Microstructure modelling for metallic additive manufacturing : a review

• Main Authors: Tan, Joel Heang Kuan, Sing, Swee Leong, Yeong, Wai Yee
• 其他作者: Singapore Centre for 3D Printing
• 格式: Article
• 語言: English
• 出版: 2021
• 主題: Engineering; Additive Manufacturing; Microstructure
• 在線閱讀: https://hdl.handle.net/10356/145915
• 機構: Nanyang Technological University

The microstructure of metals depends on the additive manufacturing (AM) process and the process parameters. However, experimentation on different process parameters for different materials is costly and time-consuming. To overcome these challenges, numerical simulations provide insights that allow prediction of microstructure formed under different process parameters. Microstructure modelling requires coupling of macro-scale thermal model or experimentally measured temperature profiles with either a meso-scale or micro-scale microstructure model. In this review, the commonly used AM techniques for metals are introduced, followed by a discussion on the microstructure of parts fabricated using these processes. This review then presents the latest models used in simulating different microstructural aspects of metal AM parts. In addition, the models were compared and the potential and challenges in microstructure modelling were discussed.