Multi-objective optimization design of the Hinge Sleeve of Cubic based on Kriging

Author:

Sun Xuan123ORCID,Liu Ting123,Jia Jiguang123ORCID,Chen Zhihui4,Shang Jing123

Affiliation:

1. School of Mechanic and Control Engineering, Guilin University of Technology Guilin, Guilin, China

2. Key Laboratory of Advanced Manufacturing and Automation Technology, Guilin University of Technology, Education Department of Guangxi Zhuang Autonomous Region, Guilin, China

3. Manufacturing and Automation Technology (Guilin University of Technology), Education Department of Guangxi Zhuang Autonomous Region, Guilin, China

4. Guangxi Special Equipment Inspection and Research Institute. Nanning, China

Abstract

In this study, the multi-objective optimal design of the Hinge Sleeve of Cubic (HSC) was achieved by combining the central composite design (CCD), Kriging and multi-objective genetic algorithm (MOGA) approaches. Firstly, the model of the HSC was established and the appropriate design variables were selected. The mass, the maximum deformation and the maximum equivalent stress of the HSC were taken as the optimization objectives. After comparative analysis of the parameters, the parameter with the greatest influence on the optimization objectives was selected as the geometric constraint. Subsequently, according to the results of the experimental design, the Kriging model was used to establish the response surface optimization model of the objective function. And finally the best optimization results were obtained by using MOGA. The experimental results show that the optimization strategy is reliable and the mass of the optimized model is reduced by 24.84%, which achieves the lightweight design of the HSC while meeting the actual production requirements, saves the design cost and improves the material utilization.

Funder

The second batch of industry-university collaborative education projects of the Ministry of Education of Guangxi Zhuang Autonomous Region

Research and Practice on the Reform of Independent Investigative Cooperative Learning Teaching Methodology for Automation Majors under the Proposed Simulation Experimental Platform

Education Department of Guangxi Zhuang Autonomous Region

Publisher

SAGE Publications

Subject

Multidisciplinary

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