Method and system for determining segmented modeling points for temperature-sensitive intervals

Abstract

The invention discloses a method and a system for determining a segmented modeling point of a temperature sensitive interval. The method comprises the steps of: obtaining temperature value increment measured values and thermal deformation measured values of M batches of machine tools sorted from low to high according to the ambient temperature within a whole year; correspondingly establishing a thermal error prediction model for each batch of machine tools according to the data selected from each batch; establishing an M * M thermal deformation prediction matrix and a predicted residual standard deviation matrix; drawing a predicted residual standard deviation change tendency chart according to the predicted residual standard deviation matrix; finding the temperature sensitive interval inthe predicted residual standard deviation change tendency chart, wherein the temperature sensitive interval refers to a corresponding ambient temperature interval in the case of hop of the predicted residual standard deviation; and selecting a segment point of the temperature sensitive interval within the temperature sensitive interval. The system disclosed by the invention comprises a data collection system and a computer configured with a temperature sensitive interval segmented modeling point calculation program. By adopting the method and the system disclosed by the invention, the segmented modeling point of the temperature sensitive interval can be effectively determined, and the intuitiveness and universality are good.

Description

technical field [0001] The invention relates to the technical field of machine tool thermal error prediction model modeling, in particular to a method and system for determining segmental modeling points in temperature sensitive intervals. 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 therm...

AI Technical Summary

Problems solved by technology

[0007] The latest experimental research found that the thermal error compensation model of machine tools has a jump range of prediction accuracy affected by the ambient temperature, which will lead to fluctuations in the prediction performance of the model and greatly reduce the prediction accuracy and robustness of the model

Therefore, how to determine the ambient temperature range that can cause fluctuations in prediction performance, that is, the temperature sensitive range, is the key to accurately establishing a thermal error prediction model, but there is no good method yet

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