Machine Tool Forward Design Method

Abstract

The present invention provides a forward design method for a machine tool, comprising: obtaining the 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 the initial values ​​of each parameter in the design parameter tree; constructing a parameter allocation model corresponding to the machine tool according to the design parameter tree, and determining the theoretical values ​​corresponding to each parameter; drawing a parameterized physical three-dimensional model of the whole machine of the machine tool according to the theoretical values ​​of each parameter, simulating each parameter in the physical three-dimensional model, and determining the optimized values ​​corresponding to each parameter; assembling parts and components in the machine tool according to the optimized values ​​of each parameter, and determining the measured values ​​corresponding to each parameter; and determining the correction values ​​corresponding to each parameter in the design parameter tree according to the comparison results between the measured values ​​of each parameter, the optimized values ​​of each parameter and the theoretical values ​​of each parameter. The technical solution of the present invention can forward design machine tool parameters based on the precision parameters of the object to be processed, thereby avoiding cost waste in the design of high-precision machine tools.

Description

Technical Field

[0001] The invention relates to the technical field of machine tool processing, and in particular to a forward design method for a machine tool. Background Art

[0002] In the field of machine tool processing, machine tools are usually assembled from parts or components, and parts or components are usually processed by machine tools. The accuracy of the designed machine tools will determine the accuracy of the processed parts or components to a certain extent. In other words, in order to process high-precision parts, it is generally necessary to design high-precision machine tools for processing.

[0003] In the related art, when designing a high-precision machine tool, it is usually done by measuring the relevant parameters of the currently available high-precision machine tools, then designing parts and components of corresponding precision according to the precision of these parameters, and then assembling these parts and components to obtain a high-precision machine tool.

[0004] However, the above-mentioned method of designing high-precision machine tools is a reverse design method. The machine tools designed in this way may have problems of cost waste or insufficient precision. Therefore, there is an urgent need for a method of designing machine tools from a forward direction. Summary of the invention

[0005] In view of the technical problems existing in the prior art, the present invention provides a machine tool forward design method.

[0006] The present invention provides a machine tool forward design method, comprising:

[0007] Obtaining precision parameters of the object to be processed, 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 relationship between the parameters;

[0008] Construct a parameter allocation model corresponding to the machine tool according to the design parameter tree, perform theoretical calculations on each parameter in the parameter allocation model, and determine the theoretical value corresponding to each parameter;

[0009] Draw a parameterized physical three-dimensional model of the machine tool according to the theoretical values ​​of each parameter, and simulate each parameter in the physical three-dimensional model according to the initial values ​​of each parameter to determine the optimal value corresponding to each parameter;

[0010] Assemble the parts and components in the machine tool according to the optimized values ​​of each parameter, and measure each parameter during the assembly process to determine the corresponding measurement value of each parameter;

[0011] According to the comparison results between the measured values ​​of each parameter, the optimized values ​​of each parameter and the theoretical values ​​of each parameter, the correction value corresponding to each parameter in the design parameter tree is determined.

[0012] According to a forward design method for a machine tool provided by the present invention, the above-mentioned simulation of each parameter in the physical three-dimensional model according to the initial value of each parameter to determine the optimization value corresponding to each parameter includes:

[0013] A simulation calculation model under the thermal fluid-solid physical field is constructed according to the physical three-dimensional model, and each parameter in the simulation calculation model is simulated and calculated using the initial value of each parameter to determine the optimization value corresponding to each parameter;

[0014] Among them, 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 among the structural field, the fluid field and the heat transfer field. The coupled-field simulation model is used to simulate and calculate the parameter values ​​of the machine tool under the condition of coupling of at least two physical fields among the structural field, the fluid field and the heat transfer field.

[0015] According to a forward design method for a machine tool provided by the present invention, each parameter in the design parameter tree includes: core physical parameters of the machine tool and underlying design parameters of the machine tool, and the initial value of each parameter includes at least two groups of initial values ​​corresponding to the underlying design parameters; the initial values ​​of each parameter are used to perform simulation calculations on each parameter in the simulation calculation model to determine the optimization value corresponding to each parameter, including:

[0016] Using each group of initial values ​​of the underlying design parameters, respectively simulate the core physical property parameters in the simulation calculation model to determine each group of simulation values ​​corresponding to the core physical property parameters;

[0017] The best simulation value in each group of simulation values ​​is determined as the optimized value corresponding to the core physical property parameter, and a group of initial values ​​corresponding to the optimized value of the core physical property parameter is determined as the optimized value corresponding to the underlying design parameter.

[0018] According to a forward design method for a machine tool provided by the present invention, the parameters in the design parameter tree include: key performance parameters of the machine tool, core physical parameters of the machine tool, and bottom-level design parameters of the machine tool; the parts and components in the machine tool are assembled according to the optimized values ​​of the parameters, and the parameters are measured during the assembly process to determine the measured values ​​corresponding to the parameters, including:

[0019] According to the optimized values ​​of the core physical property parameters and the optimized values ​​of the underlying design parameters, at least one assembly process is used to assemble the parts and components in the machine tool, and in each assembly process, the key performance parameters and the core physical property parameters of the installed components are measured 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;

[0020] Building an error transfer model based on at least one set of predicted values ​​of key performance parameters and at least one set of predicted values ​​corresponding to core physical property parameters, and optimizing the assembly process of the machine tool based on the error transfer model;

[0021] The optimized assembly process is used to assemble the parts and components in the machine tool, and the key performance parameters of the installed components are measured during the assembly process to determine the measurement values ​​corresponding to the key performance parameters and the measurement values ​​corresponding to the core physical property parameters.

[0022] According to a forward design method for a machine tool provided by the present invention, the correction value corresponding to each parameter in the design parameter tree is determined based on the comparison results among the measured value of each parameter, the optimized value of each parameter and the theoretical value of each parameter, including:

[0023] Compare the measured values ​​of key performance parameters with the theoretical values ​​of key performance parameters, and compare the measured values ​​of core physical property parameters with the optimized values ​​of core physical property parameters;

[0024] 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 corrected value corresponding to each parameter in the design parameter tree;

[0025] 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 ​​corresponding to each parameter in the design parameter tree.

[0026] According to a forward design method for a machine tool provided by the present invention, the parameters in the above-mentioned design parameter tree include: key performance parameters of the machine tool, core physical property parameters of the machine tool and underlying design parameters of the machine tool. The above-mentioned key performance parameters include whole machine performance parameters, component performance parameters and part joint performance parameters. The component performance parameters include linear axis performance parameters and rotary axis performance parameters.

[0027] According to a machine tool forward design method provided by the present invention, the parameter allocation model includes a mapping model, an analytical model and an association model;

[0028] The above mapping model is used to establish a mapping relationship between the precision parameters of the object to be processed and the performance parameters of the whole machine, and a mapping relationship between the performance parameters of the whole machine and the performance parameters of the components;

[0029] The above analytical model is used to establish analytical calculations of part joint performance parameters and core physical property parameters, component performance parameters and core physical property parameters, and overall machine performance parameters and core physical property parameters;

[0030] The above correlation model is used to establish the correlation relationship between core physical property parameters and underlying design parameters.

[0031] According to a machine tool forward design method provided by the present invention, the above-mentioned physical three-dimensional model includes a physical three-dimensional model after parameterizing the structural dimensions of the parts, components and the whole machine in the machine tool, and / or a physical three-dimensional model after parameterizing the assembly dimensions of the components and the whole machine in the machine tool.

