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利用有限单元法模拟选区激光熔化(selective laser melting, SLM)单道成形过程，建立热流耦合模型，考虑了固体金属材料性质随温度变化和相变过程，以及粉末间隙对材料性质的影响。利用焓-孔隙度方法模拟熔池凝固时的动量耗散，确定固-液相界面。根据能量守恒定律，在现有的圆柱体热源模型上，提出了旋转抛物体热源模型，并与传统高斯面热源模型选区激光熔化过程中温度分布和熔池尺寸的预测结果比较。结果表明，在试验激光能量密度研究范围内，旋转抛物体热源和高斯面热源模式下熔池宽度的平均预测误差分别为12.18%、7.07%。对于熔池宽度，高斯面热源的预测精度优于旋转抛物体热源。当激光能量密度为40～100 J/mm3时，旋转抛物体热源和高斯面热源模式下熔池深度的平均预测误差分别为17.00%和38.20%。对于熔池深度来讲，旋转抛物体热源预测精度优于高斯面热源。此外，研究发现考虑熔池流动效应作用下得到的熔池温度分布更加均匀。
Abstract：This paper presents the simulation of temperature in single-track selective laser melting(SLM). The properties of solid metal materials changing with temperature and the phase transition process, as well as the effect of porosity of the metal powder on material properties are considered. The enthalpy-porosity method is adopted to simulate the momentum dissipation during solidification of the melt pool, and the solid-liquid interface is determined. According to the Law of Conservation of Energy, a Parabolic Optical Penetration Depth(POPD) volumetric heat source method is proposed based on the existing cylinder heat source method. The prediction results of the temperature distribution and the melt pool size are compared between the traditional Gaussian surface heat source model and the POPD volumetric heat source model. The results show that the average prediction errors of the molten pool width are 12.18% for the POPD volumetric heat source model, and 7.07% for the traditional Gaussian surface heat source model within the explored laser energy density range. With respect to the width of the molten pool, the prediction accuracy of Gaussian surface heat source is better than that of POPD volumetric heat source mode. When the laser energy density is between 40～100 J/mm3, the average prediction errors of the melt pool depth are 17.00% for the POPD volumetric heat source model, and 38.20% for the traditional Gaussian surface heat source model. With respect to the depth of the molten pool, the prediction accuracy of the POPD volumetric heat source is superior to the Gaussian surface heat source mode. In addition, it is found that the melt pool temperature distribution is much more uniform when considering the melt pool flow effect.
[1] ZHANG J L,SONG B,WEI Q S,et al.A review of selective laser melting of aluminum alloys:Processing,microstructure,property and developing trends[J].Journal of Materials Science & Technology,2019,35(2):270-284.
[2] REZVANI GHOMI E,KHOSRAVI F,NEISIANY R E,et al.Future of additive manufacturing in healthcare[J].Current Opinion in Biomedical Engineering,2021,17:100255.
[3] CHEN S,LIU J G,WANG W D,et al.Research progress in thin-walled parts formed by selective laser melting[J].Journal of Netshape Forming Engineering,2020,12(5):122-131.陈帅，刘建光，王卫东，等.激光选区熔化成形薄壁件研究进展[J].精密成形工程，2020,12(5):122-131.
[4] DAI D H,GU D D,ZHANG H,et al.Influence of scan strategy and molten pool configuration on microstructures and tensile properties of selective laser melting additive manufactured aluminum based parts[J].Optics & Laser Technology,2018,99:91-100.
[5] WANG J F,YUAN J T,WANG Z H,et al.Deformation and residual stress of TC4 titanium alloy thin-wall parts by selective laser melting[J].Laser Technology,2019,43(3):411-416.王俊飞，袁军堂，汪振华，等.激光选区熔化成形TC4钛合金薄壁件变形与残余应力[J].激光技术，2019,43(3):411-416.
[6] YANG L J,ZHENG H,LIJUN.Study on the influence densification and surface hardness of 316L alloy parts by laser selective melting process parameters[J].Applied Laser,2020,40(1):7-12.杨立军，郑航，李俊.激光选区熔化制造工艺参数对316L成型件致密度与表面硬度的影响规律研究[J].应用激光，2020,40(1):7-12.
[7]SALEM M,LE ROUX S,HOR A,et al.A new insight on the analysis of residual stresses related distortions in selective laser melting of Ti-6Al-4V using the improved bridge curvature method[J].Additive Manufacturing,2020,36:101586.
[8] LI B Q,LI Z H,BAI P K,et al.Numerical simulation of stress field for AlSi10Mg fabricated by selective laser melting[J].Applied Laser,2019,39(2):211-216.李保强，李忠华，白培康，等.选区激光熔化AlSi10Mg应力场数值模拟研究[J].应用激光，2019,39(2):211-216.
[9] XIAO Z X,CHEN C P,ZHU H H,et al.Study of residual stress in selective laser melting of Ti6Al4V[J].Materials & Design,2020,193:108846.
