Method and system for optimizing power and position parameters of active temperature control source for machine tools

Abstract

The present invention discloses a method and system for optimizing the power and position parameters of an active temperature control source for a machine tool, belonging to the field of mechanical processing technology, including S1, establishing a quantitative relationship between different powers and positions of a temperature control source and thermal deformation; S2, reducing the thermal error of machine tool processing by adjusting the position and power of the temperature control source through an active temperature control strategy; S3, developing a corresponding energy-saving active temperature control system for engineering applications. The method and system for optimizing the power and position parameters of an active temperature control source for a machine tool provided by the present invention first analyzes and summarizes the influence of the power of the temperature control source on thermal deformation by simulating and analyzing the heat source temperature field and deformation field of the heat dissipation model of the machine tool, and uses a neural network to reveal the influence of the position of the temperature control source on thermal deformation, and then formulates an active temperature control strategy for finding the optimal power and position of the temperature control source, and finally establishes a corresponding energy-saving active temperature control system for engineering applications to reduce the thermal error of the machine tool and improve the processing accuracy of parts.

Description

Technical Field

[0001] The present invention relates to the technical field of mechanical processing, and in particular to a method and system for optimizing power and position parameters of an active temperature control source of a machine tool. Background Art

[0002] High-end CNC machine tools are increasingly being used in automotive, shipbuilding, aerospace, medical device, and other fields. The performance of precision machine tool manufacturing is a key indicator of manufacturing capabilities. The key to improving precision machine tool manufacturing performance is reducing manufacturing errors, of which thermally induced errors can account for 60-75%. To mitigate thermally induced errors in precision machine tools, structural thermal balance design, thermal error compensation, and active temperature field control are the primary approaches to reducing or suppressing these errors. Active temperature field control has attracted widespread attention due to its low cost and ease of operation. The principle of active temperature field control is to modify the machine tool's temperature field by deploying active temperature-controlled cooling / heating sources on the machine tool, thereby regulating the deformation field of key functional components. Ultimately, this minimizes the relative positional variation between the tool and the workpiece, improving manufacturing errors. However, due to factors such as the diversity of machine tool types, structural complexity, and the time-varying nature of their operating conditions, while the thermal characteristics of machine tools have been well studied, the underlying universal thermal laws have not been systematically summarized. Although active temperature control methods have been applied, there is no corresponding temperature control strategy and engineering application system, which cannot achieve the optimal effect of reducing the impact of thermal errors on machining accuracy. It is necessary to summarize the thermal characteristics and propose an active thermal error control strategy. Therefore, it is urgent to find the optimal parameters of the active temperature control source to achieve the best machine tool manufacturing error control effect, and to develop an engineering application system that takes energy saving into consideration. Summary of the Invention

[0003] The purpose of the present invention is to provide a method and system for optimizing the power and position parameters of an active temperature control source of a machine tool, so as to solve the problems existing in the above-mentioned background technology.

[0004] To achieve the above object, the present invention provides a method for optimizing the power and position parameters of an active temperature control source of a machine tool, comprising the following steps:

[0005] S1. Establish a quantitative relationship between different power and position of the temperature control source and thermal deformation, including:

[0006] S11. Establish a heat dissipation model and a machine tool processing error evaluation model for machine tool thermal simulation analysis;

[0007] S12. Use the inductive method to establish the quantitative relationship between the temperature control source power and thermal deformation;

[0008] S13. Using neural network method to establish the quantitative relationship between the temperature control source position and thermal deformation;

[0009] S2: Active temperature control strategy that adjusts the position and power of the temperature control source to achieve the best effect of reducing the thermal error of machine tool processing, including:

[0010] S21. Establishing an evaluation index for thermal error or thermal deformation degree of machine tool processing;

[0011] S22, solving the degree of machine tool processing error for different temperature control source position and power combinations, and finding the optimal combination value;

[0012] S3. Develop corresponding energy-saving active temperature control systems for engineering applications.

[0013] Preferably, step S11 specifically includes: based on the actual structure of the machine tool, simplifying and deleting the small structure during the modeling process to establish a simplified structure model of the machine tool, and then using the heat generation and heat transfer mechanism of the internal heat source of the machine tool under different working conditions to establish a heat generation and dissipation model of the machine tool; according to the transmission mechanism of the machine tool processing error, the thermal deformation of the machine tool that seriously affects the relative position of the tool and the workpiece is analyzed to establish a machine tool processing error evaluation model; and identifying the pending parameters of the two models.

