2023 Fiscal Year Final Research Report
Development of mathematical model of network-type convective heat transfer system derived from human circulatory system
| Project/Area Number |
21H01262
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Review Section |
Basic Section 19020:Thermal engineering-related
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| Research Institution | Kyoto University |
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Principal Investigator |
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| Project Period (FY) |
2021-04-01 – 2024-03-31
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| Keywords | サーモリフレクタンスイメージング / ナノワイヤネットワーク / マイクロ流路 / 電流と接点抵抗 / 粒子流れ / 沸騰 / 確率論 |
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| Outline of Final Research Achievements |
We developed a nanoscale temperature measurement technique based on thermo-reflectance imaging, and combined this technique with numerical calculations to successfully obtain the current path and contact resistance distribution, as well as the heat generation, temperature, and heat transfer characteristics of nanowire-networks. Mathematical models based on probability theory were developed for the distribution and overall characteristics of electric current and heat transfer. The effects of clogging and boiling in the network-type channel on the flow structure, pressure drop, and heat transfer characteristics were investigated. We applied the finding and models obtained from these measurements and simulations to the flow and transport characteristics of the human vascular system, and are working to elucidate the vascular pattern and heat transfer characteristics.
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| Free Research Field |
熱工学
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| Academic Significance and Societal Importance of the Research Achievements |
本研究課題では熱機器における伝熱・流れの現象を考えるときに決定論的解法に確率論的「事象」と「ゆらぎ」の概念を加えることで，空間および時間軸にわたり現象の理解と解析の精度を高めている．電子デバイスで用いられるナノワイヤネットワークの電流・温度・接点抵抗・伝熱の分布の計測に成功し，電流・熱の経路の生成の特性解明と数理モデルの開発を行った．また，マイクロ流路での確率事象である流路閉塞や沸騰を伴う場合の流動・伝熱の時間発展特性を調べ，確率論に基づく解法と大きく異なることを示し，決定論と確率論の連成解析が必要であることを示した．これらの知見と技術をもとにヒト血管流れでの解析とモデル化を進めている．
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