[10] CHEN C P,YIN J,ZHU HH,et al.Effect of overlap rate and pattern on residual stress in selective laser melting[J].International Journal of Machine Tools and Manufacture,2019,145:103433.
[11] PATEL S,VLASEA M.Melting modes in laser powder bed fusion[J].Materialia,2020,9:100591.
[12] SHRESTHA R,SHAMSAEI N,SEIFI M,et al.An investigation into specimen property to part performance relationships for laser beam powder bed fusion additive manufacturing[J].Additive Manufacturing,2019,29:100807.
[13] RONG Y Z,LING Z C,YANG Y C,et al.Experimental study on selective laser melting of Ti6Al4V powder[J].Applied Laser,2021,41(1):1-6.荣远卓，凌志成，杨寅晨，等.Ti6Al4V粉末选区激光熔化的基础实验研究[J].应用激光，2021,41(1):1-6.
[14] HAN G L,SHI W T,HAN Y F,et al.Study on surface quality of TC4 alloy formed by selective laser melting based on single-track experiment[J].Laser Journal,2021,42(3):163-169.韩国梁，石文天，韩玉凡，等.基于单熔道试验的选区激光熔化成形TC4钛合金表面成形质量研究[J].激光杂志，2021,42(3):163-169.
[15] ZHANG W Y,TONG M M,HARRISON N M.Scanning strategies effect on temperature,residual stress and deformation by multi-laser beam powder bed fusion manufacturing[J].Additive Manufacturing,2020,36:101507.
[16] LI Y Z,ZALO■NIK M,ZOLLINGER J,et al.Effects of the powder,laser parameters and surface conditions on the molten pool formation in the selective laser melting of IN718[J].Journal of Materials Processing Technology,2021,289:116930.
[17] LIANG P H,TANG Q,FENG Q X,et al.Numerical simulation and experiment of single track scanning and lapping in selective laser melting[J].Journal of Mechanical Engineering,2020,56(22):56-67.梁平华，唐倩，冯琪翔，等.激光选区熔化单道扫描与搭接数值模拟及试验[J].机械工程学报，2020,56(22):56-67.
[18] XIE Y K.Numerical investigation on temperature field and flow field during selective laser melting of Ti-6Al-4V [D].Beijing:Beijing University of Technology,2018:9-12.谢印开.激光选区熔化Ti-6Al-4V温度场与流场的数值模拟[D].北京：北京工业大学，2018:9-12.
[19] LE T N,LO Y L.Effects of sulfur concentration and Marangoni convection on melt-pool formation in transition mode of selective laser melting process[J].Materials & Design,2019,179:107866.
[20] KAMATH C,EL-DASHER B,GALLEGOS G F,et al.Density of additively-manufactured,316L SS parts using laser powder-bed fusion at Powers up to 400 W[J].The International Journal of Advanced Manufacturing Technology,2014,74(1-4):65-78.
[21] MISHRA A K,KUMAR A.Numerical and experimental analysis of the effect of volumetric energy absorption in powder layer on thermal-fluidic transport in selective laser melting of Ti6Al4V[J].Optics & Laser Technology,2019,111:227-239.
[22] BAYAT M,MOHANTY S,HATTEL J H.A systematic investigation of the effects of process parameters on heat and fluid flow and metallurgical conditions during laser-based powder bed fusion of Ti6Al4V alloy[J].International Journal of Heat and Mass Transfer,2019,139:213-230.
[23] ZHANG Z D,HUANG Y Z,RANI KASINATHAN A,et al.3-Dimensional heat transfer modeling for laser powder-bed fusion additive manufacturing with volumetric heat sources based on varied thermal conductivity and absorptivity[J].Optics & Laser Technology,2019,109:297-312.
[24] TRAN H C,LO Y L.Heat transfer simulations of selective laser melting process based on volumetric heat source with powder size consideration[J].Journal of Materials Processing Technology,2018,255:411-425.
[25] DILIP J J S,ZHANG S S,TENG C,et al.Influence of processing parameters on the evolution of melt pool,porosity,and microstructures in Ti-6Al-4V alloy parts fabricated by selective laser melting[J].Progress in Additive Manufacturing,2017,2(3):157-167.
[26] FAN Z Q,LIOU F.Numerical modeling of the additive manufacturing (AM) processes of titanium alloy[M].Titanium Alloys-Towards Achieving Enhanced Properties for Diversified Applications.2012:1-28.
基本信息:
DOI：10.14128/j.cnki.al.20224208.030
中图分类号:TG665
引用信息:
[1]王永福,季霞,梁越昇.考虑熔池流动效应的选区激光熔化温度场模拟研究[J].应用激光,2022,42(08):30-43.DOI:10.14128/j.cnki.al.20224208.030.
基金信息:
国家自然科学基金(52175384); 上海市自然科学基金(21ZR1400600)
2021-09-22
2021
2021-10-28
2021
1
2022-08-25
2022-08-25