[0032] According to a forward design method for a machine tool provided by the present invention, the above-mentioned simulation calculation model also includes parameter matching optimization calculations at different scales of the machine tool from parts to components to the whole machine;

[0033] The parameter matching optimization calculations at the above-mentioned different scales include at least two of the following: deformation optimization of joints at a microscopic scale of ≤0.1μm, deformation optimization of parts at a mesoscopic scale of 0.1μm to 100μm, and deformation optimization of the entire machine at a macroscopic scale of ≥100μm.

[0034] According to a machine tool forward design method provided by the present invention, the above-mentioned 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, an adhesive joint surface, and an interference fit joint surface.

[0035] The present invention also provides a machine tool forward design device, comprising:

[0036] An initial value determination module is used to obtain the precision parameters of the object to be processed, and to construct a design parameter tree of the machine tool according to the precision parameters and to determine the initial values ​​of each parameter in the design parameter tree; the design parameter tree includes each parameter and the association relationship between the parameters;

[0037] The parameter allocation module is used to construct a parameter allocation model corresponding to the machine tool according to the design parameter tree, and to perform theoretical calculations on each parameter in the parameter allocation model to determine the theoretical value corresponding to each parameter;

[0038] The simulation calculation module is used to draw a parameterized physical three-dimensional model of the machine tool according to the theoretical values ​​of each parameter, and simulate each parameter in the physical three-dimensional model according to the initial values ​​of each parameter to determine the optimized value corresponding to each parameter;

[0039] The measuring module is used to assemble the parts and components in the machine tool according to the optimized values ​​of each parameter, and to measure each parameter during the assembly process to determine the measurement value corresponding to each parameter;

[0040] The correction module is used to determine the correction value corresponding to each parameter in the design parameter tree according to the comparison results between the measured value of each parameter, the optimized value of each parameter and the theoretical value of each parameter.

[0041] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the forward design method for a machine tool as described above is implemented.

[0042] The present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the forward design method of a machine tool as described in any one of the above is implemented.

[0043] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the forward design method for a machine tool as described above is implemented.

[0044] The forward design method of a machine tool provided by the present invention obtains the precision parameters of the object to be processed, constructs a design parameter tree of the machine tool according to the precision parameters and determines the initial values ​​of each parameter in the design parameter tree, then constructs a parameter allocation model according to the design parameter tree and performs theoretical calculations, and draws a parameterized physical three-dimensional model of the whole machine of the machine tool according to the theoretical values ​​of each parameter and simulates the physical three-dimensional model according to the initial values ​​to determine the optimized values ​​of each parameter, then assembles and measures the parts in the machine tool according to the optimized values ​​of each parameter to obtain the measured values ​​of each parameter, and finally determines the corrected values ​​of each parameter according to the comparison results between the measured values, optimized values ​​and theoretical values ​​of each parameter of the machine tool. In this method, since the theoretical value calculation, simulation calculation and assembly test measurement of the machine tool can be performed forward based on the precision parameters of the object to be processed to obtain the parameter values ​​of the designed machine tool, a top-down design closed loop is formed, 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. At the same time, the design parameters of the machine tool obtained through this forward design concept will not change due to different designers. Under the premise of ensuring the performance of the machine tool, it can not only improve the design accuracy of the machine tool, but also reduce the technical uncertainty in the design and processing process. In this way, it can avoid the situation where the design parameter accuracy is too high or does not meet the use requirements according to the definition of empirical values, thereby reducing the waste of test costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0046] Figure 1 It is a flow chart of the machine tool forward design method provided by the present invention.

[0047] Figure 2 It is an overall flow chart of the design and manufacture of the machine tool provided by the present invention.

[0048] Figure 3 It is a schematic diagram of the parameter allocation model of the machine tool provided by the present invention.

[0049] Figure 4 It is a schematic diagram of the parameter loop of the feedback mechanism of the machine tool provided by the present invention.

[0050] Figure 5 It is a flow chart of the simulation calculation model of the machine tool provided by the present invention.

[0051] Figure 6 It is a flow chart of the error transfer model of the machine tool provided by the present invention.

[0052] Figure 7 It is a structural schematic diagram of the machine tool forward design device provided by the present invention.

[0053] Figure 8 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0055] At present, the research and development of high-end CNC machine tool equipment mainly adopts the strategy of follow-up imitation. Most companies only have reverse engineering capabilities and find it difficult to produce innovative designs. The functions and performance of products are not as good as those of the imitation objects. In addition, long-term tracking imitation and reverse design have made designers generally conservative, and product innovation lacks the theory and practice of forward design. Compared with the previous thinking of benchmarking research and development and reverse engineering, in order to fundamentally solve the problems faced in the research and development of complex equipment and better realize innovation, break the previous concepts and habits of reverse thinking, and solve the problems of weak core technology and lack of common technology, it is necessary to establish a suitable forward design method based on demand and architecture to truly achieve disruptive innovation.

[0056] Specifically, the current independent innovation design capability of machine tools is relatively low, and the forward design of machine tools lacks a complete set of design methods. The earliest machine tool structure design mainly relied on traditional experience and imitation of foreign machine tool structures. The performance of machine tools manufactured mainly depends on the experience and level of the designer, and the R&D cycle is long and the efficiency is low. At the same time, there are a lot of technical uncertainties in the design, and the underlying theoretical calculations and simulation analysis in the design process are not integrated into the R&D and design activities. Especially for the current domestic ultra-precision machine tools, because the moving parts of ultra-precision machine tools generally use fluid static pressure support, whether it is a linear axis or a rotary axis of a gas static pressure structure or a fluid static pressure structure, the precision requirements are extremely high, and the precision requirements for the axes of the moving parts are also high. At the same time, ultra-precision machine tools are sensitive to the precision changes and external temperature of the assembly process, and there are many uncertain factors and they cannot establish a connection with each other. Therefore, when designing the whole machine of the machine tool, the designer cannot guarantee whether the design precision of each component of the machine tool meets the requirements. In addition, when facing the precision of different objects to be processed, it is not clear how much the design precision of the whole machine and key components can meet the processing precision of the objects to be processed. Often, the design precision of the components is too high, resulting in a waste of processing costs, or the design precision of the components is too low, which does not meet the processing and use requirements. It is impossible to reasonably and effectively design a machine tool that meets the precision requirements based on the top-level requirements. In order to reduce the spread of uncertainty in the design and form a top-down complete design that integrates theory and practice, a set of forward design methods suitable for the research and development of ultra-precision machine tools is urgently needed. Based on this, the embodiment of the present invention provides a forward design method for machine tools, which can solve this technical problem.

[0057] Combine the following Figure 1-Figure 6 A machine tool forward design method according to an embodiment of the present invention is described.

[0058] Figure 1 is a flow chart of the forward design method for a machine tool provided by the present invention, Figure 2 This is the overall flow chart of the machine tool design and manufacturing provided by the present invention, see Figure 1 and Figure 2 As shown, the method may include the following S102-S110.

[0059] S102, obtaining precision parameters of the object to be processed, and constructing a design parameter tree of the machine tool according to the precision parameters and determining the initial value of each parameter in the design parameter tree; the design parameter tree includes each parameter and the association relationship between the parameters.

