Mesoscopic-Scale Numerical Investigation Including the Influence of Process Parameters on LPBF Multi-Layer Multi-Path Formation

被引:14
作者
Cao, Liu [1 ]
机构
[1] Guangzhou Univ, Guangzhou Higher Educ Mega Ctr, Sch Mech & Elect Engn, Inst Syst Rheol, Guangzhou 510006, Peoples R China
来源
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES | 2021年 / 126卷 / 01期
关键词
Laser powder bed fusion; process parameter; porosity; surface roughness; orthogonal test method; numerical simulation; SLM PROCESS PARAMETERS; MECHANICAL-PROPERTIES; FLOW BEHAVIOR; LASER; SIMULATION; POWDER; EVOLUTION; DYNAMICS; MICROSTRUCTURE; POROSITY;
D O I
10.32604/cmes.2021.014693
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
As a typical laser additive manufacturing technology, laser powder bed fusion (LPBF) has achieved demonstration applications in aerospace, biomedical and other fields. However, how to select process parameters quickly and reasonably is still the main concern of LPBF production. In order to quantitatively analyze the influence of different process parameters (laser power, scanning speed, hatch space and layer thickness) on the LPBF process, the multi-layer and multi-path forming process of LPBF was predicted based on the open-source discrete element method framework Yade and the open-source finite volume method framework OpenFOAM. Based on the design of experiments method, a four-factor three-level orthogonal test scheme was designed, and the porosity and surface roughness data of each calculation scheme were extracted. By analyzing the orthogonal test data, it was found that as the laser power increased, the porosity decreased, and as the scanning speed, hatch space, and layer thickness increased, the porosity increased. In addition, the influence of laser power and scanning speed on surface roughness showed a trend of decreasing first and then increasing, while the influence of scanning distance and layer thickness on surface roughness showed a monotonous increasing trend. The order of the influence of each process parameter on porosity was: scanning speed > laying thickness > laser power > hatch space, and the order of the influence of each process parameter on surface roughness was: hatch space > layer thickness > laser power > scanning speed. So the porosity of the part is most sensitive to scanning speed, and the surface roughness is the most sensitive to hatch space. The above conclusions are expected to provide process control basis for actual LPBF production of the 316L stainless steel alloy.
引用
收藏
页码:5 / 23
页数:19
相关论文
共 51 条
[1]  
Baciu A. M., 2019, P IOP C SERIES MAT S, V572, DOI 10.1088/1757- 899X/572/1/012054
[2]   The Effects of Selective Laser Melting Process Parameters on Relative Density of the AlSi10Mg Parts and Suitable Procedures of the Archimedes Method [J].
Bai, Shigang ;
Perevoshchikova, Nataliya ;
Sha, Yu ;
Wu, Xinhua .
APPLIED SCIENCES-BASEL, 2019, 9 (03)
[3]   Influence mechanism of parameters process and mechanical properties evolution mechanism of maraging steel 300 by selective laser melting [J].
Bai, Yuchao ;
Yang, Yongqiang ;
Wang, Di ;
Zhang, Mingkang .
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, 2017, 703 :116-123
[4]   Influence of Process Parameters on the Porosity, Accuracy, Roughness, and Support Structures of Hastelloy X Produced by Laser Powder Bed Fusion [J].
Calignano, Flaviana ;
Minetola, Paolo .
MATERIALS, 2019, 12 (19)
[5]   Workpiece-scale numerical simulations of SLM molten pool dynamic behavior of 316L stainless steel [J].
Cao, Liu .
COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2021, 96 :209-228
[6]   Mesoscopic-Scale Numerical Simulation Including the Influence of Process Parameters on SLM Single-Layer Multi-pass Formation [J].
Cao, Liu .
METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE, 2020, 51 (08) :4130-4145
[7]   Mesoscopic-scale simulation of pore evolution during laser powder bed fusion process [J].
Cao, Liu .
COMPUTATIONAL MATERIALS SCIENCE, 2020, 179
[8]   Study on the numerical simulation of laying powder for the selective laser melting process [J].
Cao, Liu .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2019, 105 (5-6) :2253-2269
[9]   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
[10]   Study on the Numerical Simulation of the SLM Molten Pool Dynamic Behavior of a Nickel-Based Superalloy on the Workpiece Scale [J].
Cao, Liu ;
Yuan, Xuefeng .
MATERIALS, 2019, 12 (14)