Woodruff School of Mechanical Engineering



Supporting Structure Aware Optimization for Additive Manufacturing


Prof. Charlie Wang


Delft University of Technology


Friday, August 19, 2016 at 11:00:00 AM


MRDC Building, Room 4211


Yan Wang


In layer-based additive manufacturing (AM), supporting structures need to be inserted to support the overhanging regions. The adding of supporting structures slows down the speed of fabrication and introduces artifacts onto the finished surface. To reduce these influences, two techniques will be presented in this talk: shape optimization and printing direction optimization. In the first technique, an orientation-driven shape optimizer is investigated to slim down the supporting structures used in single material-based AM. The optimizer can be employed as a tool to help designers to optimize the original model to achieve a more self-supported shape, which can be used as a reference for their further design. In the second technique, an optimal printing direction is searched to avoid placing supports in perceptually significant regions. Our model for preference in 3D printing direction is formulated as a combination of metrics including area of support, visual saliency, preferred viewpoint and smoothness preservation. A training-and-learning methodology is developed to obtain a closed-form solution for our perceptual model and perform a large-scale study.


Charlie C.L. Wang is currently a Professor and Chair of Advanced Manufacturing in the Department of Design Engineering at Delft University of Technology, The Netherlands. Prior to this position, he was a Professor of Mechanical and Automation Engineering at the Chinese University of Hong Kong, where he started his academic career in 2003. He received a BEng degree (1998) in mechatronics engineering from Huazhong University of Science and Technology, Wuhan, China. He received his MPhil (2000) and PhD (2002) degrees in mechanical engineering from Hong Kong University of Science and Technology. Prof. Wang is a Fellow of American Society of Mechanical Engineers (ASME) and his research interests include geometric computing, computer-aided design, advanced manufacturing and computational physics. Charlie received a few awards from professional societies including the ASME CIE Young Engineer Award (2009), the Best Paper Awards of ASME CIE Conferences (in 2008 and 2001), the Prakash Krishnaswami CAPPD Best Paper Award of ASME CIE Conference in 2011, the NAMRI/SME Outstanding Paper Award in 2013, and the Best Paper Award of Computational Visual Media journal in 2015. He serves on the editorial board of a few journals including Computer-Aided Design, IEEE Transactions on Automation Science and Engineering, ASME Journal of Computing and Information Science in Engineering, and International Journal of Precision Engineering and Manufacturing.


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