Precision machine tool mass matching design method based on response surface and genetic algorithm

Abstract

The invention discloses a precision machine tool mass matching design method based on a response surface and a genetic algorithm. The method includes the steps that all parameters of a machine tool structure to be analyzed are extracted to set up a kinetic model of the machine tool structure; the structure of a complete machine tool is analyzed in a kinetic mode according to the kinetic model of the machine tool structure; taking the highest first-order inherent frequency of the complete machine tool and the highest dynamic stiffness in the X, Y and Z directions as the design objective, mass matching design is performed on big parts of all supporting structures; the dynamic properties, before and after mass matching optimization, of the structure of the whole complete machine tool are compared and analyzed through a finite element method, and effectiveness mass matching design is verified. Compared with the prior art, the precision machine tool mass matching design method can efficiently and rapidly estimate the dynamic properties of the structure of the whole complete machine tool in the design stage of a machine tool scheme and can plan the optimum mass relation among the big parts of all the supporting structures with the optimum dynamic properties of the structure of the whole complete machine tool as the objective; the design method is suitable for mass matching design for the big parts of all the supporting structures of the precision machine tool and plays a good role in guiding the mass design for the big parts of the supporting structures of the machine tool.

Description

technical field [0001] The invention relates to a quality planning method for supporting large parts in the structural scheme design of a precision machine tool, in particular to a quality matching design method for a precision machine tool based on a response surface and a genetic algorithm. Background technique [0002] The dynamic performance of the machine tool has an important impact on the machining accuracy and efficiency of the machine tool. The traditional machine tool design supports the quality of large parts based on past experience. If the design is blind, it will not be conducive to ensuring the dynamic performance of the machine tool. [0003] At present, the quality design of precision machine tools supporting large parts is still limited to the single-piece optimization method. Its essence is that the designer repeatedly modifies the mass of a single large piece based on the design experience, arranges a limited number of parameters for numerical simulation...

AI Technical Summary

Problems solved by technology

This method is difficult to ensure that the selected parameters are optimal and it is difficult to optimize the combination of all supporting large parts. It takes a lot of time to select parameters and perform numerical simulation analysis calculations at the same time, which cannot meet the design and production requirements of modern machine tools.

Images