Events

Thursday, Oct 19, 2017 - 3:30pm - Allen 14
CAM seminar
Optimization and Monitoring of Laser-Based Additive Manufacturing: Framework, Challenges, and Solutions.
Dr. Linkan Bian, Industrial System Engineering,Msstate

Title:  Optimization and Monitoring of Laser-Based Additive Manufacturing: Framework, Challenges, and Some Solutions.
Abstract:  The additive manufacturing (AM) process has the potential to propel the United States to a position of world-wide leadership in the production and repair of complex/precious part which will impact automotive, aerospace, biomedical, and other major industries. However, the highly dynamic thermo-physical transitions during the fabrication making it difficult to identify the operational conditions that result in targeted physical and mechanical properties. This variability and the associated uncertainty associated with AM processes leads to inadvertent and inevitable process anomalies (e.g., defects and porosity), causing fabricated parts lack of satisfactory quality to meet the requirements of industrial applications. We propose a theoretical framework to characterize the parameter-process-property relationships of AM, using a combined experimental and analytical approach. By optimizing the process parameters and characterizing in-situ process signals, we have demonstrated that our approach allows for the efficient fabrication full-dense parts with desired geometric accuracy and mechanical properties. Future work aims at transforming the AM procedure to a 'hands-off' operation governed by in-situ diagnostics and control which provides for customized parts for targeted applications.

Biography: Linkan Bian is an assistant professor in Industrial and Systems Engineering Department at Mississippi State University. He received his Ph.D. in Industrial and Systems Engineering from Georgia Institute of Technology in 2013 and a B.S. degree in Applied Mathematics from Beijing University. Dr. Bian research interests focus on the development of advanced data analytic methods for modeling and optimization of complex engineering systems. Applications of his research include additive manufacturing and supply chains. He has received federal funding from NSF, DoD, and DoE, as well as industrial companies. Dr. Bian's publications have appeared in journals such as IISE Transactions, Additive Manufacturing, Rapid Prototyping, IEEE Transactions, and other journals. Dr. Bian also received the Outstanding Young Investigator Award from IISE Manufacturing and Design subdivision.

Link: http://cam.math.msstate.edu/sem20171019LB.html

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