[0060] Among them, the object to be processed refers to the object that can be processed by the designed machine tool, such as the parts or components to be processed in the fields of aerospace, etc. The precision requirements of the object to be processed are generally high, so it is necessary to design a high-precision machine tool to produce or process the object to be processed. The precision parameters of the above-mentioned object to be processed can also be called the precision requirements of the object to be processed, which can include the precision parameters such as the surface accuracy, waviness, roughness and specific precision parameter values ​​of the object to be processed.

[0061] In this step, the precision parameters of the object to be processed can be obtained in advance, and then the design parameter tree of the machine tool is constructed from top to bottom based on the precision parameters. The design parameter tree here includes various parameters and the relationship between the parameters. Optionally, the parameters in the design parameter tree include but are not limited to: key performance parameters of the machine tool, core physical property parameters of the machine tool, and bottom-level design parameters of the machine tool. The top-down construction of the design parameter tree here, that is, the design parameters are sequentially from the top-level key performance parameters to the core physical property parameters and then to the bottom-level bottom-level design parameters, is in line with the forward design idea.

[0062] Optionally, the above key performance parameters represent the performance parameters of key parts of the machine tool or the whole machine, and may include but are not limited to: whole machine performance parameters, component performance parameters and part joint performance parameters. Among them, the whole machine performance parameters may 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. Component performance parameters may include linear axis performance parameters and rotary axis performance parameters, wherein linear axis performance parameters may include but are not limited to: stroke, motion speed, straightness, positioning accuracy, repeat positioning accuracy, hardness, flatness, verticality and roundness; rotary axis performance parameters may include but are not limited to: rotation speed, rotation accuracy, rotation positioning accuracy.

[0063] The above core physical property parameters represent the parameters of the physical properties of the machine tool, which may include but are not limited to: static stiffness, dynamic stiffness, angular stiffness, thermal stiffness, load-bearing stiffness, cutting depth, pressure, flow, dynamic balance coefficient, etc. The static stiffness is divided into: whole machine, component, joint, part; the dynamic stiffness is divided into: whole machine, component, joint; the angular stiffness is divided into: component, joint.

[0064] The above-mentioned underlying design parameters represent the corresponding design parameters on the drawings when designing the machine tool, which can generally include structural parameters, motion parameters, inertia parameters, throttling parameters, thermal parameters and material property parameters, and can also be described from the dimensions of whole machine design parameters, component design parameters and other design parameters. Among them, the whole machine design parameters may include but are not limited to: the distance between the axes of moving parts, the structural dimensions of the bed, the layout dimensions of the vibration isolation system, and the center height of the tool tip; the component design parameters may include but are not limited to: the inlet pressure of the fluid medium, the structural dimensions of the throttle, the layout dimensions of the throttle, the throttle clearance, the bearing surface clearance, the bearing area, the shaft diameter, and the layout dimensions of the hydrostatic bearing; other design parameters may include but are not limited to: material mechanical parameters and material thermal characteristic parameters.

[0065] After the design parameter tree of the machine tool is designed from top to bottom, the initial value of each parameter can be found from the machine tool processing manual according to the precision parameter of the object to be processed, or the initial value of each parameter can be set according to experience. Optionally, the initial value of each parameter here can be a certain parameter value or a parameter value range. In the case of a parameter value range, the initial value of each parameter can include multiple groups of initial values, and each group of initial values ​​can be a certain parameter value.

[0066] S104, constructing a parameter allocation model corresponding to the machine tool according to the design parameter tree, and performing theoretical calculations on each parameter in the parameter allocation model to determine a theoretical value corresponding to each parameter.

[0067] After the top-down design parameter tree is constructed as described above, a parameter allocation model may be constructed based on the parameters in the design parameter tree. The parameter allocation model is mainly used to allocate parameter values ​​to the parameters in the design parameter tree.

[0068] Optionally, the parameter allocation model includes a mapping model, an analytical model and an association model; as mentioned above, the key performance parameters include whole machine performance parameters, component performance parameters and part joint performance parameters. The mapping model is used to establish a mapping relationship between the precision parameters of the object to be processed and the whole machine performance parameters, as well as a mapping relationship between the whole machine performance parameters and the component performance parameters; the analytical model is used to establish an analytical calculation of the part joint performance parameters and the core physical property parameters, the analytical calculation of the component performance parameters and the core physical property parameters, and the analytical calculation of the whole machine performance parameters and the core physical property parameters; the association model is used to establish an association relationship between the core physical property parameters and the underlying design parameters.

[0069] For details, see Figure 3The schematic diagram of the parameter allocation model shown in the figure can construct a mapping model, an analytical model and an association model from top to bottom based on the design parameter tree, that is, a mapping model between the precision parameters of the object to be processed and the key performance parameters can be established first, that is, the whole machine performance parameters in the key performance parameters are mapped from the precision parameters of the object to be processed, and then the component performance parameters are mapped from the whole machine performance parameters, and then the part joint performance parameters are mapped. Then, an analytical model between the key performance parameters and the core physical property parameters is established, that is, the core physical property parameters are obtained by analytically calculating the part joint performance parameters in the key performance parameters, the core physical property parameters are obtained by analytically calculating the component performance parameters in the key performance parameters, and the core physical property parameters are obtained by analytically calculating the whole machine performance parameters in the key performance parameters. Then, an association model between the core physical property parameters and the underlying design parameters is established, that is, the association process of the underlying design parameters can be associated with the core physical property parameters. The association 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.

[0070] After constructing the parameter allocation models such as the top-down mapping model, the analytical model and the association model, the theoretical value of each parameter in the parameter allocation model can be calculated. For example, the theoretical calculation can be performed using the existing relevant calculation method. According to the relationship between the parameters in the above parameter allocation model, the theoretical value of each parameter in the parameter allocation model can be calculated in sequence.

[0071] Furthermore, after constructing the above parameter allocation model, it is also possible to verify whether the machine tool parameters meet the precision parameter requirements of the object to be processed through a reverse or inverse calculation process. For example, the mechanism analysis can be first performed through elastic-plastic statics theory, dynamics theory, fluid lubrication theory, thermal theory, and material removal theory to obtain the underlying design parameters, and then the core physical property parameters can be determined through the association model, and then the key performance parameters can be obtained through the analytical model calculation, and finally the precision parameters of the object to be processed can be obtained through the mapping model calculation, so as to achieve reverse verification.

[0072] For example, taking ultra-precision machine tools as an example, we can decompose the stiffness chain in the sensitive direction of ultra-precision machine tool processing, study the stiffness of the ultra-precision machine tool system from the perspective of stiffness components at multiple scales, establish design models for key stiffness at each scale, and integrate them into a mathematical model of the overall stiffness of the system with multi-scale characteristics. We can study the law of how the stiffness of the entire ultra-precision machine tool changes in the workspace as the stiffness chain composed of the joints between components changes, determine the underlying design parameters for stiffness optimization, and use them to guide the stiffness design of ultra-precision machine tools.

[0073] The thermal resistance, heat capacity and thermal radiation characteristics of machine tool components and joints are studied, and the multi-scale thermal characteristics of ultra-precision machine tools after the heat sources diffuse one by one through the microscopic joints between components are summarized. Through multi-scale coupling analysis of thermal characteristics, the error of thermal problem analysis is reduced, the spatial and temporal distribution of thermal characteristics of ultra-precision machine tools and the influence of thermal-mechanical coupling on accuracy are obtained, and the theoretical basis and basic analysis data of thermal cooling design are provided to guide the thermal design and component selection of ultra-precision machine tools.