[0014] Preferably, step S12 is specifically as follows: through a large number of simulation experiments on different heat sources, including the relationship between the superimposed thermal deformation caused by a single heat source and the thermal deformation caused by superimposed heat sources, the thermal deformation caused by heat sources with different thermal powers, etc., the quantitative relationship between the temperature control source power and the thermal deformation is summarized, and the principle similar to the thermal Hooke's law between the thermal power and the machine tool processing error evaluation model is revealed.

[0015] Preferably, step S13 is specifically as follows: based on the thermal deformation generated by the active temperature control source at different positions obtained by the simulation experiment, the thermal deformation is expressed by appropriate data, a neural network method is used with the temperature control source position value as input, and appropriate thermal deformation description data as output, and a neural network fitting algorithm is used to construct a relationship between the temperature control source position and the machine tool processing error to obtain a prediction function, thereby revealing the quantitative relationship between the two.

[0016] Preferably, step S21 is specifically as follows: based on the simulation results under different working conditions of the machine tool, an index for evaluating the machining error of the machine tool is established on the basis of comprehensively considering the difference between the machining error after temperature control and the machining error before temperature control, so as to evaluate the quality of the temperature control effect.

[0017] Preferably, step S22 is specifically as follows: using finite element simulation software to traverse the machine tool processing errors under different combinations of temperature control source power and position, obtain its changing trend, and obtain the power and position values when the machine tool processing error degree evaluation index is optimal.

[0018] Preferably, step S3 is specifically as follows: using the power and position values obtained in step S22, establishing a corresponding engineering application energy-saving active temperature control system for this machine tool, and this system should comprehensively consider the comprehensive optimal effect of system energy consumption and processing error.

[0019] The present invention also provides a system for optimizing power and position parameters of an active temperature control source for a machine tool, comprising:

[0020] Model building module: Establishes a heat dissipation model for the machine tool based on the machine tool working conditions and identifies the model parameters; specifically includes:

[0021] Model building unit No. 1, establishes the heat dissipation model of the machine tool;

[0022] Model building unit No. 2, to establish a machine tool processing error evaluation model;

[0023] Identify the undetermined parameters unit, which identifies the undetermined parameters in the machine tool heat dissipation model and the processing error evaluation model based on the machine tool usage condition data;

[0024] Analysis module: This module uses an active temperature control strategy that adjusts the position and power of the temperature control source to achieve the best effect of reducing thermal errors in machine tool processing. Specifically, it includes:

[0025] Evaluation unit, establishing evaluation indicators for machine tool processing error levels;

[0026] Solving unit, solving the thermal deformation degree of different temperature control source positions and power combinations, and finding the optimal combination value;

[0027] Application module: Apply the optimal temperature control source power and position parameters in engineering to achieve the best effect of reducing machine tool processing errors.

[0028] Preferably, the construction process of the first model construction unit is as follows: based on the actual structure of the machine tool, small structures are simplified and deleted during the modeling process to establish a simplified structure model of the machine tool; and then, using the heat generation and heat transfer mechanism of the internal heat source of the machine tool under different working conditions, a heat generation and heat dissipation model of the machine tool is established;

[0029] The construction process of the second model construction unit is as follows: according to the transmission mechanism of machine tool processing errors, the machine tool thermal deformation that seriously affects the relative position of the tool and workpiece is analyzed, and a machine tool processing error evaluation model is established;

[0030] The working process of identifying the undetermined parameter unit is as follows: determining the corresponding thermal boundary conditions in the heat dissipation model of the machine tool according to the actual heat generation and dissipation of the internal heat source under different working conditions; and determining the error transfer process and final concentration point in the machine tool processing error evaluation model according to the actual assembly relationship of the machine tool structural parts.

[0031] Preferably, the working process of the evaluation unit is as follows: based on the final concentration point in the machine tool processing error evaluation model, based on the simulation results under different working conditions of the machine tool, and taking into account the difference between the processing error after temperature control and the processing error before temperature control, an index for evaluating the processing error of the machine tool is established using a mathematical method to evaluate the quality of the temperature control effect;

[0032] The solution process of the solution unit is as follows: using finite element simulation software to traverse the machine tool processing error under different combinations of temperature control source power and position, revealing the change trend, and finding the power and position values that make the machine tool processing error degree evaluation index optimal;

[0033] The application process of the application module is: engineering application of the optimal temperature control source power and position parameters for this machine tool, which takes into account the comprehensive optimal effect of system energy consumption and processing error.

