Numerical simulation of temperature field distribution for laser sintering graphene reinforced nickel matrix nanocomposites

JOURNAL OF ALLOYS AND COMPOUNDS

卷:688

Article

Hu, Zengrong^1,2,4,5  Saei, Mojib²  Tong, Guoquan⁴  Lin, Dong⁶  Nian, Qiong²  Hu, Yaowu²  Jin, Shengyu²  Xu, Jiale⁵  Cheng, Gary J.^2,3 

[1] Soochow Univ, Sch Urban Rail Transportat, Suzhou 215131, Jiangsu, Peoples R China

[2] Purdue Univ, Sch Ind Engn, W Lafayette, IN 47906 USA

[3] Purdue Univ, Birck Nanotechnol Ctr, W Lafayette, IN 47906 USA

[4] Nanjing Univ Aeronaut & Astronaut, Nanjing 210016, Jiangsu, Peoples R China

[5] Jiangsu Univ, Jiangsu Prov Key Lab Sci & Technol Photon Mfg, Zhenjiang 212013, Jiangsu, Peoples R China

[6] Kansas State Univ, Dept Ind & Mfg Syst Engn, Manhattan, KS 66502 USA

关键词: Numerical simulation;    Laser sintering;    Temperature field;    Nanocomposite;   

DOI  :  10.1016/j.jallcom.2016.07.022

来源: Elsevier

【 摘 要 】

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. (C) 2016 Elsevier B.V. All rights reserved.

【 授权许可】

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