Title: Fine grain associative feature reasoning in collaborative engineering

Authors: Yong-Sheng Ma, C.H. Bong

Addresses: 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

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.

Keywords: fine-grain associations; feature-based collaboration; collaborative engineering; CADCAM; intelligent design; associative feature reasoning; product lifecycle management; PLM; modelling; oil rig space management; oil rigs.

DOI: 10.1504/IJCAT.2010.031937

International Journal of Computer Applications in Technology, 2010 Vol.37 No.3/4, pp.210 - 217

Available online: 03 Mar 2010 *

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