Not Accepting New Students
Wenjia Wang
114 Richardson Hall
Corvallis, OR 97331
United States
About
Biography
Wenjia is actively looking for Postdoc, PhD, MS, undergraduate research assistants with a background in solid mechanics, machine learning, robotics, bio-composites, wood composites, 3D printing, CAD.
Degrees
Awards/Accolades
Documents
Research
Research Interests
3D printing of renewable materials; Artificial Intelligence and Machine Learning in advanced manufacturing; Digital Twin; Process modeling and optimization; Metal additive manufacturing; Physics-based Numerical and analytical modeling; Mechanical behavior of composites.
Research Groups
Research Website
Labs
Publications
Wang, Wenjia, and Steven Y. Liang. "Physics-based analytical modeling of keyhole mode in laser powder bed fusion." The International Journal of Advanced Manufacturing Technology (2022): 1-10.
Wang, Wenjia, and Steven Y. Liang. "Physics-based analytical modeling of keyhole mode in laser powder bed fusion." The International Journal of Advanced Manufacturing Technology (2022): 1-10.
Wang, Wenjia, and Steven Y. Liang. "A 3D analytical modeling method for keyhole porosity prediction in laser powder bed fusion." The International Journal of Advanced Manufacturing Technology 120.5-6 (2022): 3017-3025.
Wang, Wenjia, Jinqiang Ning, and Steven Y. Liang. "Prediction of lack-of-fusion porosity in laser powder-bed fusion considering boundary conditions and sensitivity to laser power absorption." The International Journal of Advanced Manufacturing Technology 112 (2021): 61-70.
Wang, Wenjia, Jinqiang Ning, and Steven Y. Liang. "In-situ distortion prediction in metal additive manufacturing considering boundary conditions." International Journal of Precision Engineering and Manufacturing 22 (2021): 909-917.