GET THE APP

..

Global Journal of Technology and Optimization

ISSN: 2229-8711

Open Access

Optimization Design of the Structure for Miniature Engraving Machine based on Orthogonal Experiment and Grey Correlation Analysis

Abstract

Gaoyan Zhong, Jiangyan Xu, Tian Jinling, and Zhang Lifei

This paper presents an optimization design method of structure for miniature engraving machine to improve the comprehensive performance of static and dynamic. Firstly, the finite element model of miniature engraving machine is established in the ANSYS software. Secondly, based on this finite element model, static and dynamic analysis is implemented. Thirdly, multi-objectives optimization based on orthogonal experiments is processed by taking the mass of the structure, the maximum deformation, the maximum stress and the first-order natural frequency as the objective functions and choosing three major sizes which have the most remarkable influences on the above mentioned objectives as the design variables. Finally, the optimal solution of optimization design is searched by adopting the grey relational analysis which makes the mass reducing 3.422%, the maximum deformation reducing 14.658%, the maximum stress reducing 10.621% and the first-order natural frequency increasing 7.014% simultaneously. Research indicates that orthogonal experiment method and the grey correlation analysis method has higher practicability.

PDF

Share this article

Google Scholar citation report
Citations: 664

Global Journal of Technology and Optimization received 664 citations as per Google Scholar report

Global Journal of Technology and Optimization peer review process verified at publons

Indexed In

 
arrow_upward arrow_upward