• Laser & Optoelectronics Progress
  • Vol. 52, Issue 1, 11403 (2015)
[in Chinese]1、2、*, [in Chinese]1, [in Chinese]1, [in Chinese]1, [in Chinese]1、2, [in Chinese]1, and [in Chinese]1
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    DOI: 10.3788/lop52.011403 Cite this Article Set citation alerts
    [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Multiple Regression Analysis of the Key Parameters of Laser Engineering Net Shaping on Residual Stress[J]. Laser & Optoelectronics Progress, 2015, 52(1): 11403 Copy Citation Text show less
    References

    [1] B Song, S J Dong, Q Liu, et al.. Vacuum heat treatment of iron parts produced by selective laser melting:Microstructure, residual stress and tensile behavior[J]. Materials & Design, 2014, 54: 727-733.

    [2] Wang Guilan, Sun Yifeng, Bai Xingwang, et al.. Influence of electromagnetic field on temperature field and residual stress in arc deposition rapid prototyping[J]. Welding Technoloy, 2013, 42(3): 6-9.

    [3] Lai Youbin, Liu Weijun, Kong Yuan, et al.. Influencing factors of residual stress of Ti-6.5Al-1Mo-1V-2Zr alloy by laser rapid forming process[J]. Rare Metal Materials and Engineering, 2013, 42(7): 1526-1530.

    [4] Liu Hao, Yu Gang, He Xiuli, et al.. Three-dimensional numerical simulation of transient temperature field and coating geometry in powder feeding laser cladding[J]. Chinese J Lasers, 2013, 40(12): 1203007.

    [5] Jia Wenpeng, Lin Xin, Chen Jing, et al.. Temperature/stress field numerical simulation of hollow blade produced by laser rapid forming[J]. Chinese J Lasers, 2007, 34(9): 1308-1312.

    [6] Jia Wenpeng, Chen Jing, Lin Xin, et al.. Numerical simulation of interaction between metal powder and melting pool during laser rapid forming[J]. Acta Metallurgica Sinica, 2007, 43(5): 546-552.

    [7] Kong Yuan, Liu Weijun, Wang Yuechao, et al.. Analysis of process parameters about direct laser metal deposition shaping process of titanium alloys based on Logistic regression model[J]. Chinese J Lasers, 2011, 38(11): 1103005.

    [8] Ni Libin, Liu Jichang, Wu Yaoting, et al.. Optimization of laser cladding process variable based on neural network and particle swarm optimization algorithms[J]. Chinese J Lasers, 2011, 38(2): 0203003.

    [9] H E Cheikh, B Courant, S Branchu, et al.. Analysis and prediction of single laser tracks geometrical characteristics in coaxial laser cladding process[J]. Optics and Lasers in Engineering, 2012, 50(3): 413-422.

    [10] Mao Haiying, Feng Zhongke, Gong Yinxi, et al.. Researches of soil normalized difference water index (NDWI) of yongding river based on multispectral remote sensing technology combined with genetic algorithm[J]. Spectroscopy and Spectral Analysis, 2014, 34(6): 1649-1655.

    [11] G Ferraioli, C Tinelli, R Lissandrin, et al.. Point shear wave elastography method for assessing liver stiffness[J]. World J Gastroenterol, 2014, 20(16): 4787-4796.

    [12] Wang Peng, Feng Xinli. The reasons of resident′ high saving rate in our nation: Empirical analysis on the basis of multiple regression methods[J]. Finance & Economics, 2012, (12): 24-31.

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    [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Multiple Regression Analysis of the Key Parameters of Laser Engineering Net Shaping on Residual Stress[J]. Laser & Optoelectronics Progress, 2015, 52(1): 11403
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