[0074] According to the fluid lubrication theory and Reynolds equation, a mathematical and physical model of the pressure change of the flow field of key components including the throttle is constructed to obtain the fluid motion characteristics of the fluid in the microscopic, mesoscopic and macroscopic spatial scales, master the influence of the inlet and outlet pressure ratio and the structural size on the flow field, and explore the influence of the bearing capacity and stiffness of the joint 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, and the influence of the pressure change and temperature change in the flow field on the microscopic accuracy of the solid contact layer surface is summarized. A two-way action calculation model of fluid-solid coupling is established to reduce the tiny vibration caused by the fluid and solid boundary under dynamic excitation, thereby improving key performance parameters such as rotation accuracy and guide rail straightness accuracy.

[0075] The process part studies the modeling of dynamic cutting systems and the prediction of morphology forming, explains the influence of various dynamic factors on surface morphology and texture during the cutting process, establishes the mapping between dynamic cutting system characteristics and surface morphology, 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, air source pressure fluctuation, feed shaft vibration, etc. into the classical theoretical cutting force model, an integrated model of micro-nano dynamic cutting system is constructed, and based on the influence of process parameters and tool parameters on the surface performance of the processing object, a machine tool cutting system model is established, and further a process parameter inverse model is established to reversely solve the performance indicators that meet the processing requirements, and establish relevant cutting processes that can meet the processing requirements.

[0076] S106, drawing a parameterized 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 the optimized values ​​corresponding to the parameters.

[0077] In this step, after obtaining the theoretical values ​​of each parameter in the above parameter allocation model, the generated key components or whole machine model parameters can be preliminarily physically modeled, and the physical model can be parameterized. Specifically, a 3D drawing software (such as solidworks, UG, CATIA, Creo, etc.) can be used to draw the physical 3D model of the whole machine tool according to the theoretical values ​​of each parameter. When drawing here, for example, each part or component can be drawn based on the underlying design parameters, and then the parts or components are assembled step by step to obtain the whole machine.

[0078] It should be noted that the physical 3D model of the machine tool drawn here is a parameterized physical 3D model. Optionally, the physical 3D model includes a parameterized physical 3D model of the parts, components and structural dimensions of the machine tool, and / or a parameterized physical 3D model of the components and assembly dimensions of the machine tool. Of course, it can also include component structural dimensions and assembly dimensions.

[0079] That is to say, 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 parameters of the upper layer of the underlying design parameters change, the structural dimensions of the parts, components and the whole machine in the physical three-dimensional model here (such as the parameter values ​​of the parts) can also be adjusted or changed accordingly, and the assembly dimensions of the components and the whole machine (such as the assembly distance between the components, etc.) can also be adjusted or changed accordingly. Among them, the variable structural dimensions are mainly characterized by the variable shape of the parts, components or the whole machine, and the variable assembly dimensions are mainly characterized by the variable positional relationship between the parts or components, so that the components or the whole machine with variable assembly dimensions can be obtained, so that the design of the components or the whole machine of the machine tool can be dynamically adjusted.

[0080] After obtaining the parametric physical three-dimensional model of the machine tool as mentioned above, simulation calculations can be performed on the basis of the parametric physical three-dimensional model with transformable key design parameters. The simulation calculations here can include, for example, single-field simulation verification, physical simulation of multi-field simulation coupling, etc. Ultimately, the detailed structural form and optimal size of the components and the whole machine can be obtained through simulation, and the optimized value of each parameter can be obtained, replacing the repeated trial and error method used in the traditional design process.

[0081] S108, assembling parts and components in the machine tool according to the optimized values ​​of each parameter, and measuring each parameter during the assembly process to determine the measurement value corresponding to each parameter.

[0082] In this step, after obtaining the optimized values ​​of each parameter in the design parameter tree, the parts and components can be assembled according to the optimized values ​​of each parameter. At the same time, during the assembly process, the values ​​of each parameter in the design parameter tree can be measured for each additional part or component. Finally, after the whole machine assembly test is completed, the measured values ​​of each parameter in the design parameter tree can be obtained.

[0083] For example, taking the guide rail as an example, the key parts in the guide rail component include the guide rail base, the guide rail pressure plate, and the guide slide, wherein the guide rail base is the basic component, and the liquid slider drives the guide slide to be installed between the guide rail base and the guide pressure plate to form a linear axis. In addition to analyzing the influence of the size error and shape error of each single part in the guide rail on the accuracy after assembly, it is also necessary to analyze the influence of the installation process on the performance parameters of the guide rail component after assembly based on the guide rail base.

[0084] Furthermore, a guide rail pressure plate is added to the guide rail base through bolt installation, and the straightness of the guide rail pressure plate is measured. The influence of the guide rail base and the guide rail pressure plate parts on the straightness accuracy of the guide rail pressure plate after assembly under different geometric tolerances is calculated. At the same time, the influence of the bolt installation method on the straightness accuracy of the pressure plate after assembly is observed to determine whether it is necessary to adjust the machining tolerance requirements of the parts, or adjust the bolt installation position and preload. Each time a part is installed, the installed parts are measured, and the relationship between the fixed installation process in the mating surface and the post-installation accuracy is observed in particular, and whether it is necessary to further improve the geometric tolerance of the parts, or change the installation process of the mating surface, in order to meet the accuracy requirements after this step of assembly.

[0085] S110, determining a correction value corresponding to each parameter in the design parameter tree according to a comparison result among the measured value of each parameter, the optimized value of each parameter and the theoretical value of each parameter.

[0086] In this step, after obtaining the measured values ​​of each parameter in the assembly test, the measured values ​​of the parameters can be compared with the corresponding optimized values ​​to determine whether the measured values ​​of the parameters are consistent or close to the corresponding optimized values, and / or the measured values ​​of the parameters can be compared with the corresponding theoretical values ​​to determine whether the measured values ​​of the parameters are consistent or close to the corresponding theoretical values. The comparison result can verify whether there are errors in the parameter allocation model and the physical three-dimensional model simulation process. If there are errors, the errors of the measured values ​​can be fed back to the parameter allocation model and the physical three-dimensional model simulation process, and the formulas and parameter values ​​in the parameter allocation model and the physical three-dimensional model simulation process can be corrected to obtain the corrected values ​​of each parameter.

[0087] Of course, see Figure 4The parameter loop diagram of the feedback mechanism shown in FIG. 1 is a diagram in which 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 also be used to correct or compensate the parameters in the entire machine tool design process, thereby forming a set of correction feedback mechanisms from theoretical calculation to experimental test results (test values) to design a machine tool that better meets the precision parameter requirements of the object to be processed. Finally, the correction values ​​of each parameter can be used for the processing and manufacturing of all parts and components of the machine tool, and based on this, it can be verified whether the precision parameters of the object to be processed by the machine tool meet the requirements.

