[Iefac.list] IISE CIS Webinar - New Formulation and Methodologies for Model Based Design - March 15

[Du, Dongping]

The IISE CIS division would like to invite you to attend our Spring webinar at 2pm on March 15. Please find the webinar abstract and presenter's bio below. If interested, please register using the following link.
https://goto.webcasts.com/starthere.jsp?ei=1180438&tp_key=479ac5fdef

NEW FORMULATION AND METHODOLOGIES FOR MODEL BASED DESIGN
Thursday, March 15, 2 p.m. Eastern time | Register now
Presenter:  Zhimin Xi, Ph.D., Assistant professor, Rutgers University
To date, engineering product design relies significantly on computer simulation models, e.g., finite element analysis (FEA), to predict product performance of interest given a set of design configurations. Model prediction could be problematic without referring to the corresponding test data because all models are built to approximate the real physical systems with some assumptions and simplifications. The deficiency of this model based (or assisted) design is mainly attributed to three reasons: 1) model prediction error is not quantitatively assessable at specific new design configurations; 2) a calibration model typically neglects model bias which is the inherent model inadequacy for representing the real physical system due to the model assumption and simplification; and 3) tuned or calibrated model parameters may deviate from their true values and thus cause worse model accuracy at new design configurations. The objective of this research is to propose new formulations and methodologies for model based design to quantify and reduce model errors in engineering product design, and ultimately make virtual design certification feasible. Case studies for different engineering products design will be presented to demonstrate the proposed work.
Dr. Zhimin Xi is an assistant professor in the Department of Industrial and Systems Engineering at the Rutgers University, New Brunswick. He received his bachelor's and master's degrees in mechanical engineering at the University of Science and Technology Beijing in 2001 and 2004, respectively. He obtained his doctorate in reliability engineering at the University of Maryland - College Park in 2010. His research interests include reliability and safety for energy storage systems, design for resilient systems, prognostics and health management for engineering systems, model validation under uncertainty, and system reliability and quality analysis. He has published more than 50 papers in prestigious journals and peer-reviewed conference proceedings. He is the recipient of 2016 DARPA (Defense Advanced Research Projects Agency) Young Faculty Award. He is the winners of multiple (including twice Top 10) Best Paper Awards from ASME, Design Automation Conference in 2008, 2011, 2013, and 2015 respectively. He received research support from National Science Foundation, DARPA, Department of Energy, Ford Motor Company, Denso North American Foundation and The Woodbridge Group.

Thank you.

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Dongping Du, Ph.D.
Assistant Professor
Department of Industrial, Manufacturing and Systems Engineering
Texas Tech University
PO Box 43061
Lubbock, TX  79409
Tel: 806-834-7388
E-mail: dongping.du at ttu.edu<mailto:dongping.du at ttu.edu>

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