Type
Conference PaperKAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionVisual Computing Center (VCC)
Date
2016-04-11Online Publication Date
2016-04-11Print Publication Date
2015-08Permanent link to this record
http://hdl.handle.net/10754/621368
Metadata
Show full item recordAbstract
Nowadays, increasing amount of parts and sub-assemblies are publicly available, which can be used directly for product development instead of creating from scratch. In this paper, we propose an interactive design framework for efficient and smart assembly modeling, in order to improve the design efficiency. Our approach is based on a probabilistic reasoning. Given a collection of industrial assemblies, we learn a probabilistic graphical model from the relationships between the parts of assemblies. Then in the modeling stage, this probabilistic model is used to suggest the most likely used parts compatible with the current assembly. Finally, the parts are assembled under certain geometric constraints. We demonstrate the effectiveness of our framework through a variety of assembly models produced by our prototype system. © 2015 IEEE.Citation
Zhang K-K, Hu K-M, Yin L-C, Yan D-M, Wang B (2015) CAD Parts-Based Assembly Modeling by Probabilistic Reasoning. 2015 14th International Conference on Computer-Aided Design and Computer Graphics (CAD/Graphics). Available: http://dx.doi.org/10.1109/CADGRAPHICS.2015.29.Sponsors
61372168, NSFC; 61373071, NSFCJournal
2015 14th International Conference on Computer-Aided Design and Computer Graphics (CAD/Graphics)Conference/Event name
14th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2015ae974a485f413a2113503eed53cd6c53
10.1109/CADGRAPHICS.2015.29