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research-article

Cellular Automaton Simulation of Microstructure Evolution for Friction Stir Blind Riveting

[+] Author and Article Information
Avik Samanta

Department of Mechanical & Industrial Engineering, University of Iowa, Iowa City, IA 52242, USA
avik-samanta@uiowa.edu

Ninggang Shen

Department of Mechanical & Industrial Engineering, University of Iowa, Iowa City, IA 52242, USA
ninggang-shen@uiowa.edu

Haipeng Ji

Department of Mechanical & Industrial Engineering, University of Iowa, Iowa City, IA 52242, USA; Research Institute for Energy Equipment Materials, Hebei University of Technology, Tianjin, 300130, China
haipengji@163.com

Wei-Ming Wang

Department of Mechanical Engineering, University of Hawaii at Manoa, Honolulu, HI 96822
wmwang@hawaii.edu

Jingjing Li

The Harold and Inge Marcus Department of Industrial and Manufacturing Engineering, Penn State University, State College, PA 16801, USA
jul572@engr.psu.edu

Hongtao Ding

Department of Mechanical & Industrial Engineering, University of Iowa, Iowa City, IA 52242, USA
hongtao-ding@uiowa.edu

1Corresponding author.

ASME doi:10.1115/1.4038576 History: Received October 09, 2017; Revised November 17, 2017

Abstract

Friction stir blind riveting (FSBR) process offers the ability to create highly efficient joints for lightweight metal alloys. During the process, a distinctive gradient microstructure can be generated for the work material near the rivet hole surface due to high-gradient plastic deformation and friction. In this work, discontinuous dynamic recrystallization (dDRX) is found to be the major recrystallization mechanism of aluminum alloy 6111 undergoing FSBR. A Cellular Automaton (CA) model is developed for the first time to simulate the evolution of microstructure of workpiece material during the dynamic FSBR process by incorporating main microstructure evolution mechanisms, including dislocation dynamics during severe plastic deformation, dynamic recovery, dDRX and subsequent grain growth. Complex thermomechanical loading conditions during FSBR are obtained using a mesh-free Lagrangian particle-based smooth particle hydrodynamics (SPH) method, and are applied in the CA model to predict the microstructure evolution near the rivet hole. The simulation results in grain structure agree well with the experiments, which indicates that the important characteristics of microstructure evolution during the FSBR process are well captured by the CA model. This study presents a novel numerical approach to model and simulate microstructure evolution undergoing severe plastic deformation processes.

Copyright (c) 2017 by ASME
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