A platform-based product family design method using physical similarity law and its application to room air conditioners.
Number: 2435
Author(s) : KOBAYASHI T., HAMADA S., NAKAGAWA N., IKEDA H., HATTORI H., KODAMA T., ZHOU X., LU Y., NAGAI H.
Summary
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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- Original title: A platform-based product family design method using physical similarity law and its application to room air conditioners.
- Record ID : 30030727
- Languages: English
- Subject: Technology
- Source: 2022 Purdue Conferences. 19th International Refrigeration and Air-Conditioning Conference at Purdue.
- Publication date: 2022
Links
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Indexing
- Themes: Comfort air conditioning
- Keywords: CFD; Air conditioning; Design; Machine learning; Modelling; Optimization
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- Author(s) : CHENG H., MU W., CHENG Y., CHEN H., XING L.
- Date : 2023/08/21
- Languages : English
- Source: Proceedings of the 26th IIR International Congress of Refrigeration: Paris , France, August 21-25, 2023.
- Formats : PDF
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Adaptive reinforcement learning PI controllers ...
- Author(s) : DING T. L., NORRIS S., SUBIANTORO A.
- Date : 2022/07/10
- Languages : English
- Source: 2022 Purdue Conferences. 19th International Refrigeration and Air-Conditioning Conference at Purdue.
- Formats : PDF
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Informed machine learning to develop a reduced ...
- Author(s) : YOUSAF S., BRADSHAW C. R., KAMALAPURKAR R., SAN O.
- Date : 2022
- Languages : English
- Source: 2022 Purdue Conferences. 19th International Refrigeration and Air-Conditioning Conference at Purdue.
- Formats : PDF
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Application of machine learning classification ...
- Author(s) : EBRAHIMIFAKHAR A., YUILL D., KABIRIKOPAEI A.
- Date : 2021/05
- Languages : English
- Source: 2021 Purdue Conferences. 18th International Refrigeration and Air-Conditioning Conference at Purdue.
- Formats : PDF
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Investigation of VRF System under Cooling Mode ...
- Author(s) : WAN H., CAO T., HWANG Y., BAE H., OH S.
- Date : 2021/08/31
- Languages : English
- Source: 13th IEA Heat Pump Conference 2021: Heat Pumps – Mission for the Green World. Conference proceedings [full papers]
- Formats : PDF
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