Optimization Method of Product Green Design Scheme Based on Attribute Mapping

doi:10.3901/JME.2019.17.153

Abstract

Abstract: Due to the influences of multi-factors coupling on the green design of products, it is not easy to optimize the green design scheme. An optimization method of product green design scheme based on attribute mapping is proposed. By decomposing the function and structure of product, the product module instance library is established. The sample space is arranged by orthogonal experimental design. Using the support vector regression(SVR)theory to fit the mapping relationship between optimization variables and optimization objectives and establish the mapping relationship between the green attributes of products' design scheme and module function instance; Taking the optimal green attributes of products' design scheme as the goal and combining the non-dominated sorting genetic algorithm II (NSGA-II) to carry out the multi-objective optimization of discrete variables so that the Pareto solution set can be quickly and accurately found from many possible solutions and the optimized green product design schemes are obtained. Finally, the feasibility and effectiveness of the proposed method are verified by taking the green design scheme generation of a ink jet printer as the case.

Key words: attribute mapping, green design, scheme optimization, NSGA-II, support vector regression

CLC Number:

TH122

ZHANG Lei, YANG Kai, ZHANG Cheng, QIN Xu, ZHAO Xikun. Optimization Method of Product Green Design Scheme Based on Attribute Mapping[J]. Journal of Mechanical Engineering, 2019, 55(17): 153-161.

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