An experimentally validated dislocation density based computational framework for predicting microstructural evolution in cold spray process

被引:23
作者
Msolli, Sabeur [1 ]
Zhang, Zhi-Qian [1 ]
Seng, Debbie Hwee Leng [2 ]
Zhang, Zheng [2 ]
Guo, Junyan [1 ]
Reddy, C. D. [1 ]
Sridhar, N. [1 ]
Pan, Jisheng [2 ]
Tan, Boon Hee [3 ]
Loi, Qizhong [3 ]
机构
[1] ASTAR Res Ent, Inst High Performance Comp, 16-16,1 Fusionopolis Way, Singapore 138632, Singapore
[2] ASTAR Res Ent, Inst Mat Res & Engn, 08-03,2 Fusionopolis Way, Singapore 138634, Singapore
[3] ASTAR Res Ent, Adv Remfg & Technol Ctr, 01-01,3 Cleantech Loop, Singapore 637143, Singapore
关键词
Cold Spray; Dislocation density; Cell size; Mis-orientation angle; Grain refinement; GRAIN-SIZE EVOLUTION; HIGH-VELOCITY IMPACT; DYNAMIC RECRYSTALLIZATION; MECHANICAL-PROPERTIES; BONDING MECHANISM; FLOW BEHAVIOR; DEFORMATION; PARTICLE; STRAIN; MODEL;
D O I
10.1016/j.ijsolstr.2021.111065
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
We present an experimentally validated computational model for microstructural evolution in the cold spray additive manufacturing process of Al6061 alloy coating. The microstructural characteristics are determined with a dislocation density-based model that is shown to be applicable to cold spray modeling and is implemented in a Eulerian finite element framework to predict microstructural evolution for both single and multiple particle cold spray deposition. A comparison of the numerical and experimental results from Scanning Electron Microscope (SEM), Electron Backscatter Diffraction (EBSD) and Kernel Average Mis-orientation (KAM) analyses, reveals the evolution of cell size and mis-orientation resulting in grain refinement at the particle-substrate and particle-particle interfaces. Although there is a large plastic deformation due to high speed impact, the dislocation density in the particle decreases with distance from the impacting interface and this feature is observed in both the simulation results and the experimental characterization data. The validated model can be leveraged to predict microstructural evolution under different process conditions including spray angle, pre-heat temperature, and impact velocity. (C) 2021 Elsevier Ltd. All rights reserved.
引用
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页数:23
相关论文
共 59 条
[1]   DYNAMIC RECRYSTALLIZATION IN HIGH-STRAIN, HIGH-STRAIN-RATE PLASTIC-DEFORMATION OF COPPER [J].
ANDRADE, U ;
MEYERS, MA ;
VECCHIO, KS ;
CHOKSHI, AH .
ACTA METALLURGICA ET MATERIALIA, 1994, 42 (09) :3183-3195
[2]  
[Anonymous], 2018, ABAQUS USER MANUAL
[3]   Bonding mechanism in cold gas spraying [J].
Assadi, H ;
Gärtner, F ;
Stoltenhoff, T ;
Kreye, H .
ACTA MATERIALIA, 2003, 51 (15) :4379-4394
[4]   Cold Sprayability of Mixed Commercial Purity Ti Plus Ti6Al4V Metal Powders [J].
Aydin, Huseyin ;
Alomair, Mashael ;
Wong, Wilson ;
Phuong Vo ;
Yue, Stephen .
JOURNAL OF THERMAL SPRAY TECHNOLOGY, 2017, 26 (03) :360-370
[5]  
Chen C., 2019, MICRO NANO TECHNOLOG
[6]   Cold spraying of thermally softened Ni-coated FeSiAl composite powder: Microstructure characterization, tribological performance and magnetic property [J].
Chen, Chaoyue ;
Xie, Xinliang ;
Xie, Yingchun ;
Planche, Marie-Pierre ;
Deng, Sihao ;
Ji, Gang ;
Aubry, Eric ;
Ren, Zhongming ;
Liao, Hanlin .
MATERIALS & DESIGN, 2018, 160 :270-283
[7]   Evaluation of the interfacial bonding between particles and substrate in angular cold spray [J].
Chen, Chaoyue ;
Xie, Yingchun ;
Yin, Shuo ;
Planche, Marie-Pierre ;
Deng, Sihao ;
Lupoi, Rocco ;
Liao, Hanlin .
MATERIALS LETTERS, 2016, 173 :76-79
[8]   A unified static and dynamic recrystallization Internal State Variable (ISV) constitutive model coupled with grain size evolution for metals and mineral aggregates [J].
Cho, H. E. ;
Hammi, Y. ;
Bowman, A. L. ;
Karato, Shun-ichiro ;
Baumgardner, J. R. ;
Horstemeyer, M. F. .
INTERNATIONAL JOURNAL OF PLASTICITY, 2019, 112 :123-157
[9]   Dislocation Density-Based Grain Refinement Modeling of Orthogonal Cutting of Titanium [J].
Ding, Hongtao ;
Shin, Yung C. .
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2014, 136 (04)
[10]   Predictive modeling of grain refinement during multi-pass cold rolling [J].
Ding, Hongtao ;
Shen, Ninggang ;
Shin, Yung C. .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2012, 212 (05) :1003-1013