Development of Impinging-Jet Heat Transfer Coefficient Model for A Particle-Based Thermal-Fluid Analysis
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- SATO Jun’ichi
- MEIDENSHA CORPORATION
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- SHIMURA Hiroki
- Department of Mechanical Engineering, Graduate School of Engineering, Tokyo University of Science
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- FUKUDOME Koji
- Department of Mechanical Engineering, Faculty of Engineering, Tokyo University of Science
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- EJIRI Mitsuyoshi
- MEIDENSHA CORPORATION
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- YAMAMOTO Makoto
- Department of Mechanical Engineering, Faculty of Engineering, Tokyo University of Science
Bibliographic Information
- Other Title
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- 粒子法熱流体解析のための衝突噴流熱伝達率モデルの開発
Abstract
<p>In the viewpoint of design efficiency in the development of an oil jet-cooling electric vehicle motor, the simulation technology of the particle-based method, which is suitable for free-surface flows with moving walls, is desired. However, it is not so easy to simulate the heat transfer with high accuracy and short computing time, so that it is especially difficult to apply it to impinging-jet cooling engineering design. Therefore, in the present study, a heat transfer model for an impinging jet flow is developed, based on the flow field obtained with the particle-based method. The analogy between the heat and momentum transfers is assumed in the model, and the impinging jet velocity, and the characteristic length scales of Reynolds and Nusselt numbers in the stagnation region. The model is constructed through comparing with the impinging jet flow experimental correlation expression formula. The model validity by comparing with the oil-cooling rotor experimental results is confirmed. It is found that the model-implemented simulations agree well with the correlation expression formula and the experimental results.</p>
Journal
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- Transactions of the Japan Society for Computational Engineering and Science
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Transactions of the Japan Society for Computational Engineering and Science 2021 (0), 20210012-20210012, 2021-08-19
JAPAN SOCIETY FOR COMPUTATIONAL ENGINEERING AND SCIENCE
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Details 詳細情報について
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- CRID
- 1390289088758159872
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- NII Article ID
- 130008076043
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- ISSN
- 13478826
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed