3 papers
cond-mat.mtrl-sci2020
Uncertainty Quantification and Composition Optimization for Alloy Additive Manufacturing Through a CALPHAD-based ICME Framework
Xin Wang, Wei Xiong
During powder production, the pre-alloyed powder composition often deviates from the target composition leading to undesirable properties of additive manufacturing (AM) components.…
cond-mat.mtrl-sci2020
Stacking fault energy prediction for austenitic steels: thermodynamic modeling vs. machine learning
Xin Wang, Wei Xiong
Stacking fault energy (SFE) is of the most critical microstructure attribute for controlling the deformation mechanism and optimizing mechanical properties of austenitic steels, wh…
cond-mat.mtrl-sci2019
Post-Heat Treatment Design of High-Strength Low-Alloy Steels Processed by Laser Powder Bed Fusion
Soumya Sridar, Yunhao Zhao, Kun Li +2
In this study, a post-heat treatment design for additively manufactured copper-bearing high-strength low-alloy (HSLA)-100 steel is performed by understanding the process-structure-…