• Chinese Journal of Lasers
  • Vol. 46, Issue 2, 0207001 (2019)
Jun Huang1、2、*, Zibo Chen1, Qimeng Liu1, Cong Li1, and Kehong Wang1、2
Author Affiliations
  • 1 School of Material Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China
  • 2 Key Laboratory for Controlled Arc Intelligent Material Additive Technology, Ministry of Industry Informatization, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China
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    DOI: 10.3788/CJL201946.0207001 Cite this Article Set citation alerts
    Jun Huang, Zibo Chen, Qimeng Liu, Cong Li, Kehong Wang. Multi-Objective Optimization for Laser Closure Process Parameters in vitro Skin Tissue Based on NSGA-Ⅱ[J]. Chinese Journal of Lasers, 2019, 46(2): 0207001 Copy Citation Text show less

    Abstract

    By selecting laser power, laser pulse frequency and scanning speed as optimization variables, we establish a multi-objective optimization model of laser closure process parameters in vitro skin tissue. Based on MATLAB software, we use second generation non-dominant sequencing genetic algorithm (NSGA-II) to find the Pareto optimal solution set, obtain the optimal process parameters, and then analyze the response sensitivity of optimization objectives to the variation of process parameters. Under the optimized process parameters, the tensile strength of the incision is tested and the microstructure is analyzed. The results show that the incision tensile strength has high sensitivity to the laser process parameters, and the laser power has significant effect on the incision tensile strength and the tissue peak temperature. The proposed optimized process can achieve the in vitro skin tissue closure in full-thickness. In the case of tissue peak temperature decreasing, the tensile strength of in vitro skin tissue incision is 5.6% higher than that of single-objective optimization.
    Jun Huang, Zibo Chen, Qimeng Liu, Cong Li, Kehong Wang. Multi-Objective Optimization for Laser Closure Process Parameters in vitro Skin Tissue Based on NSGA-Ⅱ[J]. Chinese Journal of Lasers, 2019, 46(2): 0207001
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