Machine tool cross beam optimal design assessment method adopting combination weighing-grey correlation

Abstract

The invention discloses a machine tool cross beam optimal design assessment method adopting combination weighing-grey correlation. The machine tool cross beam optimal design assessment method comprises the following steps that three-dimensional modeling is conducted on original cross beams, and static and dynamic characteristics of the original cross beams are analyzed to determine optimized factors and assessment indexes of the cross beams; cross beams of multiple structural schemes are designed, and several optimal schemes are preliminarily screened by analyzing and comparing static parameters of the cross beams; for the preliminarily screened schemes, cross beam rib plate structures, rib plate thickness and guide rail supporting rib plate inclination angles on the cross beams serve as test factors, the levels of the factors are determined, and an orthogonal test table is selected to conduct a simulation test on parameter combinations; simulation data is analyzed and processed by adopting a grey correlation method and a combination weighing method to obtain an optimal scheme; properties of the cross beams before and after optimization are compared to determine the reasonability of the optimal design parameter combinations. The machine tool cross beam optimal design assessment method makes a final analysis result real and reliable and accord with objective reality.

Description

technical field [0001] The invention belongs to the field of mechanical design, and relates to a design method of a key structure of a machine tool, in particular to a method for evaluating the optimal design of a machine tool crossbeam using combination weighting-gray correlation. Background technique [0002] In recent years, CNC machine tools are developing towards high-speed, high-precision, and high-efficiency. Among them, the beam is an important part of the machine tool, and its performance has an important impact on the positioning accuracy, machining accuracy, and quality of processed products of the machine tool. Traditional beam design methods mostly use single variable approaching gradually, sensitivity analysis and topology optimization. The goals of optimization design are mainly focused on the external dimensions (length, width, height) of the beam, the structure of the ribs, and the thickness of the ribs. In these aspects, for example: Patent CN102819653A int...

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Problems solved by technology

The above beam optimization design method follows the principle of single variable, multiple experiments, and gradual approximation, and has a certain degree of subjective randomness; when multiple variables change, the parameter changes will increase or decrease according to subjective judgment, and

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