[0034] Therefore, the present invention adopts the above-mentioned method and system for optimizing the power and position parameters of the active temperature control source of the machine tool to overcome the drawbacks existing in the existing active temperature field control process of the machine tool: only considering the direct effect of the active temperature control source on adjusting the thermal error, it is impossible to accurately reflect the quantitative relationship between the thermal power and position of the active temperature control source and the thermal deformation; only considering the influence of the change of a single indicator on the machine tool processing error, it is impossible to accurately reveal the machine tool processing error when the power and position of the temperature control source change simultaneously; the active temperature control system for engineering applications has not been developed; the present invention adopts the induction method and the neural network method to establish the quantitative relationship law between the thermal power and position of the active temperature control source and the thermal deformation, and achieves the best effect of reducing the thermal error of the machine tool processing through the active temperature control strategy of simultaneously adjusting the power and position of the temperature control source, and develops the corresponding active temperature control system for engineering applications, which can realize the active temperature field control of the machine tool in a quantitative, comprehensive, complete and practical way.

[0035] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 Flowchart of the method for optimizing the power and position parameters of the active temperature control source of a machine tool according to the present invention;

[0037] Figure 2 A flow chart for establishing a quantitative relationship between different powers and positions of a temperature control source and thermal deformation in an embodiment of the present invention;

[0038] Figure 3 This is a flow chart showing how to achieve the best effect of reducing thermal errors in machine tool processing according to an embodiment of the present invention. DETAILED DESCRIPTION

[0039] The following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but rather merely represents selected embodiments of the present invention. All other embodiments derived by persons of ordinary skill in the art based on the embodiments of the present invention without inventive effort shall fall within the scope of protection of the present invention.

[0040] See also Figure 1-Figure 3 , a method for optimizing power and position parameters of a machine tool active temperature control source, comprising the following steps:

[0041] S1. Establish a quantitative relationship between different power and position of the temperature control source and thermal deformation; including:

[0042] S11. Based on the actual structure of the machine tool, the small structures are simplified and deleted during the modeling process to establish a simplified structural model of the machine tool. Then, the heat generation and heat transfer mechanism of the internal heat source of the machine tool under different working conditions are used to establish a heat generation and heat dissipation model of the machine tool. According to the transmission mechanism of the machine tool processing error, the thermal deformation of the machine tool that affects the relative position of the tool and the workpiece is analyzed to establish a machine tool processing error evaluation model. The pending parameters of the two models are identified.

[0043] S12. Through a large number of simulation experiments on different heat sources, including the relationship between superimposed thermal deformation caused by a single heat source and thermal deformation caused by superimposed heat sources, and thermal deformation caused by heat sources with different thermal powers, the quantitative relationship between temperature control source power and thermal deformation is summarized, revealing the principle similar to thermal Hooke's law between thermal power and machine tool processing error evaluation model.

[0044] S13. Based on the thermal deformation generated by the active temperature control source at different locations obtained from simulation experiments, the thermal deformation is described using appropriate data. A neural network method is used with the temperature control source position as input and appropriate thermal deformation description data as output. A neural network fitting algorithm is used to construct a prediction function for the relationship between the temperature control source position and the machine tool processing error, revealing the quantitative relationship between the two.

[0045] S2. An active temperature control strategy that adjusts the position and power of the temperature control source achieves the best effect of reducing thermal errors in machine tool processing. This includes the following steps:

[0046] S21. Based on the simulation results under different working conditions of the machine tool, an index for evaluating the machining error of the machine tool is established on the basis of comprehensively considering the difference between the machining error after temperature control and the machining error before temperature control. This index is used to evaluate the quality of the temperature control effect.

[0047] S22. Use finite element simulation software to traverse the machine tool processing errors under different combinations of temperature control source power and position, reveal the changing trend, and obtain the power and position values that make the machine tool processing error degree evaluation index optimal.

[0048] S3. Use the method of finding the optimal power and position of the active temperature control source to establish a corresponding energy-saving active temperature control system for engineering applications. This system must comprehensively consider the optimal effect of system energy consumption and processing errors.

[0049] The power and position parameter optimization system for active temperature control sources of machine tools includes:

[0050] Model construction module: establishes the machine tool heat dissipation model and the machine tool processing error evaluation model according to the machine tool working conditions, and identifies the model parameters; specifically includes:

[0051] The No. 1 model construction unit establishes a heat dissipation model of the machine tool; based on the actual structure of the machine tool, the small structures are simplified and deleted during the modeling process to establish a simplified structure model of the machine tool, and then the heat generation and heat transfer mechanism of the internal heat source of the machine tool under different working conditions are used to establish the heat dissipation model of the machine tool.

