Segregation of 316L stainless steel powder during spreading in selective laser melting based additive manufacturing

被引:32
作者
Yao, Dengzhi [1 ]
Wang, Ju [1 ]
Li, Meng [1 ]
Zhao, Tingting [2 ]
Cai, Yao [1 ]
An, Xizhong [1 ]
Zou, Ruiping [3 ]
Zhang, Hao [1 ]
Fu, Haitao [1 ]
Yang, Xiaohong [1 ]
Zou, Qingchuan [1 ]
机构
[1] Northeastern Univ, Sch Met, Key Lab Ecol Met Multimet Mineral, Minist Educ, Shenyang 110819, Liaoning, Peoples R China
[2] Dalian Univ Technol, Sch Mat Sci & Engn, Key Lab Solidificat Control & Digital Preparat Tec, Dalian 116024, Peoples R China
[3] Monash Univ, Dept Chem Engn & Biol Engn, ARC Hub Computat Particle Technol, Melbourne, Vic 3800, Australia
关键词
Selective laser melting; Additive manufacturing; Spreading of 316L stainless steel powder; Segregation mechanics; Numerical simulation; NUMERICAL-SIMULATION; MECHANICAL-PROPERTIES; FLOW BEHAVIOR; MICROSTRUCTURE; TRANSITION; CORROSION; DEM;
D O I
10.1016/j.powtec.2021.117096
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Understanding and controlling particle segregation during spreading are critical in improving the quality of the powder bed and the performance of final products in selective laser melting (SLM) based additive manufacturing. In this paper, the segregation of 316L stainless steel powders during spreading was investigated numerically by means of the discrete element method. The influences of particle size and distribution on the segregation behav-iors and related properties of the powder bed were systematically analyzed. The segregation mechanisms were identified from the microscopic particulate scale based on particle velocity, motion trajectory, and mechanical be-havior. Finally, corresponding solutions were proposed. Results show that for the powder with median diameter D-50 = 45 mu m of Gaussian distribution, the segregation behavior is less serious when the standard deviation <=& nbsp;4 mu m (i.e., the width of size distribution W-d <= 30 mu m). However, when W-d > 30 mu m, increasing W-d will lead to severe segregation. Compared with the powder size, W-d has less influence on the packing density and uniformity of the powder bed. Decreasing the particle size will aggravate segregation of the powder bed when D-50 >= 35 mu m and this phenomenon will be weakened when D-50 < 35 mu m. In the present work, the powder bed becomes more compact and uniform with the decrease of D-50. Different mechanics of large and small particles lead to differences in their motion behaviors, causing segregation during spreading. For the powders with a fixed size distribution, the segregation behavior could be weakened by increasing the blade velocity appropriately. The results presented here will provide valuable references for superior powder spreading as well as printing in practical applications.(c) 2022 Elsevier B.V. All rights reserved.
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页数:15
相关论文
共 62 条
[1]   Corrosion behavior and biocompatibility of additively manufactured 316L stainless steel in a physiological environment: the effect of citrate ions [J].
Al-Mamun, Nahid Sultan ;
Deen, Kashif Mairaj ;
Haider, Waseem ;
Asselin, Edouard ;
Shabib, Ishraq .
ADDITIVE MANUFACTURING, 2020, 34
[2]   Dual interfacial characterization and property in multi-material selective laser melting of 316L stainless steel and C52400 copper alloy [J].
Bai, Yuchao ;
Zhang, Jiayi ;
Zhao, Cuiling ;
Li, Chaojiang ;
Wang, Hao .
MATERIALS CHARACTERIZATION, 2020, 167
[3]   Numerical simulation of the impact of laying powder on selective laser melting single-pass formation [J].
Cao, Liu .
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2019, 141 :1036-1048
[4]   Packing quality of powder layer during counter-rolling-type powder spreading process in additive manufacturing [J].
Chen, Hui ;
Chen, Yuxiang ;
Liu, Ying ;
Wei, Qingsong ;
Shi, Yusheng ;
Yan, Wentao .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2020, 153
[5]   Powder-spreading mechanisms in powder-bed-based additive manufacturing: Experiments and computational modeling [J].
Chen, Hui ;
Wei, Qingsong ;
Zhang, Yingjie ;
Chen, Fan ;
Shi, Yusheng ;
Yan, Wentao .
ACTA MATERIALIA, 2019, 179 :158-171
[6]   Flow behavior of powder particles in layering process of selective laser melting: Numerical modeling and experimental verification based on discrete element method [J].
Chen, Hui ;
Wei, Qingsong ;
Wen, Shifeng ;
Li, Zhongwei ;
Shi, Yusheng .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2017, 123 :146-159
[7]   The effects of quasi Gaussian size distributions on dynamic behavior of a one-dimensional granular gas [J].
Chen, Zhi-Yuan ;
Zhang, Duan-Ming ;
Li, Zhong-Ming ;
Yang, Feng-Xia .
POWDER TECHNOLOGY, 2009, 188 (03) :206-212
[8]   Correlations between segregation intensity and material properties such as particle sizes and adhesions and novel methods for assessment [J].
Deng, Tong ;
Garg, Vivek ;
Salehi, Hamid ;
Bradley, Michael S. A. .
POWDER TECHNOLOGY, 2021, 387 :215-226
[9]   Spreading Process Maps for Powder-Bed Additive Manufacturing Derived from Physics Model-Based Machine Learning [J].
Desai, Prathamesh S. ;
Higgs, C. Fred, III .
METALS, 2019, 9 (11)
[10]   Pitting behavior of SLM 316L stainless steel exposed to chloride environments with different aggressiveness: Pitting mechanism induced by gas pores [J].
Duan, Zhiwei ;
Man, Cheng ;
Dong, Chaofang ;
Cui, Zhongyu ;
Kong, Decheng ;
Wang, Li ;
Wang, Xin .
CORROSION SCIENCE, 2020, 167 (167)