CAD Parts-Based Assembly Modeling by Probabilistic Reasoning

Handle URI:
http://hdl.handle.net/10754/621368
Title:
CAD Parts-Based Assembly Modeling by Probabilistic Reasoning
Authors:
Zhang, Kai-Ke; Hu, Kai-Mo; Yin, Li-Cheng; Yan, Dongming ( 0000-0003-2209-2404 ) ; Wang, Bin
Abstract:
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.
KAUST Department:
Visual Computing Center (VCC)
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.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
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 2015
Issue Date:
11-Apr-2016
DOI:
10.1109/CADGRAPHICS.2015.29
Type:
Conference Paper
Sponsors:
61372168, NSFC; 61373071, NSFC
Appears in Collections:
Conference Papers; Visual Computing Center (VCC)

Full metadata record

DC FieldValue Language
dc.contributor.authorZhang, Kai-Keen
dc.contributor.authorHu, Kai-Moen
dc.contributor.authorYin, Li-Chengen
dc.contributor.authorYan, Dongmingen
dc.contributor.authorWang, Binen
dc.date.accessioned2016-11-03T06:58:40Z-
dc.date.available2016-11-03T06:58:40Z-
dc.date.issued2016-04-11en
dc.identifier.citationZhang 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.en
dc.identifier.doi10.1109/CADGRAPHICS.2015.29en
dc.identifier.urihttp://hdl.handle.net/10754/621368-
dc.description.abstractNowadays, 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.en
dc.description.sponsorship61372168, NSFC; 61373071, NSFCen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectAssembly modelingen
dc.titleCAD Parts-Based Assembly Modeling by Probabilistic Reasoningen
dc.typeConference Paperen
dc.contributor.departmentVisual Computing Center (VCC)en
dc.identifier.journal2015 14th International Conference on Computer-Aided Design and Computer Graphics (CAD/Graphics)en
dc.conference.date26 August 2015 through 28 August 2015en
dc.conference.name14th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2015en
dc.contributor.institutionSchool of Software, Tsinghua University, Beijing, Chinaen
dc.contributor.institutionTsinghua National Laboratory for Information Science and Technology, Beijing, Chinaen
dc.contributor.institutionNational Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, Chinaen
kaust.authorYan, Dongmingen
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