[0052] The No. 2 model construction unit establishes a machine tool processing error evaluation model; based on the transmission mechanism of the machine tool processing error, the machine tool thermal deformation that seriously affects the relative position of the tool and the workpiece is analyzed to establish a machine tool processing error evaluation model.

[0053] Identify the parameter units to be determined, and determine the corresponding thermal boundary conditions in the machine tool's heat dissipation model based on the actual heat dissipation of the internal heat source under different working conditions such as feed speeds; determine the error transfer process and final concentration point in the machine tool processing error evaluation model based on the actual assembly relationship of the machine tool structural parts.

[0054] Analysis module: Active temperature control strategy that adjusts the position and power of the temperature control source to achieve the best effect of reducing thermal errors in machine tool processing. Includes:

[0055] The evaluation unit establishes an index for evaluating the machine tool processing error based on the final concentration point in the machine tool processing error evaluation model and the simulation results under different working conditions of the machine tool, and on the basis of comprehensively considering the difference between the processing error after temperature control and the processing error before temperature control. This index is used to evaluate the quality of the temperature control effect.

[0056] The solving unit uses finite element simulation software to traverse the machine tool processing error under different combinations of temperature control source power and position, reveal the change trend, and obtain the power and position values that make the machine tool processing error degree evaluation index optimal.

[0057] Application module: The optimal temperature control source power and position parameters for this machine tool are applied in engineering, which comprehensively considers the optimal effect of system energy consumption and processing error.

[0058] In this embodiment, a computer program for implementing the above-mentioned method and system for optimizing the power and position parameters of the active temperature control source of a machine tool is also provided.

[0059] In this embodiment, an information data processing terminal for implementing the above-mentioned method and system for optimizing the power and position parameters of the active temperature control source of the machine tool is also provided.

[0060] In this embodiment, a computer-readable storage medium is also provided, comprising instructions, which, when executed on a computer, enable the computer to execute the method for optimizing the power and position parameters of the machine tool active temperature control source in the above embodiment.

[0061] In the above embodiments, all or part of the embodiments can be implemented by software, hardware, firmware, or any combination thereof. When implemented in whole or in part in the form of a computer program product, the computer program product includes one or more computer instructions. When the computer program instructions are loaded or executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via a wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL) or wireless (e.g., infrared, wireless, microwave, etc.)) method. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media integrated. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state drive (SSD)).

[0062] Therefore, the present invention utilizes the aforementioned method and system for optimizing the power and position parameters of active temperature control sources for machine tools. First, through simulation analysis of the heat source temperature and deformation fields of a machine tool's heat dissipation model, the influence of the temperature control source's thermal power on thermal deformation is analyzed and summarized. A neural network approach is then used to reveal the influence of the temperature control source's position on thermal deformation. Because position and power are easily adjustable among all parameters of an active temperature control source, an active temperature control strategy is then developed to find the optimal temperature control source power and position. Finally, a corresponding energy-saving active temperature control system for engineering applications is established to reduce thermally induced errors in machine tools and improve part machining accuracy.

[0063] 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 the same. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that they can still modify or replace the technical solutions of the present invention with equivalents, and these modifications or equivalent replacements cannot cause the modified technical solutions to deviate from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for optimizing power and position parameters of an active temperature control source for a machine tool, characterized in that: The following steps are involved: S1. Establish a quantitative relationship between different power and position of temperature control source and thermal deformation, including: S11. Establish a heat dissipation model and a machine tool processing error evaluation model for machine tool thermal simulation analysis; S12. Use the inductive method to establish the quantitative relationship between the temperature control source power and thermal deformation; S13. Using a neural network method to establish a quantitative relationship between the temperature control source position and thermal deformation; S2. Active temperature control strategy that adjusts the position and power of the temperature control source to reduce the thermal error of machine tool processing. Specifically, it includes: S21. Develop evaluation indicators for machine tool processing error levels; S22, solving the degree of machine tool processing error for different temperature control source position and power combinations, and finding the optimal combination value; S3. Develop corresponding engineering application energy-saving active temperature control system; Step S11 specifically includes: based on the actual structure of the machine tool, simplifying and deleting small structures during the modeling process to establish a simplified structural model of the machine tool; then using the heat generation and heat transfer mechanism of the internal heat source of the machine tool under different working conditions to establish a heat generation and heat dissipation model of the machine tool; analyzing the thermal deformation of the machine tool that affects the relative position of the tool and workpiece based on the transmission mechanism of the machine tool processing error, and establishing a machine tool processing error evaluation model; and identifying the undetermined parameters of the two models; Step S12 is specifically as follows: through simulation experiments on different heat sources, including the relationship between the superimposed thermal deformation caused by a single heat source and the thermal deformation caused by superimposed heat sources, and the thermal deformation caused by heat sources with different thermal powers, the quantitative relationship between the temperature control source power and the thermal deformation is summarized, and the principle between the thermal power and the machine tool processing error evaluation model is revealed.

