Multi-objectives Optimization Design of A-type Frame in an Electric Mining Dump Truck Considering Multi-Source Uncertainties Based on the Interval Method

Authors

  • Chengji MI Hunan Unversity of Technology
  • Zhonglin HUANG Hunan University of Technology
  • Wentai LI Hunan University of Technology
  • Di KANG Hunan Academy of Forestry Sciences
  • Dong ZHANG Hunan University of Technology
  • Qishui YAO Hunan University of Technology
  • Mingzu MING Hunan University of Technology
  • Zhengshun NI Hunan University of Technology

DOI:

https://doi.org/10.5755/j02.mech.24939

Keywords:

multi-objectives optimization; interval method; response surface method;genetic algorithm; multi-source uncertainties

Abstract

In order to improve fuzzy fatigue reliability and make weight reduction of A-type frame in an electric mining dump truck considering multi-source uncertainties from design, manufacturing and use stage, a multi-objectives optimization method based on the interval theory was proposed in this paper. The thickness of four steel plates in welded A-type frame was regarded as certain design variables, while the elastic modulus and density of material was considered as uncertain variables as well as the load at front traction joint. The relationship between optimization objectives and variables was constructed by the response surface method, and was transformed by the interval method. Then, the optimization problem was solved by the non-dominated sorting genetic algorithm, which was found that the fuzzy fatigue reliability reached up to 98.45 % at the expense of some weight.

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Published

2021-04-15

Issue

Section

DESIGN AND OPTIMIZATION OF MECHANICAL SYSTEMS