Machine tool thermal error prediction method and system based on temperature sensitive interval segmentation

Abstract

The invention discloses a machine tool thermal error prediction method and system based on temperature sensitive interval segmentation. The machine tool thermal error prediction method comprises the steps: obtaining a temperature sensitive interval which is an environment temperature interval capable of causing the fluctuation of the prediction performance of a machine tool thermal error, and obtaining the temperature sensitive interval through the prediction of a residual standard deviation change trend graph; selecting temperature sensitive interval segmentation points in the temperature sensitive interval; respectively establishing corresponding machine tool thermal error prediction models on the two sides of the temperature sensitive interval segmentation points by adopting a segmentation modeling method, so as to obtain machine tool thermal error compensation segmentation prediction models; and predicting the thermal deformation of the machine tool by adopting the machine tool thermal error compensation segmented prediction model. The machine tool thermal error prediction system comprises a data acquisition system and a computer, wherein a modeling program and a prediction program are configured in the computer. According to the machine tool thermal error prediction method and system, the problem that the prediction performance of the machine tool thermal error compensation prediction model of the strong coupling temperature field fluctuates due to the influence of the environment temperature is solved, and the prediction precision and the prediction robustness of themodel are greatly improved.

Description

technical field [0001] The invention relates to the technical field of precision machining machine tools, in particular to a method and system for predicting thermal errors of machine tools. Background technique [0002] With the rapid development of precision and ultra-precision machining technology, higher requirements are put forward for the machining accuracy and reliability of CNC machine tools and machining centers. During the actual processing and operation of CNC machine tools, due to the influence of factors such as friction heat, cutting heat and ambient temperature on the process system, the expansion of machine tool parts will cause thermal deformation. This thermal deformation will change the relative position between the various parts of the machine tool, causing the tool to deviate from the ideal cutting point, resulting in a reduction in the machining accuracy of the machine tool, and this error caused by thermal deformation is called thermal error. Thermal ...

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Problems solved by technology

[0008] Aiming at the deficiencies of the above-mentioned prior art, the present invention provides a thermal error prediction method for machine tools based on temperature-sensitive interval segmentation, which solves the prediction performance of the thermal error compensation prediction model of machine tools with strong coupling temperature field due to the influence of ambient temperature Fluctuation problems, greatly improving the prediction accuracy and robustness of the model

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