• Friday, May 12, 2017 - 02:00
  • University of Trieste, Aula A (Giorgieri) Edificio C7 (ex-Macchine)
  • Europe

Seminar "Data-driven Design Decision Support for Welded Assembly"

ESTECO Academy proudly presents the seminar "Data-driven Design Decision Support for Welded Assembly", organized by the University of Trieste, Faculty of Engineering and Architecture, to be held in Trieste on Friday, May 12th at 9.30 AM.

Dr. Kyoung-Yun Kim, associate professor in the Department of Industrial and Systems Engineering at Wayne State University, where he directs the Computational Intelligence and Design Informatics (CInDI) Laboratory, will introduce the participants into the current trends in data-driven approaches and ongoing efforts to integrate design, data, and decision support in the domain of the welded assembly design.

The seminar will illustrate the following:

  • predictive modeling and design decision support methods with resistance spot welding quality data with highly-variable challenges
  • research directions to systematically build optimization models to support welded assembly design

The seminar is open both to students and researchers of University of Trieste, as well as to external visitors with free admission upon registration.

During the past decade, a significant effort has been undertaken in utilizing manufacturing process data to support decision making in engineering design. The manufacturing process data can play a significant role in the prediction of manufacturability and in defect detection.

The recent data-driven approaches range from using simple statistics from the historical data to building prediction models. Utilizing historical data can provide various opportunities for manufacturing processes. Also, it often results in increased engineering efficiency by reducing manual analysis and physical testing conducted by subject matter experts. However, the manufacturing process data has not been well integrated with design data models, and further in a more adaptable and machine interpretable manner to support a proper design decision.

In this talk, the current trends in data-driven approaches and ongoing efforts to integrate design, data, and decision support in the domain of the welded assembly design. The presented data-driven framework shows predictive modeling and design decision support methods with resistance spot welding quality data with highly-variable challenges. This talk will also cover the research directions to systematically build optimization models to support welded assembly design. 

Aula A (Giorgieri) Edificio C7 (ex-Macchine)

   
09:30 - 09:45 AM Introduction to the seminar by prof. Carlo Poloni 
09:45 - 10:45 AM Kyoung-Yun Kim : "Data-driven Design Decision Support for Welded Assembly"

 

 

 

Admission is free and open to all.
 

Kyoung-Yun Kim 

Site Director, USA NSF I/UCRC Center for e-Design | Director, Computational Intelligence and Design Informatics (CInDI) Lab. | Associate Professor, Department of Industrial and Systems Engineering

Wayne State University | Detroit, MI USA

Dr. Kyoung-Yun Kim is an associate professor in the Department of Industrial and Systems Engineering at Wayne State University, where he directs the Computational Intelligence and Design Informatics (CInDI) Laboratory. Dr. Kim’s research focuses on Design Science; Design Informatics; Design Awareness on Manufacturing Processes; Semantic Assembly Design; and Product Life-cycle Modeling. Dr. Kim has received external funding from several U.S. federal agencies including NSF, DMDII, NIDRR, VA-CASE, DOD, and DOE, the Korean Ministry of Knowledge Economy, and various industries. Currently, Dr. Kim is a Site Director for the NSF Industry and University Cooperative Research Center (I/UCRC) for e-Design. Dr. Kim is an Associate Editor of Journal of Integrated Design and Process Science.  Dr. Kim received top cited article award (2005-2010) from Journal CAD and 2003 IIE Transactions Best Paper Award. Dr. Kim was a visiting professor at Kyung Hee University, South Korea, 2014. Dr. Kim’s education includes a Ph.D. in Industrial Engineering from University of Pittsburgh, and a B.S. and M.S. in Industrial Engineering from Chonbuk National University, South Korea. Dr. Kim is a member of IIE, ASME, SDPS, and ASEE.