Part machining pose optimization method and system

Abstract

The invention discloses a part machining pose optimization method. The method comprises the steps that an objective function taking machining errors of an objective part in a numerically-controlled machine tool as an optimization objective is constructed; a machining position error formula and a machining pose error formula of the objective part are established; the machining position error formula and the machining pose error formula are integrated to obtain an initial part machining error constraint function; the initial part machining error constraint function is converted into a global aggregate function through an aggregate function method; constraint conditions used for constraining the objective function are constructed through the aggregate function; optimization processing is conducted on the objective function through a genetic algorithm under constraint of the constraint conditions; the machining pose state of the current objective part is correspondingly optimized and adjusted according to part machining pose optimization information. According to the part machining pose optimization method, the part machining pose optimization speed is increased. The invention further correspondingly discloses a part machining pose optimization system.

Description

technical field [0001] The invention relates to the technical field of numerical control machine tools, in particular to a method and system for optimizing the pose and posture of part processing. Background technique [0002] At present, CNC machine tools play a very important role in the manufacturing industry. They can better solve complex, precise, small-batch, and multi-variety parts processing problems, and are an important foundation for the national economy. [0003] Parts processing accuracy is a key indicator to measure the performance of CNC machine tools. At present, mathematical optimization algorithms can be used to optimize the machining pose of parts on CNC machine tools, thereby improving the machining accuracy of parts on CNC machine tools. However, there are many optimization constraints involved in the existing mathematical optimization algorithms, which lead to a low optimization speed of the part processing pose, which is not conducive to the improveme...

AI Technical Summary

Problems solved by technology

However, there are many optimization constraints involved in the existing mathematical optimization algorithm, which leads to a low optimization speed of the part processing pose, which is not conducive to the improvement of part processing accuracy.

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