Wang, Wenjia
Position Type:
Faculty
Job Title:
Assistant Professor
Department:
Wood Science & Engineering
Office Location:
114 Richardson Hall
Phone Number:
Email:
Advising:
Graduate Major Advisor
Website:
Other Websites:
Education
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 Areas
Advanced Manufacturing
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:
- 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. "Prediction of molten pool height, contact angle, and balling occurrence in laser powder bed fusion." The International Journal of Advanced Manufacturing Technology 119.9-10 (2022): 6193-6202.
- 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.
For a full list of publications, visit: