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Keywords: data-driven material design
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Proceedings Papers

Additively Manufactured NiTiHf Shape Memory Alloy Transformation Temperature Evaluation by Radial Basis Function and Perceptron Neural Networks

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Hossein Abedi, Mohammadjavad Abdollahzadeh, Abdalmageed Almotari, Majed Ali, Shiva Mohajerani, Mohammad Elahinia, Ala Qattawi
Proc. ASME. MSEC2023, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T01A004, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-101325
https://doi.org/10.1115/MSEC2023-101325
...) are developed to predict the TTs of LPBF-manufactured NiTiHf. The models successfully predict the TTs for various NiTiHf fabrication conditions. data-driven material design laser powder bed fusion NiTiHf shape memory alloys transformation temperatures machine learning additive manufacturing...
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Topics: Additive manufacturing, Artificial neural networks, Design, Lasers, Machine learning, Shape memory alloys, Temperature