[0088] The above-mentioned forward design method of machine tools, after obtaining the precision parameters of the object to be processed, constructs the design parameter tree of the machine tool according to the precision parameters and determines the initial values ​​of each parameter in the design parameter tree, then constructs the parameter allocation model according to the design parameter tree and performs theoretical calculations, and draws the parameterized physical three-dimensional model of the whole machine according to the theoretical values ​​of each parameter and simulates the physical three-dimensional model according to the initial values ​​to determine the optimized values ​​of each parameter, then assembles and measures the parts in the machine tool according to the optimized values ​​of each parameter to obtain the measured values ​​of each parameter, and finally determines the corrected values ​​of each parameter according to the comparison results between the measured values, optimized values ​​and theoretical values ​​of each parameter of the machine tool. In this method, since the theoretical value calculation, simulation calculation and assembly test measurement of the machine tool can be performed forward based on the precision parameters of the object to be processed to obtain the parameter values ​​of the designed machine tool, a top-down design closed loop is formed, 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. At the same time, the design parameters of the machine tool obtained through this forward design concept will not change due to different designers. Under the premise of ensuring the performance of the machine tool, it can not only improve the design accuracy of the machine tool, but also reduce the technical uncertainty in the design and processing process. In this way, it can avoid the situation where the design parameter accuracy is too high or does not meet the use requirements according to the definition of empirical values, thereby reducing the waste of test costs.

[0089] The following embodiments illustrate the process of performing simulation calculations on the parameterized physical three-dimensional model.

[0090] In one embodiment, the above S106 of simulating each parameter in the physical three-dimensional model according to the initial value of each parameter to determine the optimized value corresponding to each parameter may include the following step A.

[0091] Step A: construct a simulation calculation model under the thermal fluid-solid physical field according to the physical three-dimensional model, and use the initial values ​​of each parameter to simulate and calculate each parameter in the simulation calculation model to determine the optimization value corresponding to each parameter.

[0092] Among them, 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 among the structural field, the fluid field and the heat transfer field. The coupled-field simulation model is used to simulate and calculate the parameter values ​​of the machine tool under the condition of coupling of at least two physical fields among the structural field, the fluid field and the heat transfer field.

[0093] See also Figure 5 The flow chart of the simulation calculation model shown in the figure shows that after obtaining the parameterized physical three-dimensional model of the whole machine tool, a simulation calculation model of a single physical field or coupled physical field (i.e., multi-physical field) of the machine tool can be constructed. The simulation calculation model can include multi-physical field coupling calculations of fluid-solid simulation optimization, thermo-solid simulation optimization, and thermal-fluid-solid simulation optimization of key parts and components; it can also include single-field simulation calculations of the structural deformation, fluid deformation, and thermal deformation of the whole machine tool, for example, it can specifically include: 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.

[0094] Among them, the single-field (also referred to as structural single-field) simulation calculation of structural deformation may include: obtaining the detailed structural form, size and assembly relationship of key components and the whole machine through mechanical simulation, and at the same time calculating and verifying the static stiffness and dynamic stiffness of key components and the whole machine after the simulation is completed, so that the structural form and size of the whole machine or component after the simulation optimization is completed meet the performance index requirements.

[0095] The single-field (also referred to as fluid single-field) simulation calculation of fluid deformation may include: the use of fluid interface motion forms in ultra-precision machine tool motion units, typically gas hydrostatic spindles and liquid hydrostatic guides. In fluid simulation, the inlet and outlet structures, air film thickness and inlet and outlet pressures of the spindle bearing unit and the guide slider unit are changed to improve the stiffness and load-bearing capacity of the spindle and guide units and reduce the instability between the fluid-solid interface.

[0096] The single-field (also referred to as thermal stability single-field) simulation calculation of thermal deformation can include: simulating the influence of internal heat sources and external heat sources on the accuracy of machine tools, establishing a thermal-structural coupling simulation model, establishing an error database for the offline part with finite element simulation as a reference, and compensating for the thermal error of the machine tool.

[0097] Multi-physics field coupling (also referred to as coupled multi-field) simulation calculations may include: after completing the single physical field simulation calculations of structure, fluid, and heat transfer from the part level, component level, to the whole machine level, based on the single physical field calculation process and results, for the key components of the spindle and guide rails, cross-scale (i.e., multi-scale) coupled field simulation is carried out, with the focus on the thermal-solid coupling analysis of the heat dissipation deformation of the spindle component motor and the fluid-solid coupling analysis of the throttling performance of the guide rail component, and the underlying design parameters, structural dimensions, and assembly dimension parameters of the core parts of the key components are optimized.

[0098] Optionally, the above-mentioned simulation calculation model also includes parameter matching optimization calculation of machine tools at different scales from parts to components to the whole machine; that is, the above-mentioned simulation calculation model can also perform matching optimization calculation of parameters of parts-components-whole machines at different scales, that is, multi-scale optimization. Specifically, it can include: optimization of bearing capacity stiffness of the joint, optimization of part structure topology, optimization of boundary conditions, optimization of environmental parameters, optimization of parts and whole machine layout, optimization of process parameters, etc. It can be understood that the above-mentioned simulation calculation model can also be called a multi-scale / cross-scale simulation calculation model. The parameter matching optimization calculation at the above-mentioned different scales includes at least two of the following: optimization of deformation of the joint at a microscopic size of ≤0.1μm, optimization of deformation of parts at a mesoscopic size of 0.1μm to 100μm, and optimization of deformation of the whole machine at a macroscopic size of ≥100μm. Optionally, the above-mentioned 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.

[0099] In this embodiment, the design parameters of the machine tool are simulated and calculated by constructing a simulation calculation model of a parameterized physical three-dimensional model, so that the detailed structural form and optimal size of the parts and the whole machine can be obtained through simulation, replacing the method of repeated experiments in the traditional design process, saving the design cost of the machine tool. At the same time, by performing single-field and multi-coupled field simulation calculations on the design parameters of the machine tool, the design parameters of the machine tool can be simulated and calculated comprehensively, and the detailed structural form and optimal size of the parts and the whole machine can be obtained more objectively and accurately; at the same time, due to the comprehensive consideration of the machine tool's mechanical characteristics, thermal stability, flow field characteristics of the machine tool under the comprehensive effect of multiple physical fields, combined with the top-down design process from the object to be processed to all parts of the machine tool, it is no longer consistent with the imitation design process in the traditional design mode, breaking through the conventional design form, and truly realizing the forward design of the machine tool.

[0100] Furthermore, the above embodiment is an explanation of the process of how to perform simulation calculations when each parameter in the design parameter tree is a group / single group of initial values. In the actual simulation process, the initial values ​​of the above parameters may include at least two groups of initial values ​​corresponding to the underlying design parameters. Then, multiple groups of initial values ​​can be used for simulation to select the optimal value. The following embodiment explains this process.

[0101] In one embodiment, each parameter in the design parameter tree may include core physical property parameters of the machine tool and underlying design parameters of the machine tool, and the step A may include the following steps.

[0102] Using each group of initial values ​​of the underlying design parameters, the core physical property parameters in the simulation calculation model are simulated respectively to determine each group of simulation values ​​corresponding to the core physical property parameters; the best simulation value in each group of simulation values ​​is determined as the optimized value corresponding to the core physical property parameter, and a group of initial values ​​corresponding to the optimized value of the core physical property parameter is determined as the optimized value corresponding to the underlying design parameters.

