Wenzhen Huang

faculty

Wenzhen Huang, PhD

Professor


508-910-6568

sdq]jc<qi]oo`*a`q

Science & Engineering 116C

Education

2004University of WisconsinPhD in Industrial Engineering
1987Shanghai Jiatong UniversityPhD
1984Julin UniversityMS
1982Julin UniversityBS

Teaching

Programs

Teaching

Courses

Prerequisite: Graduate standing; approval by advisor, graduate program director and department chairperson. Experiential learning in conjunction with an industrial or governmental agency project under the joint supervision of an outside sponsor and a faculty advisor. To be eligible, a student should have completed at least half of his/her program of study. A detailed project proposal must be prepared by the student for departmental approval prior to the start of the project. Upon completion, student must submit a report on the experience and make a short presentation to his/her graduate committee. This course may be used to satisfy one 3-credit graduate technical elective course.

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.

The need and subject matter of research. Laws, truths, analogy and hypothesis. Identifying and clustering parameters. Use of models. Experimental setup. Induction, deduction, statistics, and conclusions. Presentation and use of finding.

Project research in conjunction with industry under a faculty advisor. A formal report must be submitted to fulfill the course requirements.

Project research in conjunction with industry under a faculty advisor. A formal report must be submitted to fulfill the course requirements.

Research

Research awards

  • $ 31,911 awarded by University of Delaware for National Institute for Innovation in Manufacturing Biopharmaceuticals

Research

Research interests

  • Computer Aided Tolerance Analysis and Optimization (NSF & UMASSD Chancellor's Fund)
  • Diagnostics in Manufacturing (ATP/NIST)
  • MEMS and NANOManufacturing
  • Modeling, Simulation, and Optimization of Manufacturing Systems (ATP/NIST)
  • Quality Engineering and Applied Statistics

Select publications

  • W. Huang, B. R. Konda, Z. Kong (2010).
    "Geometric Tolerance Simulation Model for Rectangular and Circular Planar Features"
    Trans. NAMRI/SME
  • 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.