Rongxuan (Raphael) Wang

Assistant Professor

Dr. Wang’s academic journey includes a bachelor’s degree in mechanical engineering from Purdue University (2015), a master’s degree in industrial and systems engineering from Virginia Tech (2019), and a doctoral degree in industrial and systems engineering from Virginia Tech (May 2023). Motivated by a desire to broaden his understanding beyond machine mechanics, he chose industrial and systems engineering to gain a comprehensive system-level perspective.

His current research focuses on advanced sensing, instrumentation, data analytics, and control in advanced manufacturing. Dr. Wang’s outstanding contributions have earned him several accolades, including the IISE Manufacturing and Design Division Best Student Paper Award (2023) and the IISE Data Analytics and Information Systems Division Mobile/Web App Competition (2023). Notably, he received the Robert J. Lyman Award from the Precast/Prestressed Concrete Institute in 2022, recognizing his significant contribution to the advancement of general constructions. Dr. Wang has also been honored with prestigious scholarships, including the Gilbreth Memorial Fellowship from IISE and Alpha Pi Mu National Scholarships.

Major Publications:

In situ investigation into temperature evolution and heat generation during additive friction stir deposition: A comparative study of Cu and Al-Mg-Si

D Garcia, WD Hartley, HA Rauch, RJ Griffiths, R Wang, ZJ Kong, Y Zhu, …

Additive Manufacturing 34, 101386

Development of structured light 3D-scanner with high spatial resolution and its applications for additive manufacturing quality assurance

R Wang, AC Law, D Garcia, S Yang, Z Kong

The International Journal of Advanced Manufacturing Technology 117 

Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach

C Liu, RR Wang, I Ho, ZJ Kong, C Williams, S Babu, C Joslin

Journal of Intelligent Manufacturing 34 (6), 2673-2689

Real-time process monitoring and closed-loop control on laser power via a customized laser powder bed fusion platform

R Wang, B Standfield, C Dou, AC Law, ZJ Kong

Additive Manufacturing 66, 103449

In situ melt pool measurements for laser powder bed fusion using multi sensing and correlation analysis

Rongxuan Wang, David Garcia, Rakesh R Kamath, Chaoran Dou, Xiaohan Ma, Bo Shen, Hahn Choo, Kamel Fezzaa, Hang Z Yu, Zhenyu Kong

Scientific reports 12 (1), 13716

Sub-surface thermal measurement in additive manufacturing via machine learning-enabled high-resolution fiber optic sensing

R Wang, R Wang, C Dou, S Yang, R Gnanasambandam, A Wang, Z Kong

Nature Communications 15 (1), 7568