Int. J. of Industrial and Systems Engineering   »   2015 Vol.20, No.2

 

 

Title: The multi-objective optimisation design for a light guide rod

 

Authors: Yu-Sen Yang; Chun-Yao Shih; Hong-Yao Chien; Rong-Fong Fung

 

Addresses:
Department of Mechanical & Automation Engineering, National Kaohsiung First University of Science and Technology, 1 University Road, Yenchau, Kaohsiung County 824, Taiwan
Graduate Institute of Electro-optical Engineering, National Kaohsiung First University of Science and Technology, 1 University Road, Yenchau, Kaohsiung County 824, Taiwan
Industrial Master Program on Advanced Headlamp Industry , National Kaohsiung First University of Science and Technology, 1 University Road, Yenchau, Kaohsiung County 824, Taiwan
Department of Mechanical & Automation Engineering, National Kaohsiung First University of Science and Technology, 1 University Road, Yenchau, Kaohsiung County 824, Taiwan

 

Abstract: The light guide rod (LGR) has been popularly used for the vehicles, and the automobile lamp industries need mass production to match this trend. This paper aims to develop a systemic way to find the best parameters' combination for the LGR, and the parameters are usually restricted (existing October 11, 2012) to some levels and random values. In this paper, the LGR example with two optical performances of illuminance flux and uniformity is to be optimised by use of the real-coded genetic algorithm (RGA) and grey relational analysis (GRA). The illuminance flux and uniformity of the best parameters' combination are obtained and compared with the initial set. Comparisons with Taguchi-Grey can improve 5% of gain and comparisons with Pareto genetic algorithm (PaGA) can improve 1.7% of gain. The combined multi-objective optimisation can save 7% time and it is found that the new proposed method has positive gains in performances.

 

Keywords: grey relational analysis; GRA; light guide rods; LGR design; multi-objective optimisation; real-coded genetic algorithms; RGA; automotive lamps; automotive lighting; automobile industry.

 

DOI: 10.1504/IJISE.2015.069547

 

Int. J. of Industrial and Systems Engineering, 2015 Vol.20, No.2, pp.165 - 179

 

Available online: 22 May 2015

 

 

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