• Laser & Optoelectronics Progress
  • Vol. 54, Issue 1, 11403 (2017)
Shu Fuhua*
Author Affiliations
  • [in Chinese]
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    DOI: 10.3788/lop54.011403 Cite this Article Set citation alerts
    Shu Fuhua. Application of Vague Set in Process Optimization of Laser Quenching of Cr12MoV Steels[J]. Laser & Optoelectronics Progress, 2017, 54(1): 11403 Copy Citation Text show less
    References

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    [3] Zhang Yalong, Xu Xincheng, Yang Xiangdong, et al. Effects of laser surface hardening on microstructure and properties of H13 steel[J]. Hot Working Technology, 2014, 43(8): 53-55.

    [4] Su Hui, Ma Bing, Yi Yinghui, et al. Research on microstructure and hardness of 42CrMo steel by laser quenching[J]. Weapon Materials Science and Engineering, 2011, 34(2): 84-86.

    [5] Hou Qi, Liu Guangxin, Yang Guang, et al. Study on microstructure and wear properties of MoCr cast iron by laser quenching[J]. Application of Laser, 2015, 35(6): 657-660.

    [6] Wu Gang, Song Guangming, Huang Wanjuan. Study on the influence of laser quenching process parameters on the depth and hardness of the layer[J]. Laser Technology, 2007, 31(2): 63-66.

    [7] Lin Jixing, Cao Honggang, Niu Liyuan, et al. Optimization of semiconductor laser quenching process for H13 die steel based on orthogonal experiment[J]. Application Laser, 2015, 35(3): 314-318.

    [8] Wang Wenchang, Xie Chunyang, Kong Dejun. The laser quenching effect of friction and wear properties of boronizied layer of Cr12MoV steel[J]. Journal of Changzhou University (Natural Science Edition), 2015, 27(4): 47-52.

    [9] Li Weisheng, Liu Dong. Evaluation of urban environmental air quality based on contact number Vague set method[J]. China Science and Technology Information, 2015, 17(6): 53-55.

    [10] Wang Hongxu. The definition and transformation formula of single valued data into Vague data[J]. Computer Engineering and Application, 2009, 45(18): 42-44.

    Shu Fuhua. Application of Vague Set in Process Optimization of Laser Quenching of Cr12MoV Steels[J]. Laser & Optoelectronics Progress, 2017, 54(1): 11403
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