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Proceedings of CAD'17, 2017, 445-450
Validation of Feature Recognition on Manufacturability Analysis for Additive Manufacturing

Yang Shi, Ramy Harik, McNair Center, University of South Carolina
Yicha Zhang, LS2N, Ecole Centrale de Nantes,
Steven Baek, University of Iowa

Abstract. By using binding materials in a layer by layer approach, the additive manufacturing (AM) process is useful for testing and prototyping or obtaining end-use products. This breakthrough in manufacturing technology makes the fabrication of complex shapes and intricate geometrical features possible and has the potential to significantly simplify the production of complex solid models directly from CAD data. It provides designers not only the freedom to their unruly imagination, but it also allows distributed and decentralized manufacturing and it is easier than tradition manufacturing to be run. Therefore, AM technology is introduced to various fields such as industrial, scientific, education, medical, archaeological, artistic or daily use. However, although AM expands the design space compared with conventional manufacturing, it does not remove all manufacturing restrictions. Designers might be unaware of specific manufacturing restrictions or rules of AM processes, which sometimes would cause ‘non-manufacturable’ designs. This is a popular problem, which can be time-consuming and therefore costly, especially in cases where the designs were accomplished without professional design-for-additive-manufacturing training.

Keywords. Manufacturability Analysis, Feature Recognition, Heat Kernel Signature

DOI: 10.14733/cadconfP.2017.445-450