tool according to the optimized value of each parameter, and measuring each parameter during the assembly process to determine the measured value of each parameter; and determining the correction value of each parameter in the design parameter tree according to the comparison result between the measured value of each parameter, the optimized value of each parameter, and the theoretical value of each parameter.

[0154] In addition, the logic instructions in the memory 830 described above can be implemented in the form of software function units and sold or used as independent products, and can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the parts that make contributions to the prior art or parts of the technical solutions can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0155] In another aspect, the present application also provides a computer program product, the computer program product comprising a computer program, the computer program being stored on a non-transitory computer readable storage medium, and the computer program being executable by a processor to cause a computer to perform the machine tool forward design method provided by the above-mentioned method, the method comprising: obtaining precision parameters of an object to be processed, and constructing a design parameter tree of a machine tool and determining initial values of parameters in the design parameter tree according to the precision parameters; the design parameter tree comprising parameters and the correlation between the parameters; constructing a parameter allocation model corresponding to the machine tool according to the design parameter tree, and performing theoretical calculation on each parameter in the parameter allocation model to determine the theoretical values of the parameters; drawing a physical three-dimensional model of the machine tool according to the theoretical values of the parameters, and simulating each parameter in the physical three-dimensional model according to the initial values of the parameters to determine the optimized values of the parameters; assembling the parts and components in the machine tool according to the optimized values of the parameters, and measuring the parameters during the assembly process to determine the measured values of the parameters; and determining the correction values of the parameters in the design parameter tree according to the comparison results between the measured values of the parameters, the optimized values of the parameters, and the theoretical values of the parameters.

[0156] In yet another aspect, the present application also provides a non-transitory computer readable storage medium having stored thereon a computer program, which, when executed by a processor, implements the machine tool forward design method provided by the above method, the method comprising: obtaining precision parameters of an object to be processed, and constructing a design parameter tree of the machine tool according to the precision parameters and determining initial values of parameters in the design parameter tree; the design parameter tree comprising the parameters and the association relationship between the parameters; constructing a parameter allocation model corresponding to the machine tool according to the design parameter tree, and performing theoretical calculation on each parameter in the parameter allocation model to determine the theoretical values of the parameters; drawing a physical three-dimensional model of the machine tool according to the theoretical values of the parameters, and simulating each parameter in the physical three-dimensional model according to the initial values of the parameters to determine the optimized values of the parameters; assembling the parts and components in the machine tool according to the optimized values of the parameters, and measuring the parameters during the assembly process to determine the measured values of the parameters; and determining the correction values of the parameters in the design parameter tree according to the comparison results between the measured values of the parameters, the optimized values of the parameters and the theoretical values of the parameters.

[0157] The device embodiments described above are merely illustrative, wherein the units described as separate components can or can not be physically separated, and the components displayed as units can or can not be physical units, i.e., they can be located in one place or distributed on multiple network units. Part or all of the modules can be selected to achieve the purpose of the embodiment according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0158] From the above description of the embodiments, those skilled in the art can clearly understand that the embodiments can be realized by means of software and necessary universal hardware platforms, and of course can also be realized by hardware. Based on such understanding, the above technical solutions can be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0159] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacements to some technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A machine tool forward design method, comprising: obtaining precision parameters of an object to be processed, and constructing a design parameter tree of a machine tool according to the precision parameters and determining initial values of parameters in the design parameter tree; the design parameter tree comprising parameters and association relationships between the parameters; constructing a parameter allocation model corresponding to the machine tool according to the design parameter tree, and performing theoretical calculation on the parameters in the parameter allocation model to determine theoretical values of the parameters; drawing a physical three-dimensional model of the machine tool according to the theoretical values of the parameters, and simulating the parameters in the physical three-dimensional model according to the initial values of the parameters to determine optimized values of the parameters; assembling parts and components in the machine tool according to the optimized values of the parameters, and measuring the parameters during the assembling process to determine measured values of the parameters; determining correction values of the parameters in the design parameter tree according to comparison results among the measured values of the parameters, the optimized values of the parameters and the theoretical values of the parameters.

2. The machine tool forward design method of claim 1, wherein, the simulating the parameters in the physical three-dimensional model according to the initial values of the parameters to determine the optimized values of the parameters, comprising: constructing a simulation calculation model under a thermal fluid-solid physical field according to the physical three-dimensional model, and simulating the parameters in the simulation calculation model using the initial values of the parameters to determine the optimized values of the parameters; wherein the simulation calculation model comprises a single-field simulation calculation model and / or a coupled-field simulation calculation model, the single-field simulation calculation model is used to simulate parameter values of the machine tool in at least one of a structure field, a fluid field and a heat transfer field, and the coupled-field simulation model is used to simulate parameter values of the machine tool in a coupling condition of at least two of the structure field, the fluid field and the heat transfer field.

