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Knowledge management for collaborative design and multi-physical optimization of mechatronic systems

Abstract : Mechatronic products are complex and multidisciplinary in nature. The requirements to design them are often contradictory and must be validated by the various disciplinary engineering (DE) teams. To address this complexity and reduce design time, disciplinary engineers need to collaborate dynamically, resolve interdisciplinary conflicts, and reuse knowledge from previous projects. In addition, they need to work seamlessly with the Systems Engineering (SE) team to have direct access to requirements and the Multidisciplinary Design Optimization (MDO) team for global validation. We propose to use Knowledge Management techniques to structure the knowledge generated during collaboration activities and harmonize the overall design cycle. Our primary contribution is a unification approach, elaborating how SE, DE, and MDO complement each-other and can be used in synergy for an integrated and continuous design cycle. Our methodology centralizes the product knowledge necessary for collaboration. It ensures traceability of the exchange between disciplinary engineers using graph theory. This formalized process knowledge facilitates MDO problem definition.
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  • HAL Id : tel-02463955, version 1

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Mehdi Mcharek. Knowledge management for collaborative design and multi-physical optimization of mechatronic systems. Mechanical engineering [physics.class-ph]. Université Paris Saclay (COmUE), 2018. English. ⟨NNT : 2018SACLC098⟩. ⟨tel-02463955⟩

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