activity
20112021
most citedStrain Engineering Water Transport in Graphene Nano-channels

133 citations · 470 across the 11 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cond-mat.mtrl-sci2020★ 19 cited

Cyclic Re-austenitization of Copper-bearing High-Strength Low-Alloy Steels Fabricated by Laser Powder Bed Fusion

Soumya Sridar, Yunhao Zhao, Wei Xiong

For the first time, cyclic re-austenitization is carried out for additively manufactured high-strength low-alloy (HSLA) steels in order to refine the microstructure by reducing the…

cond-mat.mtrl-sci2020★ 34 cited

Phase Transformations During Continuous Cooling in Inconel 718 Alloys Manufactured by Laser Powder Bed Fusion and Suction Casting

Yunhao Zhao, Liangyan Hao, Qiaofu Zhang +1

Understanding alloy phase transformations during continuous cooling is important for post-processing design and optimization. In this work, continuous-cooling-transformation (CCT)…

cond-mat.mtrl-sci2020★ 56 cited

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★ 34 cited

A new high-throughput method using additive manufacturing for alloy design and heat treatment optimization

Yunhao Zhao, Noah Sargent, Kun Li +1

Many alloys made by Additive Manufacturing (AM) require careful design of post-heat treatment as an indispensable step of microstructure engineering to further enhance the performa…

cond-mat.mtrl-sci2020★ 113 cited

A Comparative Analysis of Inconel 718 Made by Additive Manufacturing and Suction Casting: Microstructure Evolution in Homogenization

Yunhao Zhao, Kun Li, Matthew Gargani +1

Homogenization is one of the critical stages in the post-heat treatment of additive manufacturing (AM) component to achieve uniform microstructure. During homogenization, grain coa…

cond-mat.mtrl-sci2020★ 48 cited

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…