TY - JOUR
T1 - Thermal-fluid behavior, microstructure and mechanical properties in liquid bridge transfer mode during directed energy deposition-arc additive manufacturing – Insights using NiTi as a model alloy
AU - Ke, Wenchao
AU - Yan, Wentao
AU - Oliveira, J. P.
AU - Pang, Bowen
AU - Chen, Long
AU - Wu, Yiming
AU - Teshome, F. B.
AU - Shen, Jiajia
AU - Wang, Liwei
AU - Tan, Caiwang
AU - Peng, Bei
AU - Song, Xiaoguo
AU - Zeng, Zhi
N1 - Funding Information:
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0037%2F2020/PT#
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F50025%2F2020/PT#
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50025%2F2020/PT#
This work was supported by National Natural Science Foundation of China (No. 52175292 ), Science and Technology Project of Sichuan Province (No. 23NSFJQ0064 , 2022YFQ0058 , 2021YFG0053 ), and Guangdong Basic and Applied Basic Research Foundation (No. 2021B1515140048 ). JPO acknowledges funding by national funds from FCT - Fundação para a Ciência e a Tecnologia , I.P., in the scope of the projects LA/P/0037/2020 , UIDP/50025/2020 and UIDB/50025/2020 of the Associate Laboratory Institute of Nanostructures, Nanomodelling and Nanofabrication – i3N. Wenchao Ke acknowledges the support by China Scholarship Council (No. 202106070085 ).
Publisher Copyright:
© 2023 Elsevier B.V.
PY - 2023/9/5
Y1 - 2023/9/5
N2 - During Directed Energy Deposition-Arc (DED-Arc), the droplet transfer, molten dynamics and temperature characteristics greatly impact the morphology and microstructure of the as-built component. In the study, a commonly used computational fluid dynamics (CFD) model, which ignores the droplet growth (CFDc model), and an improved CFD model considering the droplet growth (CFDi model) were coupled to balance the calculation efficiency and accuracy. A NiTi shape memory alloy is used as a model alloy. The CFDi model can inherit the thermophysical data of the molten pool in a quasi-steady state calculated by CFDc model and continue the subsequent calculations. With the coupled CFDc-CFDi model, the metal transfer phenomena in the liquid bridge transfer (LBT) and free droplet transfer (FDT) modes were well compared. The numerical results are in excellent agreement with the experimental data. It is shown that the metal transfer in LBT mode is more stable than in the FDT mode, resulting in a more stable molten pool and better forming quality. Besides, the LBT mode is also superior to FDT mode due to the narrower phase transformation range and better mechanical properties of the as-built samples. The present findings lay foundations for optimizing the DED-arc process for any engineering metallic alloy.
AB - During Directed Energy Deposition-Arc (DED-Arc), the droplet transfer, molten dynamics and temperature characteristics greatly impact the morphology and microstructure of the as-built component. In the study, a commonly used computational fluid dynamics (CFD) model, which ignores the droplet growth (CFDc model), and an improved CFD model considering the droplet growth (CFDi model) were coupled to balance the calculation efficiency and accuracy. A NiTi shape memory alloy is used as a model alloy. The CFDi model can inherit the thermophysical data of the molten pool in a quasi-steady state calculated by CFDc model and continue the subsequent calculations. With the coupled CFDc-CFDi model, the metal transfer phenomena in the liquid bridge transfer (LBT) and free droplet transfer (FDT) modes were well compared. The numerical results are in excellent agreement with the experimental data. It is shown that the metal transfer in LBT mode is more stable than in the FDT mode, resulting in a more stable molten pool and better forming quality. Besides, the LBT mode is also superior to FDT mode due to the narrower phase transformation range and better mechanical properties of the as-built samples. The present findings lay foundations for optimizing the DED-arc process for any engineering metallic alloy.
KW - Computational fluid dynamics (CFD)
KW - Droplet transfer
KW - Molten pool dynamics
KW - NiTi shape memory alloys
KW - Wire arc additive manufacturing (WAAM)
UR - http://www.scopus.com/inward/record.url?scp=85174446357&partnerID=8YFLogxK
U2 - 10.1016/j.addma.2023.103807
DO - 10.1016/j.addma.2023.103807
M3 - Article
AN - SCOPUS:85174446357
SN - 2214-8604
VL - 77
JO - Additive Manufacturing
JF - Additive Manufacturing
M1 - 103807
ER -