[0103] Specifically, a simulation calculation can be performed each time using a set of initial values ​​of underlying design parameters to obtain a set of simulation values ​​of core physical property parameters, and multiple simulation calculation processes can be performed according to this process to obtain multiple sets of simulation values ​​of core physical property parameters. Then, the simulation values ​​of each set of core physical property parameters obtained by multiple simulation calculations can be compared, and the simulation value with the best performance can be selected as the optimized value of the core physical property parameter. For example, for the dynamic stiffness parameter among the core physical property parameters, the simulation value with the highest dynamic stiffness among the simulation values ​​of the dynamic stiffness parameter can be selected as the optimized value of the dynamic stiffness. While obtaining the optimized values ​​of the core physical property parameters, a set of initial values ​​of underlying design parameters corresponding to the optimized values ​​of the core physical property parameters can also be used as the optimized values ​​of the underlying design parameters.

[0104] In this embodiment, the core physical property parameters are simulated and calculated through the initial values ​​of multiple groups of underlying design parameters to obtain optimized values. This can achieve the adjustment of different parameters through the physical three-dimensional model of the parameterized object, and obtain the detailed structural form and optimal size of the parts and the whole machine through simulation, instead of the traditional design process using repeated experiments to achieve forward design of the machine tool.

[0105] The following embodiments illustrate the process of assembling and measuring the parts or components of a machine tool.

[0106] In one embodiment, the parameters in the design parameter tree may include: key performance parameters of the machine tool, core physical property parameters of the machine tool, and bottom-level design parameters of the machine tool; the above S108 may include the following steps B1-B3.

[0107] Step B1, according to the optimized values ​​of the core physical property parameters and the optimized values ​​of the underlying design parameters, at least one assembly process is used to assemble the parts and components in the machine tool, and in each assembly process, the key performance parameters and core physical property parameters of the installed components are measured 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.

[0108] Step B2: constructing an error transfer model based on at least one set of predicted values ​​of key performance parameters and at least one set of predicted values ​​corresponding to core physical property parameters, and optimizing the assembly process of the machine tool based on the error transfer model.

[0109] Step B3, assemble the parts and components in the machine tool using the optimized assembly process, and measure the key performance parameters of the installed components during the assembly process to determine the measurement values ​​corresponding to the key performance parameters and the measurement values ​​corresponding to the core physical property parameters.

[0110] Among them, a variety of different assembly processes can be designed in advance, and the assembly process here can include assembly process, assembly sequence, etc. Then, various assembly processes are adopted, and according to the optimized values ​​of the core physical property parameters of the machine tool parts and components and the optimized values ​​of the underlying design parameters, assembly tests are performed on the parts and components respectively, and the key performance parameters and core physical property parameters of the installed components or the whole machine are measured during the assembly test. Under the assembly test of each assembly process, 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 can be obtained.

[0111] Afterwards, the error accumulation data can be summarized based on the predicted values ​​of key performance parameters under assembly tests of various assembly processes and the predicted values ​​of core physical property parameters, and an error transfer model can be formed based on the error accumulation data and measurement data (i.e., predicted values) during the assembly test. This can help grasp the law of error accumulation during the assembly test, and use this model to predict the accuracy of assembled parts under different assembly methods, thereby optimizing the assembly process method.

[0112] Optionally, the error transfer model may include a part shape tolerance (i.e., tolerance parameter) transfer model, a joint posture error transfer model, a component position error transfer model, a whole machine axis error transfer model, etc. In other words, part shape tolerance, joint posture error, component position error, whole machine axis error, etc. may be measured and transferred.

[0113] See also Figure 6The flow chart of the error transfer model shown can first identify the source of error, such as manufacturing error, assembly error, measurement error, etc., and then construct the error transfer model, and assemble the parts and components in the machine tool through the assembly process to obtain the predicted values ​​and measured values ​​of the performance parameters. After that, the assembly can be optimized, such as optimizing the assembly process, assembly sequence, tolerance parameters, etc.

[0114] Specifically, the assembly process method can be optimized through the above-mentioned error transfer 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 can be measured during the assembly process to determine the measurement values ​​corresponding to the key performance parameters and the measurement values ​​corresponding to the core physical property parameters.

[0115] Furthermore, after obtaining the measured values, a comparison may be performed to adjust the parameter allocation model and the simulation calculation model. Optionally, the above S110 may include the following steps.

[0116] The measured values ​​of key performance parameters are compared with the theoretical values ​​of key performance parameters, and the measured values ​​of core physical property parameters are compared with the optimized values ​​of core physical property parameters; if the measured values ​​of key performance parameters do not meet the theoretical values ​​of key performance parameters, the parameter allocation model and each parameter therein are corrected or error compensated according to the measured values ​​of key performance parameters, and the corrected values ​​corresponding to each parameter in the design parameter tree are determined; and / or, if the measured values ​​of core physical property parameters do not meet the optimized values ​​of 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 core physical property parameters, and the corrected values ​​corresponding to each parameter in the design parameter tree are determined.

[0117] Among them, continuing to take the guide rail as an example, for example, if the measured value of the straightness of the guide rail pressure plate in the key performance parameters is less than the theoretical value of the straightness of the guide rail pressure plate, it means that the formula or parameter value in the parameter allocation model is not properly set, and the formula or parameter value in the parameter allocation model can be adjusted, such as by correcting or compensating the error of the formula or parameter value in the parameter allocation model through the above-mentioned error model or other methods, and obtaining the corrected value of each parameter in the parameter allocation model / design parameter tree. Or, for example, if the measured value of the dynamics of the guide rail pressure plate in the core physical property parameters is less than the optimized value of the dynamic stiffness of the guide rail pressure plate, it means that the formula or parameter value in the simulation calculation model is not properly set, and the formula or parameter value in the simulation calculation model can be adjusted, such as by correcting or compensating the error of the formula or parameter value in the simulation calculation model through the above-mentioned error model or other methods, and obtaining the corrected value of each parameter in the simulation calculation model / design parameter tree.

[0118] In this embodiment, the assembly process of the machine tool is optimized by constructing an error transfer model, so that a better assembly process can be obtained to assemble the parts of the machine tool and improve the accuracy of the assembled machine tool. Furthermore, when the measured values ​​of various parameters of the machine tool do not meet the theoretical values ​​or optimized values, feedback can be provided for correction, so that the accuracy of the designed machine tool can be further improved.

[0119] From the description of the above embodiments, it can be seen that the forward design method of the machine tool in the embodiment of the present invention starts from the precision parameter index of the object to be processed defined by the self-demand, and calculates the performance parameter index of the whole machine through the mapping model with the parameters that can achieve the precision of the object to be processed, and further calculates the component performance parameter index through the mapping model with the parameters that can achieve the performance of the whole machine, and further in order to achieve the performance index of each component, the core physical property parameters that can meet the performance of the component are calculated through the analytical model, and then the underlying design parameters of each component are calculated through the association model, thereby completing the requirements from the precision parameter requirements of the object to be processed to the design parameters of all parts of the machine tool, forming a complete design closed loop from top to bottom, and also following the forward design concept.

[0120] In addition, in the design process, all the underlying design parameters obtained through theoretical calculations are completed through mapping models, analytical models and association models, and all design parameters are further established into a physical three-dimensional model. Simulation calculations are performed through multi-physical field and multi-scale simulation calculation models to optimize all design parameters. The processing test measurements of key components are completed through the optimized key parameters, and the test results are used to feed back and correct the design parameters of theoretical calculations and the parameters of optimized simulation. Finally, the corrected parameters are used for the processing and manufacturing of the whole machine. The design process includes complete research and development means of theoretical calculation, simulation optimization, and test measurement, and they are integrated with each other.

