Wenzhen Huang, PhD
Professor / Chairperson
Science & Engineering 116C
|2004||University of Wisconsin||PhD in Industrial Engineering|
|1987||Shanghai Jiatong University||PhD|
- Engineering and Applied Science PhD
- Industrial and Systems Engineering Graduate Certificate
- Manufacturing Concentration
- Mechanical Engineering BS, BS/MS
- Mechanical Engineering MS
Principles and procedures necessary to control processes and quality of manufactured products. Topics include: product quality, quality assurance, destructive and non-destructive tests, statistical methods in quality control, acceptance sampling, rectifying inspection, sensors, automated inspection, control charts, total quality control, quality circle, quality philosophy of Deming, Taguchi, and others.
- $ 31,911.00 National Institute for Innovation in Manufacturing Biopharmaceuticals
W. Huang, B. R. Konda, Z. Kong (2010).
"Geometric Tolerance Simulation Model for Rectangular and Circular Planar Features"
W. Huang, Z. Kong, A. Chennamaraju (2010).
"Fixture Robust Design by Sequential Space Filling Methods in Multi-Station Manufacturing Systems"
ASME Trans. Journal of Computing & Information Science in Engineering (JCISE)
W. Huang, Z. Kong (2009).
"Process Capability Sensitivity Analysis for Design Evaluation of Multi-Station Assembly Systems"
IEEE Trans., Special Issue on Advances in Automation Science and Engineering for Automotive Manufacturing
Wenzhen Huang obtained his Ph.D. in Industrial Engineering from The University of Wisconsin-Madison in 2004 and worked as postdoctoral research fellow at UW-Madison. He also worked as a professor of Mechanical Engineering at Shanghai Jiaotong University, China, for about 5 years.
Professor Huang's interests are in product and manufacturing process modeling, simulation, design analysis and optimization, and diagnosis for variation reduction and quality improvement. Specific topics in his recent and current research include streams of variation modeling and analysis (SOVA) in multi-stage manufacturing systems, compliant assembly process, GD&T modeling and simulation, statistical tolerance analysis and synthesis, probabilistic design and optimization, metrology and sensor system, and statistical signal processing for diagnosis and quality control. The application area covers automotive, fuel cell, MEMS,aerospace, shipbuilding, power industries, and general mechanical products and manufacturing systems design. His research has been and is supported by ATP/NIST, NSF, and UMASSD Chancellor's Fund.