3. The machine tool forward design method of claim 2, wherein, the parameters in the design parameter tree comprise core physical property parameters of the machine tool and bottom-layer design parameters of the machine tool, the initial values of the parameters comprise at least two groups of initial values corresponding to the bottom-layer design parameters; the simulating the parameters in the simulation calculation model using the initial values of the parameters to determine the optimized values of the parameters, comprising: simulating the core physical property parameters in the simulation calculation model using each group of initial values of the bottom-layer design parameters to determine each group of simulation values corresponding to the core physical property parameters; determining an optimal simulation value in each group of simulation values as the optimized value of the core physical property parameters, and determining a group of initial values corresponding to the optimized value of the core physical property parameters as the optimized value of the bottom-layer design parameters.

4. The machine tool forward design method according to any one of claims 1 to 3, wherein, the parameters in the design parameter tree comprise key performance parameters of the machine tool, core physical property parameters of the machine tool and bottom-layer design parameters of the machine tool; the assembling parts and components in the machine tool according to the optimized values of the parameters, and measuring the parameters during the assembling process to determine the measured values of the parameters, comprising: Assembling parts and components in the machine tool according to the optimized values of the core physical parameters and the optimized values of the bottom layer design parameters, and measuring the key performance parameters and the core physical parameters of the installed components during each assembling process to determine at least one set of predicted values corresponding to the key performance parameters and at least one set of predicted values corresponding to the core physical parameters; Building an error transfer model according to the at least one set of predicted values of the key performance parameters and the at least one set of predicted values of the core physical parameters, and optimizing the assembling process of the machine tool according to the error transfer model; Assembling parts and components in the machine tool according to the optimized values of the core physical parameters and the optimized values of the bottom layer design parameters, and measuring the key performance parameters and the core physical parameters of the installed components during each assembling process to determine at least one set of predicted values corresponding to the key performance parameters and at least one set of predicted values corresponding to the core physical parameters; 5. The machine tool forward design method of claim 4, wherein, The comparison results between the measured values of each parameter, the optimized values of each parameter, and the theoretical values of each parameter are used to determine the correction values of each parameter in the design parameter tree, including: Comparing the measured values of the key performance parameters with the theoretical values of the key performance parameters, and comparing the measured values of the core physical parameters with the optimized values of the core physical parameters; If the measured values of the key performance parameters do not meet the theoretical values of the key performance parameters, the parameter allocation model and each parameter therein are corrected or error compensated according to the measured values of the key performance parameters to determine the correction values of each parameter in the design parameter tree; And / or, if the measured values of the core physical parameters do not meet the optimized values of the core physical parameters, the simulation calculation model corresponding to the physical three-dimensional model and each parameter therein are corrected or error compensated according to the measured values of the core physical parameters to determine the correction values of each parameter in the design parameter tree.

6. The machine tool direct design method according to any one of claims 1 to 3, wherein, The parameters in the design parameter tree include key performance parameters of the machine tool, core physical parameters of the machine tool, and bottom layer design parameters of the machine tool, the key performance parameters include overall machine performance parameters, component performance parameters, and part joint performance parameters, and the component performance parameters include linear shaft performance parameters and rotary shaft performance parameters.

7. The machine tool forward design method of claim 6, wherein, The parameter allocation model includes a mapping model, an analytical model, and a correlation model; The mapping model is used to establish a mapping relationship between the precision parameters of the object to be processed and the overall machine performance parameters, and a mapping relationship between the overall machine performance parameters and the component performance parameters; The analytical model is used to establish analytical calculations of the part joint performance parameters and the core physical parameters, the component performance parameters and the core physical parameters, and the overall machine performance parameters and the core physical parameters; The correlation model is used to establish a correlation between the core physical parameters and the bottom layer design parameters.

8. The machine tool direct design method according to any one of claims 1 to 3, wherein, The physical three-dimensional model includes a physical three-dimensional model parameterized for structural dimensions of parts, components and the whole machine in the machine tool, and / or a physical three-dimensional model parameterized for assembly dimensions of components and the whole machine in the machine tool.

9. The machine tool forward design method according to claim 2 or 3, wherein, The simulation calculation model further includes parameter matching optimization calculation at different scales of the machine tool from parts to components to the whole machine; The parameter matching optimization calculation at different scales includes at least two of the following: micro-scale joint deformation optimization of ≤0.1 μm, meso-scale part deformation optimization of 0.1 μm to 100 μm, and macro-scale whole machine deformation optimization of ≥100 μm.

10. The machine tool forward design method of claim 9, wherein, The joint includes at least one of the following: a bolt pre-tightening joint surface, a gas-solid joint surface, a liquid-solid joint surface, an electromechanical coupling joint surface, an electromagnetic joint surface, a glue joint surface, and an interference fit joint surface.

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