Xiong, F., Huang, C., Kafka, O.L., Lian, Y., Yan, W., Chen, M. and Fang, D. (2021) Grain Growth Prediction in Selective Electron Beam Melting of Ti-6Al-4V with a Cellular Automaton Method. Materials & Design, 199, Article ID: 109410.
https://doi.org/10.1016/j.matdes.2020.109410

has been cited by the following article:

• TITLE: Quantitative Simulation Study of Metal Additive Manufacturing by Kinetic Monte Carlo

  AUTHORS: Kepeng Ouyang, Youdi Kuang

  KEYWORDS: Additive Manufacturing, Kinetic Monte Carlo Simulation, Grain Morphology

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.10 No.5, May 18, 2022

  ABSTRACT: Metal additive manufacturing (AM) is a disruptive manufacturing technology that takes into account the needs of complex structural forming and high-performance component forming. At present, the understanding of metal additive manufacturing simulation methods is not thorough enough, which restricts the development of metal additive manufacturing. Present work discusses the evolution of KMC method simulation results for simulating metal additive manufacturing at different length ratios and different scanning speeds. The results reveal that as the scanning speed increases, the main grains in the simulation results are transformed from coarse columnar grains to crescent-shaped grains, which are in good agreement with the existing experimental results. Besides, as the ratio of unit physical length to unit simulation length increases, the ratio of unit physical time to unit simulation time gradually decreases.