Microstructure modelling for metallic additive manufacturing: a review

Swee Leong Sing, Wai Yee Yeong, Heang Kuan Joel Tan
2019-10-23

SCID:  54.1/yuvvzj4q
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.
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2019-10-23
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Swee Leong Sing
Wai Yee Yeong
Heang Kuan Joel Tan
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