Fine grain associative feature reasoning in collaborative engineering

Authors:
Yong-Sheng Ma;C. H. Bong
Affiliations:
Department of Mechanical Engineering, University of Alberta, 4-9 Mechanical Engineering Building, Edmonton, Alberta T6G 2G8, Canada.;Singapore Precision Engineering and Tooling Association, 114 Balestier Road, 329679, Singapore
Venue:
International Journal of Computer Applications in Technology
Year:
2010

Citing 6
Cited 0

Spatial Reasoning for the Automatic Recognition of Machinable Features in Solid Models

IEEE Transactions on Pattern Analysis and Machine Intelligence
Associative feature modeling for concurrent engineering integration

Computers in Industry
Tracking product specification dependencies in collaborative design for conflict management

Computer-Aided Design
Ontology-based assembly design and information sharing for collaborative product development

Computer-Aided Design
Advances in collaborative CAD: the-state-of-the art

Computer-Aided Design
Semantic interoperability in building design: Methods and tools

Computer-Aided Design

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper explores the vast domain of systematic collaborative engineering with reference to product lifecycle management approach from the angle of feature-level collaboration among partners. A new method of fine grain feature association modelling and reasoning is proposed. The original contribution is on the explicit modelling and reasoning of collaborative feature relations within a dynamic context. A case study has been carried out to illustrate the interweaving feature relations in collaborative oil rig space management and the effective application of such relations modelled in design solution optimisation.