Optimization of in-situ laser remelting parameters for enhancing mechanical properties of parts produced by laser powder bed fusion process

被引:0
|
作者
Pham, Dac-Phuc [2 ]
Tran, Hong-Chuong [1 ]
机构
[1] Natl Taipei Univ Technol, Dept Mech Engn, Taipei 10608, Taiwan
[2] Southern Taiwan Univ Sci & Technol, Dept Mech Engn, Tainan, Taiwan
来源
关键词
Surface Roughness (SR); Laser Remelting (LR); Laser powder bed fusion (L-PBF); Computational Fluid Dynamics (CFD); SURFACE-ROUGHNESS; FATIGUE RESISTANCE; HEAT-TRANSFER; SPATTER; FLOW; MICROSTRUCTURE; PREDICTION; FEATURES; ALLOY;
D O I
10.1016/j.optlastec.2024.111636
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
The Laser Powder Bed Fusion (L-PBF) process employs a controlled laser beam to melt specific regions of a metal powder layer in a layer-by-layer manner to fabricate parts with complex geometries. Owing to its stochastic nature, defects such as distortion, porosity, and poor surface roughness often occur during the L-PBF process. Poor surface roughness of the intermediate layers during the build process has a detrimental impact on the mechanical properties of the final component. Furthermore, poor surface roughness may also cause the mechanical properties of the components fabricated at different locations on the build plate to be inconsistent. Accordingly, the present study uses a Laser Remelting (LR) technique to improve the surface roughness of the intermediate layers during the L-PBF build process. An integrated computational framework comprising a surface generation model and a Computational Fluid Dynamics (CFD) simulation model is employed to simulate the surface roughness of the L-PBF processed surface morphology following the application of LR. The framework is verified using experimental data and then combined with a surrogate model to predict the melt pool depth and surface roughness for any combination of the laser power, scanning speed, and initial surface roughness within the feasible design space. The LR processing conditions that minimize the surface roughness and melt pool depth, and hence improve the density of the final component, are determined by screening the predictions of the surrogate model using two criteria: (1) a predicted surface roughness lower than 9 mu m and (2) a melt pool depth that avoids the keyhole region. The feasibility of the proposed L-PBF+LR method is experimentally demonstrated using SS316L powder as the feedstock material. Tensile test specimens fabricated using the optimal processing conditions show an overall tensile strength of 550 +/- 7.8 MPa and an overall yield strength of 420 +/- 5.9 MPa. Compared to a conventional L-PBF process performed with a layer thickness of 30 mu m, the mechanical properties of the optimal printed specimens are improved by 96 %, while the fabrication time is reduced by approximately 48 %.
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页数:20
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