Méthode de conception d'une famille de produits basée sur une plate-forme utilisant la loi de similitude physique et son application aux climatiseurs individuels.
A platform-based product family design method using physical similarity law and its application to room air conditioners.
Numéro : 2435
Auteurs : KOBAYASHI T., HAMADA S., NAKAGAWA N., IKEDA H., HATTORI H., KODAMA T., ZHOU X., LU Y., NAGAI H.
Résumé
This paper proposes a “Platform-Based Design Method” concept using a standardized product reference architecture. Three examples cover a wide range from H/W key parts design with mechanical similarity law to standardized control S/W with reference algorithms architecture and an automatic UX design environment with machine learning. Firstly, we introduce a H/W design theory based on the similarity law of structural and fluid dynamics, using family design examples of various sizes outdoor units equipped with a new type hub less high-performance fan. A standardized heat exchanger circuit design optimization example with a robust distributor that improves the drift of liquid refrigerant is also shown. Secondly, we introduce parameter-adjustable S/W reference architecture P/F using universal 1D-lumped equation model for comfort airflow design. Third, in the scene of airflow control S/W development for indoor units, a front-loading design idea that combines thermal-fluid 2D-CFD with dimensionless numbers and reinforcement learning is proposed. The effectiveness of our auto-tuning method using Machine Learning with standardized CFD is proved through the RAC's User eXperience design.
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Détails
- Titre original : A platform-based product family design method using physical similarity law and its application to room air conditioners.
- Identifiant de la fiche : 30030727
- Langues : Anglais
- Sujet : Technologie
- Source : 2022 Purdue Conferences. 19th International Refrigeration and Air-Conditioning Conference at Purdue.
- Date d'édition : 2022
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Indexation
- Thèmes : Conditionnement d'air pour le confort
- Mots-clés : CFD; Conditionnement d'air; Conception; Apprentissage automatique; Modélisation; Optimisation
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