An ensemble machine-learning approach for predicting and understanding the characteristics of ball milled powders for PBF-EB process

YUNWEI GUI; Kenta Aoyagi; Akihiko Chiba

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Special Issue: Recent Advances of Materials and Technologies on Additive Manufacturing

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Recent Advances of Materials and Technologies on Additive Manufacturing

Chairperson:Zhong-Chun CHEN(Tottori University), Makoto KOBASHI(Nagoya University, Japan)

[7-4A] An ensemble machine-learning approach for predicting and understanding the characteristics of ball milled powders for PBF-EB process

〇YUNWEI GUI¹, Kenta Aoyagi², Akihiko Chiba² (1.Graduate School of Engineering,Tohoku University, 2.Institute for Materials Research,Tohoku University)

※This presenter is a candidate for the Student Award for Outstanding Presentation.

Keywords:Additive manufacturing, Machine learning, Powder characteristics, Ball milling

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