TY - JOUR
T1 - Numerical simulation of temperature field distribution for laser sintering graphene reinforced nickel matrix nanocomposites
AU - Hu, Zengrong
AU - Saei, Mojib
AU - Tong, Guoquan
AU - Lin, Dong
AU - Nian, Qiong
AU - Hu, Yaowu
AU - Jin, Shengyu
AU - Xu, Jiale
AU - Cheng, Gary J.
N1 - Funding Information:
GJC acknowledge the financial supported by US National Institute of Standard and Technology (NIST) and Office of Naval Research . ZH thanks support from Open Fund of Jiangsu Provincial Key Laboratory for Science and Technology of Photon Manufacturing (Jiangsu University GZ201301 ) and Colleges and Universities in Jiangsu Province plans to graduate research and innovation (CXLX13_168).
Publisher Copyright:
© 2016 Elsevier B.V.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2016
Y1 - 2016
N2 - Transient temperature field distribution is important for quality control of laser sintering graphene (Gr) reinforced nickel matrix (Ni-Gr) nanocomposites and the optimization of sintering parameters. To date, it is difficult to measure the temperature field directly. Thus, numerical simulation was utilized to study the distribution and evolution of temperature field. Finite element models were employed to simulate the sintering process of Ni-Gr coatings on AISI 4140 steel. The temperature distribution, the depth of the melting pool, the width of metallurgical bonding and the parameter optimizing method for laser sintering were investigated. In order to verify simulation results, single-track experiments were performed with the same laser sintering parameters as simulation. Simulated results reveal that convection and radiation heat transfer, and the latent heat of phase transition play a major role in the sintering process. Simulation output is consistent with experiments under the same processing parameters. Based on simulation results, substrate melting depth, metallurgical bonding width and thermal accumulation effects can be predicted. Thus, according to these guidelines, the optimal laser sintering parameters can be decided.
AB - Transient temperature field distribution is important for quality control of laser sintering graphene (Gr) reinforced nickel matrix (Ni-Gr) nanocomposites and the optimization of sintering parameters. To date, it is difficult to measure the temperature field directly. Thus, numerical simulation was utilized to study the distribution and evolution of temperature field. Finite element models were employed to simulate the sintering process of Ni-Gr coatings on AISI 4140 steel. The temperature distribution, the depth of the melting pool, the width of metallurgical bonding and the parameter optimizing method for laser sintering were investigated. In order to verify simulation results, single-track experiments were performed with the same laser sintering parameters as simulation. Simulated results reveal that convection and radiation heat transfer, and the latent heat of phase transition play a major role in the sintering process. Simulation output is consistent with experiments under the same processing parameters. Based on simulation results, substrate melting depth, metallurgical bonding width and thermal accumulation effects can be predicted. Thus, according to these guidelines, the optimal laser sintering parameters can be decided.
KW - Laser sintering
KW - Nanocomposite
KW - Numerical simulation
KW - Temperature field
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U2 - 10.1016/j.jallcom.2016.07.022
DO - 10.1016/j.jallcom.2016.07.022
M3 - Article
AN - SCOPUS:84978818871
VL - 688
SP - 438
EP - 448
JO - Journal of Alloys and Compounds
JF - Journal of Alloys and Compounds
SN - 0925-8388
ER -