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|Title:||Rapid prototyping of cloud data by segmentation||Authors:||Liu, G.H.
Rapid product development
|Issue Date:||2004||Citation:||Liu, G.H.,Loh, H.T.,Wong, Y.S.,Zhang, Y.F. (2004). Rapid prototyping of cloud data by segmentation. ICMA 2004 - Proceedings of the International Conference on Manufacturing Automation: Advanced Design and Manufacturing in Global Competition : 513-520. ScholarBank@NUS Repository.||Abstract:||Modeling random cloud data for the rapid prototyping of complex surface products is a hot research topic in recent years. Conventional approaches focus on creating an STL file from the cloud data directly or by reconstructing a surface model. These approaches are time-consuming and many expert modeling skills are usually required. In this paper, we propose an innovative modeling method to convert a point cloud into a layer-based RP model through an error-based segmentation process. Two segmentation schemes, i.e. uniform segmentation and adaptive segmentation are presented. The generated RP model can be served as a direct input to the RP machine for fabrication. In this process, neither a surface model nor an STL file is generated. Three case studies are presented to illustrate the efficacy of the approach. © Professional Engineering Publishing 2004.||Source Title:||ICMA 2004 - Proceedings of the International Conference on Manufacturing Automation: Advanced Design and Manufacturing in Global Competition||URI:||http://scholarbank.nus.edu.sg/handle/10635/73796||ISBN:||1860584683|
|Appears in Collections:||Staff Publications|
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