Portrait of Wenjia Wang

Wenjia Wang
Assistant Professor
Organizations
College of Engineering
Email
wenjia.wang@oregonstate.edu
Office Phone
(541) 737-8436
Address

114 Richardson Hall
Corvallis, OR 97331
United States

Research Website
Personal Webpage
Degrees
Ph.D. in Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 2022
M.S. in Theoretical and Applied Mechanics, Northwestern University, Evanston, IL, 2018
B.E. in Composite Materials and Engineering, Harbin Institute of Technology, Harbin, China, 2017
Research Groups
Advanced Manufacturing
Biography

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

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.

Selected Publications

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
Additional Links
LinkedIn
Google Scholar
ResearchGate