[0121] It can be seen that the forward design method of the machine tool in the embodiment of the present invention can develop machine tools or ultra-precision machine tools of different specifications in response to the precision requirements of different processing objects. At the same time, under the premise of clear definition of requirements, the parameter allocation model after theoretical calculation, the optimization value after simulation calculation and the feedback mechanism after experimental measurement can obtain all the key underlying design parameters of the machine tool involving parts-components-whole machines. The design parameters of the machine tool obtained in this way will not change due to different designers. Under the premise of ensuring the performance of the machine tool, it can not only improve the design accuracy of the machine tool, but also reduce the technical uncertainty in the design and processing process; at the same time, it can avoid the situation where the design parameter accuracy is too high or does not meet the use requirements according to the definition of the empirical value, and reduce the test cost. At the same time, at the beginning of the design, by comprehensively considering the change of the machine tool accuracy under the comprehensive action of the multi-physical field of the mechanical characteristics, thermal stability and flow field characteristics of the machine tool, the top-down design process from the object to be processed to all parts of the machine tool is realized, which 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.

[0122] The machine tool forward design device provided by the present invention is described below. The machine tool forward design device described below and the machine tool forward design method described above can be referenced to each other.

[0123] Figure 7 is a schematic diagram of the structure of the machine tool forward design device provided by the present invention, see Figure 7 As shown, the device may include the following modules.

[0124] The initial value determination module 710 is used to obtain the precision parameters of the object to be processed, and to construct a design parameter tree of the machine tool according to the precision parameters and to determine the initial values ​​of each parameter in the design parameter tree; the above-mentioned design parameter tree includes each parameter and the relationship between each parameter.

[0125] The parameter allocation module 720 is used to construct a parameter allocation model corresponding to the machine tool according to the design parameter tree, and perform theoretical calculations on each parameter in the parameter allocation model to determine a theoretical value corresponding to each parameter.

[0126] The simulation calculation module 730 is used to draw a parameterized physical three-dimensional model of the machine tool according to the theoretical values ​​of each parameter, and simulate each parameter in the physical three-dimensional model according to the initial values ​​of each parameter to determine the optimized value corresponding to each parameter.

[0127] The measurement module 740 is used to assemble parts and components in the machine tool according to the optimized values ​​of each parameter, and to measure each parameter during the assembly process to determine the measurement value corresponding to each parameter.

[0128] The correction module 750 is used to determine the correction value corresponding to each parameter in the design parameter tree according to the comparison results between the measured value of each parameter, the optimized value of each parameter and the theoretical value of each parameter.

[0129] In one embodiment, the simulation calculation module 730 is specifically used to

[0130] A simulation calculation model under the thermal fluid-solid physical field is constructed according to the physical three-dimensional model, and each parameter in the simulation calculation model is simulated and calculated using the initial value of each parameter to determine the optimization value corresponding to each parameter;

[0131] Among them, 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 among the structural field, the fluid field and the heat transfer field. The coupled-field simulation model is used to simulate and calculate the parameter values ​​of the machine tool under the condition of coupling of at least two physical fields among the structural field, the fluid field and the heat transfer field.

[0132] In one embodiment, each parameter in the design parameter tree includes: the core physical property parameters of the machine tool and the underlying design parameters of the machine tool, and the initial value of each parameter includes at least two groups of initial values ​​corresponding to the underlying design parameters; the simulation calculation module 730 is specifically used for

[0133] Using each group of initial values ​​of the underlying design parameters, respectively simulate the core physical property parameters in the simulation calculation model to determine each group of simulation values ​​corresponding to the core physical property parameters;

[0134] The best simulation value in each group of simulation values ​​is determined as the optimized value corresponding to the core physical property parameter, and a group of initial values ​​corresponding to the optimized value of the core physical property parameter is determined as the optimized value corresponding to the underlying design parameter.

[0135] In one embodiment, the parameters in the design parameter tree include: key performance parameters of the machine tool, core physical parameters of the machine tool, and bottom-level design parameters of the machine tool; the measurement module 740 is specifically used to

[0136] According to the optimized values ​​of the core physical property parameters and the optimized values ​​of the underlying design parameters, at least one assembly process is used to assemble the parts and components in the machine tool, and in each assembly process, the key performance parameters and the core physical property parameters of the installed components are measured 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;

[0137] Building an error transfer model based on at least one set of predicted values ​​of key performance parameters and at least one set of predicted values ​​corresponding to core physical property parameters, and optimizing the assembly process of the machine tool based on the error transfer model;

[0138] The optimized assembly process is used to assemble the parts and components in the machine tool, and the key performance parameters of the installed components are measured during the assembly process to determine the measurement values ​​corresponding to the key performance parameters and the measurement values ​​corresponding to the core physical property parameters.

[0139] In one embodiment, the correction module 750 is specifically used to

[0140] Compare the measured values ​​of key performance parameters with the theoretical values ​​of key performance parameters, and compare the measured values ​​of core physical property parameters with the optimized values ​​of core physical property parameters;

[0141] 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 the parameters therein are corrected or error compensated according to the measured values ​​of the key performance parameters, and the corrected values ​​corresponding to the parameters in the design parameter tree are determined; 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 the parameters therein are corrected or error compensated according to the measured values ​​of the core physical property parameters, and the corrected values ​​corresponding to the parameters in the design parameter tree are determined.

[0142] In one embodiment, the parameters in the above-mentioned design parameter tree include: key performance parameters of the machine tool, core physical property parameters of the machine tool and underlying design parameters of the machine tool. The above-mentioned key performance parameters include whole machine performance parameters, component performance parameters and part joint performance parameters. The component performance parameters include linear axis performance parameters and rotary axis performance parameters.

[0143] In one embodiment, the parameter allocation model includes a mapping model, a parsing model and an association model;

[0144] The above mapping model is used to establish a mapping relationship between the precision parameters of the object to be processed and the performance parameters of the whole machine, and a mapping relationship between the performance parameters of the whole machine and the performance parameters of the components;

[0145] The above analytical model is used to establish analytical calculations of part joint performance parameters and core physical property parameters, component performance parameters and core physical property parameters, and overall machine performance parameters and core physical property parameters;

[0146] The above correlation model is used to establish the correlation relationship between core physical property parameters and underlying design parameters.

[0147] In one embodiment, the above-mentioned physical three-dimensional model includes a physical three-dimensional model after parameterizing the structural dimensions of the parts, components and the whole machine in the machine tool, and / or a physical three-dimensional model after parameterizing the assembly dimensions of the components and the whole machine in the machine tool.

[0148] In one embodiment, the simulation calculation model further includes parameter matching optimization calculations at different scales of the machine tool from parts to components to the entire machine;

[0149] The parameter matching optimization calculations at the above-mentioned different scales include at least two of the following: deformation optimization of joints at a microscopic scale of ≤0.1μm, deformation optimization of parts at a mesoscopic scale of 0.1μm to 100μm, and deformation optimization of the entire machine at a macroscopic scale of ≥100μm.

[0150] In one embodiment, the above-mentioned joint portion 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, an adhesive joint surface, and an interference fit joint surface.

