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Design Science Journal
Papers

KNOWLEDGE CONFIGURATION MANAGEMENT FOR PRODUCT DESIGN AND NUMERICAL SIMULATION

KNOWLEDGE CONFIGURATION MANAGEMENT FOR PRODUCT DESIGN AND NUMERICAL SIMULATION

Year: 2011

Section: Design Information and Knowledge Management

Editor: Culley, S.J.; Hicks, B.J.; McAloone, T.C.; Howard, T.J. & Chen, W.

Author: Badin, Julien (1); Chamoret, Dominique (1); Gomes, Samuel (1); Monticolo, Davy (2)

Section: Design Information and Knowledge Management

Pages: 161-172

Abstract

We focus on industrial design and simulation processes especially in automotive and aerospace areas. Designers use engineering models such as CAD (Computed Aided Design) and CAE (Computed Aided Engineering) models to optimize and streamline the engineering process. Each expert model is driven by parameters, expert rules, mathematic relations which are shared by several users and in several different domains (mechanical, thermal, acoustic, fluid, etc) and exploited at the same time in a concurrent engineering context. It is the basis of an imperfect collaboration process due to the fact that existing tools do not manage encapsulated knowledge well and are unable to ensure that parameters and rules are consistent (same value of parameters for example) throughout different heterogeneous expert models.

In this context, we propose an approach to manage knowledge using configurations synchronized with expert models which enable designers to use parameters consistently in a collaborative context. Our approach is called *KCModel (Knowledge Configuration Model): it allows capitalization, Traceability, re-use and consistency of explicit knowledge used in configuration.*

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