Global local modeling of melt pool dynamics and bead formation in laser bed powder fusion additive manufacturing using a multi-physics thermo-fluid simulation

被引:0
作者
Faiyaz Ahsan
Jafar Razmi
Leila Ladani
机构
[1] Ira A. Fulton Schools of Engineering,
来源
Progress in Additive Manufacturing | 2022年 / 7卷
关键词
Metal additive manufacturing; Laser powder bed fusion; Thermo-fluid multiphysics modeling; Melt pool flow; Dimensional analysis;
D O I
暂无
中图分类号
学科分类号
摘要
Understanding the physical mechanism of laser–powder bed fusion (LPBF) additive manufacturing can benefit significantly through computational modeling. LPBF uses a laser heat source to melt a number of layer of powder particles and manufactures a part based on the CAD design. This work aims to assess the impact of Marangoni flow, buoyancy and recoil pressure to simulate the fluid flow around melt pool with a non-Gaussian laser beam to simulate the interaction between laser and powder bed. It was observed that velocity profile shows two peaks on either side of the highest temperature point owing to Marangoni convection on both sides due to gradient in surface tension. Dimensional analysis was also conducted based on Peclet number, Nusselt number and Marangoni number to determine the mode of heat transport at various laser power/scan speed combinations. Convective heat flow is the dominant form of heat transfer at higher energy input due to violent flow of the fluid and recoil pressure around the molten region, which can also create keyhole effect associated with defects such as porosities. The computational model was also validated by comparing solidified bead geometry with experimental data.
引用
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页码:1275 / 1285
页数:10
相关论文
共 43 条
[31]   On the melt pool dynamic of voxel-controlled metal matrix composites via hybrid additive manufacturing: Laser powder bed fusion and ink-jetting [J].
Ghayoor, Milad ;
Sadeghi, Omid ;
Cox, Bryce ;
Gess, Joshua ;
Pasebani, Somayeh .
JOURNAL OF MANUFACTURING PROCESSES, 2023, 89 :314-327
[32]   Thermal modeling in metal additive manufacturing using graph theory ? Application to laser powder bed fusion of a large volume impeller [J].
Yavari, Reza ;
Williams, Richard ;
Riensche, Alex ;
Hooper, Paul A. ;
Cole, Kevin D. ;
Jacquemetton, Lars ;
Halliday, Harold ;
Rao, Prahalada Krishna .
ADDITIVE MANUFACTURING, 2021, 41
[33]   Traditional machine learning and deep learning for predicting melt-pool cross-sectional morphology of laser powder bed fusion additive manufacturing with thermographic monitoring [J].
Wang, Haijie ;
Li, Bo ;
Zhang, Saifan ;
Xuan, Fuzhen .
JOURNAL OF INTELLIGENT MANUFACTURING, 2025, 36 (03) :2079-2104
[34]   3-Dimensional heat transfer modeling for laser powder bed fusion additive manufacturing using parallel computing and adaptive mesh [J].
Zhang, Zhi-Dong ;
Shahabad, Shahriar Imani ;
Ibhadode, Osezua ;
Dibia, Chinedu Francis ;
Bonakdar, Ali ;
Toyserkani, Ehsan .
OPTICS AND LASER TECHNOLOGY, 2023, 158
[35]   Predicting meltpool depth and primary dendritic arm spacing in laser powder bed fusion additive manufacturing using physics-based machine learning [J].
Riensche, Alex R. ;
Bevans, Benjamin D. ;
King, Grant ;
Krishnan, Ajay ;
Cole, Kevin D. ;
Rao, Prahalada .
MATERIALS & DESIGN, 2024, 237
[36]   Revealing transient powder-gas interaction in laser powder bed fusion process through multi-physics modeling and high-speed synchrotron x-ray imaging [J].
Li, Xuxiao ;
Zhao, Cang ;
Sun, Tao ;
Tan, Wenda .
ADDITIVE MANUFACTURING, 2020, 35
[37]   Understanding the thermo-fluid-microstructural impact of beam shaping in Laser Powder Bed Fusion using high-fidelity multiphysics simulation [J].
Bayat, Mohamad ;
Zinovieva, Olga ;
Zinoviev, Aleksandr ;
Rothfelder, Richard ;
Scharwzkopf, Karen ;
Schmidt, Michael ;
Hattel, Jesper H. .
13TH CIRP CONFERENCE ON PHOTONIC TECHNOLOGIES, LANE 2024, 2024, 124 :358-361
[38]   Melt pool temperature measurement and monitoring during laser powder bed fusion based additive manufacturing via single-camera two-wavelength imaging pyrometry (STWIP) [J].
Vallabh, Chaitanya Krishna Prasad ;
Zhao, Xiayun .
JOURNAL OF MANUFACTURING PROCESSES, 2022, 79 :486-500
[39]   THERMAL MODELING IN METAL ADDITIVE MANUFACTURING USING GRAPH THEORY: EXPERIMENTAL VALIDATION WITH IN-SITU INFRARED THERMOGRAPHY DATA FROM LASER POWDER BED FUSION [J].
Yavari, Reza ;
Williams, Richard ;
Cole, Kevin ;
Hooper, Paul ;
Rao, Prahalada .
PROCEEDINGS OF THE ASME 2020 15TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE (MSEC2020), VOL 1A, 2020,
[40]   Multi-metal additive manufacturing of selectively doped 316 L stainless steel-copper composite using hybrid laser powder bed fusion [J].
Lee, Kijoon ;
Doddapaneni, V. Vinay K. ;
Mirzababaei, Saereh ;
Pasebani, Somayeh ;
Chang, Chih-Hung ;
Paul, Brian K. .
ADDITIVE MANUFACTURING, 2024, 86