Open Access
ARTICLE
Simulating the Effect of Temperature Gradient on Grain Growth of 6061-T6 Aluminum Alloy via Monte Carlo Potts Algorithm
Qi Wu*, Jianan Li, Lianchun Long, Linao Liu
Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China
* Corresponding Author: Qi Wu. Email:
Computer Modeling in Engineering & Sciences 2021, 129(1), 99-116. https://doi.org/10.32604/cmes.2021.015669
Received 03 January 2021; Accepted 19 April 2021; Issue published 24 August 2021
Abstract
During heat treatment or mechanical processing, most polycrystalline materials experience grain growth, which
significantly affects their mechanical properties. Microstructure simulation on a mesoscopic scale is an important
way of studying grain growth. A key research focus of this type of method has long been how to efficiently and
accurately simulate the grain growth caused by a non-uniform temperature field with temperature gradients. In
this work, we propose an improved 3D Monte Carlo Potts (MCP) method to quantitatively study the relationship between non-uniform temperature fields and final grain morphologies. Properties of the aluminum alloy
AA6061-T6 are used to establish a trial calculation model and to verify the algorithms with existing experimental
results in literature. The detailed grain growth process of the 6061-T6 aluminum alloy under different temperature
fields is then obtained, and grain morphologies at various positions are analyzed. Results indicate that while
absolute temperature and duration time are the primary factors determining the final grain size, the temperature
gradient also has strong influence on the grain morphologies. The relationships between temperatures, temperature
gradients and grain growth process have been established. The proposed MCP algorithm can be applied to different
types of materials when the proper parameters are used.
Keywords
Cite This Article
Wu, Q., Li, J., Long, L., Liu, L. (2021). Simulating the Effect of Temperature Gradient on Grain Growth of 6061-T6 Aluminum Alloy via Monte Carlo Potts Algorithm.
CMES-Computer Modeling in Engineering & Sciences, 129(1), 99–116. https://doi.org/10.32604/cmes.2021.015669
Citations