Laser & Optoelectronics Progress, Volume. 55, Issue 11, 111404(2018)

Quality Optimization of Laser-Cutted Ni-Based Alloys Based on Genetic Algorithm

Yiying Zhang1、**, Yan Cao1、***, Yuxiang Chen2、*, and Xiangwei Mu1
Author Affiliations
  • 1 School of Maritime Economics and Management, Dalian Maritime University, Dalian, Liaoning 116026, China
  • 2 College of Applied Technology, University of Science and Technology Liaoning, Anshan, Liaoning 114051, China
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    References(19)

    [11] Tong G, Xu H, Yu H Q[J]. Control model of laser cutting quality based on simulated annealing and BP neural network Machinery Design & Manufacture, 2012, 85-87.

    [14] Cao F G[M]. Laser beam machining, 67(2015).

    [15] Han L Q, Shi Y[M]. Artificial neural network theory and application, 51-52(2016).

    [16] Wang X C, Shi F, Yu L et al[M]. Matlab neural networks 43 cases analysis, 36-38(2013).

    CLP Journals

    [1] Chen Siyu, Chen Yuxiang, Jiao Shangfeng, Zhong Liang, Gao Liang. Process Study of Laser Cutting Ni-based Alloy[J]. APPLIED LASER, 2022, 42(5): 66

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    Yiying Zhang, Yan Cao, Yuxiang Chen, Xiangwei Mu. Quality Optimization of Laser-Cutted Ni-Based Alloys Based on Genetic Algorithm[J]. Laser & Optoelectronics Progress, 2018, 55(11): 111404

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    Paper Information

    Category: Lasers and Laser Optics

    Received: May. 9, 2018

    Accepted: Jun. 4, 2018

    Published Online: Aug. 14, 2019

    The Author Email: Yiying Zhang (zhangyiying@dlmu.edu.cn), Yan Cao (caoyan@dlmu.edu.cn), Yuxiang Chen (491208485@qq.com)

    DOI:10.3788/LOP55.111404

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