Machine Learning Customized Novel Material for Energy‐Efficient 4D Printing

Machine Learning Customized Novel Material for Energy‐Efficient 4D Printing

Abstract Existing commercial powders for laser additive manufacturing (LAM) are designed for traditional manufacturing methods requiring post heat treatments (PHT). LAM's unique cyclic thermal history induces intrinsic heat treatment (IHT) on materials during deposition, which offers an opportu...

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Bibliographic Details
Main Authors: Chaolin Tan, Qian Li, Xiling Yao, Lequn Chen, Jinlong Su, Fern Lan Ng, Yuchan Liu, Tao Yang, Youxiang Chew, Chain Tsuan Liu, Tarasankar DebRoy
Format: Article
Language:English
Published: Wiley 2023-04-01
Series:Advanced Science
Subjects:
4D printing
additive manufacturing
green metals
intrinsic heat treatment
machine Learning
new materials
Online Access:https://doi.org/10.1002/advs.202206607

Internet

https://doi.org/10.1002/advs.202206607

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