Chinese Journal of Lasers, Volume. 39, Issue 6, 603003(2012)

Multi-Objective Optimization of Laser Transmission Welding of Polycarbonate Process Based on Genetic Algorithm-Response Suface Methodology

Wang Xiao*, Zhang Cheng, Wang Kai, Li Pin, Gao Yangyang, Hu Yang, and Liu Huixia
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    A central composite rotatable experimental design is used to plan the experiment of laser transmission welding of polymers. Response surface methodology (RSM) is employed to establish the mathematical models of relations between the welding process parameters and the weld strength as well as weld seam width, and then the desirability function coupled with genetic algorithm is used to carry out the multi-objective optimization of the weld strength, weld width and weld cost. It demonstrates that the predicted results of the optimization are in good agreement with the experimental results, so this study provides an effective direction to enhance the weld quality and minimize the weld cost.

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    Wang Xiao, Zhang Cheng, Wang Kai, Li Pin, Gao Yangyang, Hu Yang, Liu Huixia. Multi-Objective Optimization of Laser Transmission Welding of Polycarbonate Process Based on Genetic Algorithm-Response Suface Methodology[J]. Chinese Journal of Lasers, 2012, 39(6): 603003

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    Paper Information

    Category: laser manufacturing

    Received: Jan. 6, 2012

    Accepted: --

    Published Online: May. 4, 2012

    The Author Email: Xiao Wang (wx@ujs.edu.cn)

    DOI:10.3788/cjl201239.0603003

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