[0151] Figure 8 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 8 As shown, the electronic device may include: a processor (processor) 810, a communication interface (Communications Interface) 820, a memory (memory) 830 and a communication bus 840, wherein the processor 810, the communication interface 820, and the memory 830 communicate with each other through the communication bus 840. The processor 810 can call the logic instructions in the memory 830 to execute the machine tool forward design method, which includes: obtaining the precision parameters of the object to be processed, 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 above-mentioned design parameter tree includes each parameter and the association relationship between each parameter; constructing a parameter allocation model corresponding to the machine tool according to the design parameter tree, and theoretically calculating each parameter in the parameter allocation model to determine the theoretical value corresponding to each parameter; drawing a parameterized physical three-dimensional model of the whole machine 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 corresponding to each parameter; assembling the 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 corresponding to each parameter; determining the correction value corresponding to each parameter in the design parameter tree according to the comparison results between the measured value of each parameter, the optimized value of each parameter and the theoretical value of each parameter.

[0152] In addition, the logic instructions in the above-mentioned memory 830 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0153] On the other hand, the present invention also provides a computer program product, which includes a computer program, which can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the machine tool forward design method provided by the above methods, which method includes: obtaining the precision parameters of the object to be processed, 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 above design parameter tree includes each parameter and the association relationship between each parameter; constructing a parameter allocation model corresponding to the machine tool according to the design parameter tree, and performing theoretical calculations on each parameter in the parameter allocation model to determine the theoretical value corresponding to each parameter; drawing a parameterized 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 corresponding to 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 corresponding to each parameter; determining the correction value corresponding to each parameter in the design parameter tree according to the comparison results between the measured value of each parameter, the optimized value of each parameter and the theoretical value of each parameter.

[0154] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the machine tool forward design method provided by the above-mentioned methods, 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 the initial values ​​of the parameters in the design parameter tree; the above-mentioned design parameter tree includes the parameters and the associations between the parameters; constructing a parameter allocation model corresponding to the machine tool according to the design parameter tree, and performing theoretical calculations on the parameters in the parameter allocation model to determine the theoretical values ​​corresponding to the parameters; drawing a parameterized physical three-dimensional model of the whole machine 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 the optimized values ​​corresponding to the parameters; assembling 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 ​​corresponding to the parameters; determining the correction values ​​corresponding to 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.

[0155] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0156] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for 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.

[0157] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A machine tool forward design method, characterized in that: include: Acquire precision parameters of the object to be processed, construct a design parameter tree of the machine tool according to the precision parameters, and determine the initial value of each parameter in the design parameter tree; The design parameter tree includes various 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 calculations on each parameter in the parameter allocation model to determine a theoretical value corresponding to each parameter; Draw a parameterized physical three-dimensional model of the machine tool according to the theoretical values ​​of each parameter, and simulate each parameter in the physical three-dimensional model according to the initial values ​​of each parameter to determine the optimized value corresponding to each parameter; Assembling parts and components in the machine tool according to the optimized values ​​of each parameter, and measuring each parameter during the assembly process to determine the measured value corresponding to each parameter; According to the comparison results among the measured values ​​of each parameter, the optimized values ​​of each parameter and the theoretical values ​​of each parameter, the correction values ​​corresponding to each parameter in the design parameter tree are determined.

2. The machine tool forward design method according to claim 1, characterized in that: The simulating each parameter in the physical three-dimensional model according to the initial value of each parameter to determine the optimization value corresponding to each parameter includes: Constructing a simulation calculation model under a thermal-fluid-solid physical field according to the physical three-dimensional model, and performing simulation calculation on each parameter in the simulation calculation model using the initial value of each parameter to determine the optimization value corresponding to each parameter; Among them, 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 among the structural field, the fluid field and the heat transfer field. The coupled-field simulation calculation model is used to simulate and calculate the parameter values ​​of the machine tool when at least two physical fields among the structural field, the fluid field and the heat transfer field are coupled.

3. The machine tool forward design method according to claim 2, characterized in that: The parameters in the design parameter tree include: core physical parameters of the machine tool and underlying design parameters of the machine tool, and the initial values ​​of the parameters include at least two groups of initial values ​​corresponding to the underlying design parameters; the initial values ​​of the parameters are used to perform simulation calculations on the parameters in the simulation calculation model to determine the optimization values ​​corresponding to the parameters, including: Using each group of initial values ​​of the underlying design parameters, respectively simulate the core physical property parameters in the simulation calculation model to determine each group of simulation values ​​corresponding to the core physical property parameters; The best simulation value in each group of simulation values ​​is determined as the optimized value corresponding to the core physical property parameter, and a group of initial values ​​corresponding to the optimized value of the core physical property parameter is determined as the optimized value corresponding to the underlying design parameter.

4. The machine tool forward design method according to any one of claims 1 to 3, characterized in that: The parameters in the design parameter tree include: key performance parameters of the machine tool, core physical parameters of the machine tool, and bottom-level design parameters of the machine tool; assembling 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 ​​corresponding to the parameters, including: According to the optimized values ​​of the core physical property parameters and the optimized values ​​of the underlying design parameters, at least one assembly process is used to assemble the parts and components in the machine tool, and during each assembly process, the key performance parameters and the core physical property parameters of the installed components are measured 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; Constructing an error transfer model according to at least one set of predicted values ​​of the key performance parameters and at least one set of predicted values ​​corresponding to the core physical property parameters, and optimizing the assembly process of the machine tool according to the error transfer model; The parts and components in the machine tool are assembled using the optimized assembly process, and the key performance parameters of the installed components are measured during the assembly process to determine the measurement values ​​corresponding to the key performance parameters and the measurement values ​​corresponding to the core physical property parameters.

5. The machine tool forward design method according to claim 4, characterized in that: Determining the correction value corresponding to 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 includes: Comparing the measured value of the key performance parameter with the theoretical value of the key performance parameter, and comparing the measured value of the core physical property parameter 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 corrected value corresponding to 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 corresponding to each parameter in the design parameter tree.

6. The machine tool forward design method according to any one of claims 1 to 3, characterized in that: The parameters in the design parameter tree include: key performance parameters of the machine tool, core physical property parameters of the machine tool and underlying design parameters of the machine tool. The key performance parameters include whole machine performance parameters, component performance parameters and part joint performance parameters. The component performance parameters include linear axis performance parameters and rotary axis performance parameters.

7. The machine tool forward design method according to claim 6, characterized in that: The parameter allocation model includes a mapping model, a parsing model and an association model; The mapping model is used to establish a mapping relationship between the precision parameter of the object to be processed and the performance parameter of the whole machine, and a mapping relationship between the performance parameter of the whole machine and the performance parameter of the component; The analytical model is used to establish analytical calculations of the part joint performance parameters and the core physical property parameters, the component performance parameters and the core physical property parameters, and the whole machine performance parameters and the core physical property parameters; The association model is used to establish an association relationship between the core physical property parameters and the underlying design parameters.

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

9. The machine tool forward design method according to claim 2 or 3, characterized in that: The simulation calculation model also includes parameter matching optimization calculations for the machine tool at different scales from parts to components to the entire machine; The parameter matching optimization calculations at different scales include at least two of the following: deformation optimization of joints at a microscopic scale of ≤0.1 μm, deformation optimization of parts at a mesoscopic scale of 0.1 μm to 100 μm, and deformation optimization of the entire machine at a macroscopic scale of ≥100 μm.

10. The machine tool forward design method according to claim 9, characterized in that: The joint portion 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, an adhesive joint surface, and an interference fit joint surface.

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