Multi-Disciplinary Optimization of Complex Electronic Products Based on Ontology Model
In traditional optimization design process, each function is regarded as independence, so independent axiom is often used to deal with multi-disciplinary collaboration optimization problems. However, in real multi-disciplinary collaboration optimization process, the design purpose and function requirement among each individual have potential relation. This paper studies the compartmentalizing, abstracting and building method of product optimization meta according to the characteristics of optimization process and information interaction of complex electronic products, and builds multi-disciplinary collaboration optimization semantic model (MCOSM) by combining optimization meta with multi-disciplinary optimization process of complex electronic products. Optimal design theory framework and methodology are proposed based on MCOSM of complex electronic products. Finally, cooling plate of airborne radar is taken as an object to design framework of integrated optimization system and the feasibility of the framework are demonstrated by optimization results.
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Document Type: Research Article
Publication date: 2012-03-01
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