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YANG Tianyu, ZHANG Penglin, YIN Yan, LIU Wenzhao, ZHANG Ruihua. Microstructure based on selective laser melting and mechanical properties prediction through artificial neural net[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2019, 40(6): 100-106. DOI: 10.12073/j.hjxb.2019400162
Citation: YANG Tianyu, ZHANG Penglin, YIN Yan, LIU Wenzhao, ZHANG Ruihua. Microstructure based on selective laser melting and mechanical properties prediction through artificial neural net[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2019, 40(6): 100-106. DOI: 10.12073/j.hjxb.2019400162
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Microstructure based on selective laser melting and mechanical properties prediction through artificial neural net

  • 1.

    State Key Laboratory of Advanced Processing and Recycling of Nonferrous Metals, Lanzhou University of Technology, Lanzhou 730050,China

  • 2.

    China Iron & Steel Research Institute Group, Beijing 100081, China;Hardware Knife Cut Industrial Technology Research Institute Yangjiang, Yangjiang 529533, China

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  • Received Date: March 16, 2018
    Graphical Abstract
    • Abstract
  • Selective laser melting has been applied to fabricate 18Ni300. SEM is used to observe dendritic growth orientation and solidification structure. Artificial neural network is applied to rank the respective importance of laser power, scanning speed and scanning space for mechanical properties, while BP neural net with improved weight by genetic algorithm is applied to the prediction of tensile property. Results show that the main structure of the specimen is columnar dendritic crystals with significant epitaxial growth. The orientation of the growth is determined by the solidification condition at the bottom of the molten pool. CET can easily take place on the top of the melting pool. Meanwhile, there is transition zone in other places contributed by the thermo capillary convection. The result of the importance prediction by artificial neural network shows:They order from high to low is laser power, scanning speed and scanning space.Since the prediction results agree with the actual ones, BP neural net can effectively predict actual results. The determination coefficient R2=0.73.
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    • References (19)
  • 尹华,白培康,刘斌,等.金属粉末选区激光熔化技术的研究现状及其发展趋势[J].热加工工艺, 2010, 39(1):140-144 Yin Hua, Bai Peikang, Liu Bin, et al. The research status and development trend of selective laser melting[J]. Hot Working Technology, 2010, 39(1):140-144
    沈以赴,吴鹏,顾冬冬,等. Ni-CuSn混合粉末选区激光烧结试验[J].焊接学报, 2005, 26(2):73-76 Shen Yifu, Wu Peng, Gu Dongdong, et al. Laser sinter experiment using Ni-CuSn mixed powder[J]. Transactions of the China Welding Institution, 2005, 26(2):73-76
    付立定.不锈钢粉末选择性激光熔化直接制造金属零件研究[D].武汉:华中科技大学, 2008.
    Suryawanshi J, Prashanth K G, Scudino S, et al. Simultaneous enhancements of strength and toughness in an Al-12Si alloy synthesized using selective laser melting[J]. Acta Materialia, 2016, 115:285-294.
    Sander J, Hufenbach J, Giebeler L, et al. Microstructure and properties of FeCrMoVC tool steel produced by selective laser melting[J]. Materials&Design, 2016, 89:335-341.
    周鑫.激光选区熔化微尺度熔池特性与凝固微观组织[D].北京:清华大学, 2016.
    Raghavan N, Dehoff R, Pannala S, et al. Numerical modeling of heat-transfer and the influence of process parameters on tailoring the grain morphology of IN718 in electron beam additive manufacturing[J]. Acta Materialia, 2016, 112:303-314.
    王迪,杨永强,吴伟辉.光纤激光选区熔化316L不锈钢工艺优化[J].中国激光, 2009, 36(12):3233-3239 Wang Di, Yang Yongqiang, Wu Weihui. Selective fiber laser melting parameter optimization using 316L powder[J]. Chinese Journal of Lasers, 2009, 36(12):3233-3239
    闫程程,杨立军,代文豪,等.工艺参数对激光选区熔化316L不锈钢表面质量的影响[J].热加工工艺, 2017(20):170-174 Yan Chengcheng, Yang Lijun, Dai Wenhao, et al. The parameter influence on surface quality of selective laser melting using 316L powder[J]. Hot Working Technology, 2017(20):170-174
    张爱华,高佛来,牛小革,等.基于BP神经网络的钢轨闪光对焊接头灰斑面积预测[J].焊接学报, 2016, 37(11):11-14 Zhang Aihua, Gao Fulai, Niu Xiaoge, et al. Rail way flash welding joint grey spot area prediction using BP neural network[J]. Transactions of the China Welding Institution, 2016, 37(11):11-14
    周建平,许燕,操窘,等.基于BP神经网络和遗传算法的大功率脉冲电源优化设计[J].焊接学报, 2016, 37(4):9-13 Zhou Jianping, Xu Yan, Cao Jiong, et al. Optimization design of high pulse power supply using BP neural network and genetic algorithm[J]. Transactions of the China Welding Institution, 2016, 37(4):9-13
    王超,胡彬.基于遗传算法的18Ni300钢持久性能的神经网络预测[J].工具技术, 2016, 50(4):61-64 Wang Chao, Hu Bin. 18Ni300 endurance property prediction using genetic algorithm[J]. Tool Technology, 2016, 50(4):61-64
    Rehme O, Emmelmann C. Reproducibility for properties of selective laser melting products[C]//Proceedings of the 3nd International WLT-Conference on Lasers in Manufacturing, Munich:2005:1-6.
    Fang Jinxiang, Dong Shiyun, Wang Yujiang, et al. Residual stress modeling of thin wall by laser cladding forming[J]. China Welding, 2017, 26(3):34-38.
    Zhang Ke, Zhang Zhixi, Jiang Yongfeng, et al. Microstructure and corrosion resistance of 304 stainless steel electroslag strip cladding[J]. China Welding, 2016, 25(1):15-20.
    黄卫东.激光立体成形[M].西安:西北工业大学出版社, 2007.
    杨森,黄卫东,苏云鹏,等. DD2单晶合金激光表面熔凝处理的组织[J].中国激光, 2001, 28(2):186-188 Yang Sen, Huang Weidong, Su Yunpeng, et al. DD2 monocrystal structure after laser process[J]. Chinese Journal of Lasers, 2001, 28(2):186-188
    Kurz W, Fisher D J. Fundamentals of Solidification[M]. Switzerland, Laubisrutistr:Trans Tech Publications Ltd., 1989.
    苏彦庆,郭景哲,刘畅,等.定向凝固技术与理论研究的进展[J].特种铸造及有色合金, 2006, 26(1):25-30 Su Yanqing, Guo Jingzhe, Liu Chang, et al. The development of solidification technology[J]. Special Casting Nonferrous Alloy, 2006, 26(1):25-30
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