Chinese Journal of Lasers, Volume. 40, Issue 6, 603004(2013)

Quality Prediction of Laser Milling Based on Optimized Back Propagation Networks by Genetic Algorithms

Xu Zhaomei1,2、*, Zhou Jianzhong1, Huang Shu1, Meng Xiankai1, Han Yuhang1, and Tian Qing1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    References(16)

    [1] [1] S. L. Campanelli, A. D. Ludovico, C. Bonserion. Experimental analysis of the laser milling process parameters[J]. J. Materials Processing Technology, 2007, 191(1-3): 220~223

    [3] [3] Zhu Yinbo, Zhou Jianzhong, Huang Shu et al.. The application of 3D laser milling for ceramic materials [J]. Laser Journal, 2009, 30(6): 59~61

    [4] [4] C. H. Tsai, H. W. Chen. Laser milling of cavity in ceramic substrate by fracturemachining element technique [J]. J. Mater. Processing Technology, 2003, 136(1-3): 158~165

    [5] [5] N. Dahotre, S. Harimkar. Laser Fabrication and Machining of Materials [M]. USA: Springer, 2008. 34~37

    [6] [6] Huang Shu, Zhou Jianzhong, Sheng Jie et al.. Numerical simulation and experiment on laser milling of Al2O3 ceramic[J]. Transactions of the Chinese Society for Agricultural Machinery, 2011, 42(7): 259~265

    [7] [7] I. E. Saklakoglu, S. Kasman. Investigation of micro-milling process parameters for surface roughness and milling depth [J]. Int. J. Adv. Manuf. Technol., 2011, 54(5-8): 567~578

    [8] [8] Wang Xuyue, Xu Wenji, Lei Mingkai et al.. An experimental study of laser milling based on deteriorative layer on Al2O3 ceramic [J]. J. Dalian University of Technolgy, 2009, 49(2): 211~215

    [9] [9] J. P. Davim, C. Oliveira, N. Barricas et al.. Some experimental studies on CO2 laser cutting quality of polymeric materials [J]. J. Mater Process Technol., 2007, 198(1-3): 99~104

    [10] [10] Zhang Jixian, Mi Xia. BP Neural Networks and Its Use in the Engineering[M]. Beijing: China Machine Press, 1996. 68~71

    [11] [11] Yang Donghui, Ma Liang, Huang Weidong. Component′s surface quality predictions by laser rapid forming based on artificial neural networks[J]. Chinese J. Lasers, 2011, 38(8): 0803004

    [12] [12] S. L. Campanelli, G. Casalino, A. D. Ludovico et al.. An artificial neural network approach for the control of the laser milling process [J]. Int. J. Adv. Manuf. Technol., 2012, Doi 10.1007/s00170-012-4457-9

    [13] [13] C. K. Desai, A. Shaikh. Prediction of depth of cut for single-pass laser micro-milling process using semi-analytical, ANN and GP approaches [J]. Int. J. Adv. Manuf. Technol., 2012, 60(9-12): 865~882

    [14] [14] Xia Kewen, Li Changbiao, Shen Junyi. An optimization algorithm on the number of hidden layer modes in feed-forward neural network [J]. Computer Science, 2005, 32(10): 143~145

    [15] [15] Xu Dapeng, Zhou Jianzhong, Guo Huafeng. Application for laser cladding forming using evolutionary neural networks[J]. Applied Laser, 2006, 26(5): 303~306

    [16] [16] Yan Pingfan, Zhang Changshui. Atrificial Neural Networks and Evolutionary Computing [M]. Beijing: Tsinghua University Press, 2005. 161~166

    CLP Journals

    [1] Li Huanhuan, Lu Wei, Du Changwen, Ma Fei, Luo Hui. Study on Rapid and Non-Destructive Detection of Rice Seed Vigor Based on Photoacoustic Spectroscopy Combined with LS-SVR[J]. Chinese Journal of Lasers, 2015, 42(11): 1115003

    [2] Wang Shutao, Wang Xinglong, Chen Dongying, Wei Meng, Wang Zhifang. Application of GA-BP Neural Network in Detection of Trace Phosphate[J]. Chinese Journal of Lasers, 2015, 42(5): 515001

    [3] Wang Shutao, Chen Dongying, Wei Meng, Wang Xinglong, Wang Zhifang, Wang Jialiang. Application of Fluorescence Spectroscopy and PSO-BP Neural Network in the Detection of Potassium Sorbate Concentration[J]. Chinese Journal of Lasers, 2015, 42(5): 515004

    [4] Wang Shutao, Chen Dongying, Wang Xinglong, Han Huanhuan, Wang Jialiang. Detection of Polycyclic Aromatic Hydrocarbons Combining Fluorescence Analysis with ABC-BP Neural Network[J]. Chinese Journal of Lasers, 2015, 42(11): 1115001

    [5] Ding Hua, Li Yanwei, Yuan Dongqing. Roughness Prediction of Laser Drilling Pore Surface Based on Back-Propagation Artificial Neural Networks[J]. Laser & Optoelectronics Progress, 2017, 54(1): 11407

    Tools

    Get Citation

    Copy Citation Text

    Xu Zhaomei, Zhou Jianzhong, Huang Shu, Meng Xiankai, Han Yuhang, Tian Qing. Quality Prediction of Laser Milling Based on Optimized Back Propagation Networks by Genetic Algorithms[J]. Chinese Journal of Lasers, 2013, 40(6): 603004

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: laser manufacturing

    Received: Jan. 20, 2013

    Accepted: --

    Published Online: May. 30, 2013

    The Author Email: Zhaomei Xu (fuyun588@163.com)

    DOI:10.3788/cjl201340.0603004

    Topics