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Thermal error temperature sensitive point selection method and system based on temperature comprehensive information

A technology that integrates information and thermal errors, applied in manufacturing computing systems, geometric CAD, design optimization/simulation, etc., can solve problems such as unreasonable, different number of temperature sensitive points, high collinearity, etc., to achieve optimal model performance and avoid errors Judgment and calculation process is simple

Active Publication Date: 2021-02-02
CHONGQING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This leads to the following problem: Among the temperature measuring points, the temperature measuring points with similar temperature curves but with large differences in temperature values ​​are divided into two groups, but these measuring points still have high collinearity, so it is not correct to be divided into two groups Reasonable; the main shaft has five thermal errors, the causes of the five thermal errors are different, and the number of temperature sensitive points should be different, but the number of temperature sensitive points of the five errors obtained by using the existing method is the same

Method used

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  • Thermal error temperature sensitive point selection method and system based on temperature comprehensive information
  • Thermal error temperature sensitive point selection method and system based on temperature comprehensive information
  • Thermal error temperature sensitive point selection method and system based on temperature comprehensive information

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Embodiment 1

[0067]Such asfigure 1 As shown, the method for selecting temperature sensitive points of a numerical control machine tool spindle thermal error based on comprehensive temperature information provided in this embodiment includes the following steps:

[0068]1) Data collection: While the machine tool is running, temperature data and thermal error data are collected simultaneously. The thermal error data is obtained by referring to the five-point method in ISO230-3. The five thermal errors are the thermal drift error δ in the X direction.x, The thermal deflection error in the X direction εx, Y-direction thermal drift error δy, Y direction thermal deflection error εy, Thermal elongation error in Z direction δz. The temperature data is collected by using temperature sensors distributed in various parts of the CNC machine tool. The spindle speed refers to the variable speed map or constant speed in ISO230-3.

[0069]2) Build a comprehensive temperature information matrix: use temperature data a...

Embodiment 2

[0079]The method for selecting temperature sensitive points of numerical control machine tool spindle thermal error based on comprehensive temperature information provided by this embodiment avoids the problem of the same number of temperature sensitive points under different thermal errors, and temperature measurement points with similar temperature curves but with large temperature values. The phenomenon of being divided into two groups is reduced, and the number of selected temperature sensitive points is smaller. When used for modeling, the model has good performance. The method provided in this embodiment includes the following steps:

[0080]Such asfigure 2 As shown,figure 2 It is a schematic diagram of the five-point method for measuring thermal error, where D1-D5 are displacement sensors used to measure thermal error, and X-, Y-, and Z+ are machine tool coordinate systems.

[0081]Such asimage 3 As shown,image 3 Generate a schematic diagram for the five thermal errors, where the l...

Embodiment 3

[0130]The thermal error temperature sensitive point selection system based on temperature comprehensive information provided in this embodiment includes a memory, a processor, and a computer program stored in the memory and running on the processor. The processor executes the program as follows: step:

[0131]1) Data collection: Collect temperature data and thermal error data of the object to be measured;

[0132]2) Build a comprehensive temperature information matrix: use temperature data and thermal error data to build a comprehensive temperature information matrix;

[0133]3) Determine the optimal number of clusters: Substitute the temperature comprehensive information matrix under different errors into multiple effective clustering indicators to obtain the optimal number of clusters under different effective clustering indicators, and finally determine the optimal number of clusters through voting ;

[0134]4) Fuzzy clustering: Use the temperature comprehensive information matrix and the op...

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Abstract

The invention discloses a thermal error temperature sensitive point selection method and system based on temperature comprehensive information, and the method comprises the steps: synchronously collecting temperature data and thermal error data in an operation process of a machine tool, utilizing the temperature data and the thermal error data to construct a temperature comprehensive information matrix, determining an optimal clustering number by utilizing the plurality of clustering effectiveness indexes, carrying out fuzzy clustering by using the temperature comprehensive information matrixand the optimal clustering number, grouping temperature measuring points, calculating a correlation coefficient of the temperature and the thermal error, selecting the temperature measuring point withthe maximum correlation in each group as a to-be-selected temperature measuring point, in the to-be-selected temperature measuring points, and removing the temperature measuring points with the correlation coefficients ranging from -0.4 to 0.4, wherein the remaining to-be-selected temperature measuring points are temperature sensitive points. According to the method, the problem of the same number of temperature sensitive points under different thermal errors is avoided, the phenomenon that the temperature measuring points with similar temperature curve shapes and large temperature value differences are divided into two groups is reduced, the number of the selected temperature sensitive points is smaller, and when the method is used for modeling, the model has good performance.

Description

Technical field[0001]The invention belongs to the technical field of precision control of numerically controlled machine tools, and relates to a method and system for selecting temperature sensitive points of thermal errors based on temperature comprehensive information.Background technique[0002]With the rapid development of precision machining, accuracy indicators play an increasingly important role in evaluating machine tool performance. According to statistics, the thermal error accounts for 70% of the total error of the machine tool. Because of its low cost and remarkable effect, the error compensation method is an effective method to eliminate thermal errors. The error compensation method is to predict the thermal error by establishing a thermal error model, and set an offset opposite to the thermal error to offset the error. The selection of temperature sensitive points is the key to thermal error modeling. The purpose of temperature sensitive point selection is to reduce the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/17G06F30/27G06F119/08
CPCG06F30/17G06F30/27G06F2119/08Y02P90/30
Inventor 李国龙李喆裕徐凯唐晓东王志远陈孝勇
Owner CHONGQING UNIV
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