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Approximate Multi-Objective Optimization of Robot Casting Considering Deflection and Weight

처짐과 무게를 고려한 주물 프레임의 다중목적 근사최적설계

  • 최하영 (연세대학교 기계공학과 대학원) ;
  • 이종수 (연세대학교 기계공학과) ;
  • 박준오 (연세대학교 기계공학과 대학원)
  • Received : 2012.10.09
  • Accepted : 2012.11.14
  • Published : 2012.12.15

Abstract

Nowadays, rapidly changing and unstable global economic environments request a lot of roles to engineers. In this situation, product should be designed to make more profit by cost down and to satisfy distinguished performance comparing to other competitive ones. In this research, the optimization design of the industrial robot casting will be done. The weight and deflection have to be reduced as objective functions and stress has to be constrained under some constant value. To reduce time cost, CCD (Central Composite Design) will be used to make experimental design. And RSM (Response Surface Methodology) will be taken to make regression model for objective functions and constraint function. Finally, optimization will be done with Genetic Algorithm. In this problem, the objective functions are multiple, so NSGA-II which is brilliant and efficient for such a problem will be used. For the solution quality check, the diversity between Pareto solutions will be also checked.

Keywords

References

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