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Method and system for selection of thermal error temperature sensitive point based on comprehensive temperature information

A technology that integrates information and thermal errors. It is used in manufacturing computing systems, geometric CAD, design optimization/simulation, etc. It can solve problems such as unreasonable, high collinearity, and different numbers of temperature-sensitive points, so as to achieve a simple calculation process and avoid errors. the effect of judgment

Active Publication Date: 2022-07-08
CHONGQING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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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  • Method and system for selection of thermal error temperature sensitive point based on comprehensive temperature information
  • Method and system for selection of thermal error temperature sensitive point based on comprehensive temperature information
  • Method and system for selection of thermal error temperature sensitive point based on comprehensive temperature information

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Embodiment 1

[0067] like figure 1 As shown, the method for selecting a temperature sensitive point for thermal error of a CNC machine tool spindle based on comprehensive temperature information provided by this embodiment includes the following steps:

[0068] 1) Data collection: During the operation of the machine tool, temperature data and thermal error data are collected synchronously. The thermal error data is obtained according to the five-point method in ISO230-3, and the five thermal errors are the thermal drift error δ in the X direction. x , X-direction thermal deflection error ε x , Y-direction thermal drift error δ y , Y-direction thermal deflection error ε y , Z-direction thermal elongation error δ z . 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) Constructing a comprehensive temperature information matrix: U...

Embodiment 2

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

[0080] like figure 2 shown, figure 2 It is a schematic diagram of measuring thermal error by five-point method, in which D1-D5 are displacement sensors used to measure thermal error, and X-, Y-, and Z+ are machine tool coordinate systems.

[0081] like image 3 shown, image 3 Generate a schematic for the five-term the...

Embodiment 3

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

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

[0132] 2) Build a comprehensive temperature information matrix: use the 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 by voting ;

[0134] 4) Fuzzy clustering: use the temperat...

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Abstract

The invention discloses a thermal error temperature sensitive point selection method and system based on comprehensive temperature information. During the operation of a machine tool, temperature data and thermal error data are collected synchronously; temperature data and thermal error data are used to construct a temperature comprehensive information matrix; Use multiple clustering effectiveness indicators to determine the optimal number of clusters; use the temperature comprehensive information matrix and the optimal number of clusters to perform fuzzy clustering to group temperature measurement points; calculate the correlation coefficient between temperature and thermal error, and select each The temperature measurement point with the highest correlation in the group is used as the candidate temperature measurement point; among the candidate temperature measurement points, the temperature measurement points with the correlation coefficient between ‑0.4 and 0.4 are removed, and the remaining candidate temperature measurement points are temperature sensitive points. The invention avoids the problem that the number of temperature sensitive points is the same under different thermal errors, and the phenomenon that the temperature measuring points with similar shape of temperature curve but large difference in temperature value are divided into two groups is reduced, and the number of selected temperature sensitive points is less , the model has good performance when used for modeling.

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 a thermal error temperature sensitive point based on comprehensive temperature information. Background technique [0002] With the rapid development of precision machining, the accuracy index occupies an increasingly important position in evaluating the performance of machine tools. According to statistics, thermal error accounts for 70% of the total error of the machine tool. The error compensation method is an effective method to eliminate thermal errors due to its low cost and remarkable effect. The error compensation method is to establish a thermal error model, predict the thermal error, and set a bias opposite to the thermal error to offset the error. The selection of temperature sensitive points is the key to thermal error modeling. The selection of temperature sensitive points aims to redu...

Claims

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Application Information

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Patent Type & Authority Patents(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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