2. The method for optimizing power and position parameters of a machine tool active temperature control source according to claim 1, characterized in that: Step S13 is specifically as follows: based on the thermal deformation generated by the active temperature control source at different positions obtained in the simulation experiment, the thermal deformation is expressed by data, a neural network method is used with the temperature control source position value as input and the thermal deformation description data as output, and a neural network fitting algorithm is used to construct a prediction function between the temperature control source position and the machine tool processing error, thereby revealing the quantitative relationship between the two.

3. The method for optimizing power and position parameters of a machine tool active temperature control source according to claim 1, characterized in that: Step S21 is specifically as follows: based on the simulation results under different working conditions of the machine tool, an index for evaluating the machining error of the machine tool is established on the basis of comprehensively considering the difference between the machining error after temperature control and the machining error before temperature control, so as to evaluate the quality of the temperature control effect.

4. The method for optimizing power and position parameters of a machine tool active temperature control source according to claim 1, characterized in that: Step S22 is specifically as follows: using finite element simulation software to traverse the machine tool processing errors under different combinations of temperature control source power and position, obtain its change trend, and find the power and position values when the machine tool processing error degree evaluation index is optimal.

5. The method for optimizing power and position parameters of a machine tool active temperature control source according to claim 1, characterized in that: Step S3 specifically includes: using the power and position values obtained in step S22 to establish a corresponding engineering application energy-saving active temperature control system for this machine tool.

6. The system for optimizing the power and position parameters of the active temperature control source of a machine tool is characterized by: include: Model building module: Establishes a heat dissipation model for the machine tool based on the machine tool working conditions and identifies the model parameters; specifically includes: Model building unit No. 1, establishes the heat dissipation model of the machine tool; Model building unit No. 2, to establish a machine tool processing error evaluation model; Identification unit for undetermined parameters, which identifies undetermined parameters in the machine tool heat dissipation model and the machine tool processing error evaluation model based on the machine tool usage condition data; Analysis module: This module uses an active temperature control strategy to adjust the position and power of the temperature control source to reduce the thermal error of machine tool processing. Specifically, it includes: Evaluation unit, establishing evaluation indicators for machine tool processing error levels; Solving unit, solving the thermal deformation degree of different temperature control source positions and power combinations, and finding the optimal combination value; Application module: In engineering, the optimal temperature control source power and position parameters are applied to achieve the best effect of reducing machine tool processing errors; The construction process of the No. 1 model construction unit is as follows: based on the actual structure of the machine tool, small structures are simplified and deleted during the modeling process to establish a simplified structural model of the machine tool. Then, using the heat generation and heat transfer mechanism of the internal heat source of the machine tool under different working conditions, a heat generation and heat dissipation model of the machine tool is established; The construction process of the second model construction unit is as follows: according to the transmission mechanism of machine tool processing errors, the machine tool thermal deformation that affects the relative position of the tool and the workpiece is analyzed to establish a machine tool processing error evaluation model; The working process of identifying the undetermined parameter unit is as follows: determining the corresponding thermal boundary conditions in the heat dissipation model of the machine tool according to the actual heat generation and dissipation of the internal heat source under different working conditions; and determining the error transfer process and final concentration point in the machine tool processing error evaluation model according to the actual assembly relationship of the machine tool structural parts.

7. The system for optimizing power and position parameters of a machine tool active temperature control source according to claim 6, characterized in that: The evaluation unit works as follows: Based on the final concentration point in the machine tool processing error evaluation model and the simulation results under different machine tool working conditions, a mathematical method is used to establish an evaluation index for the machine tool processing error based on the difference between the processing error after temperature control and the processing error before temperature control. This is used to evaluate the quality of the temperature control effect. The solution process of the solution unit is as follows: using finite element simulation software to traverse the machine tool processing error under different combinations of temperature control source power and position, revealing the change trend, and finding the power and position values that make the machine tool processing error degree evaluation index optimal; The application process of the application module is: to apply the optimal temperature control source power and position parameters for this machine tool in engineering, which comprehensively considers the comprehensive optimal effect of system energy consumption and processing error.

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