九州大学-研究者情報 [梅原裕太郎 (助教) 工学研究院機械工学部門]

梅原裕太郎（うめはらゆうたろう）

データ更新日：2023.07.19

助教　／　工学研究院機械工学部門熱工学講座

原著論文

1.	Yutaro UMEHARA, Tomio OKAWA, Phenomenological modeling of quenching during falling liquid film cooling of high-temperature wall, Applied Thermal Engineering, 10.1016/j.applthermaleng.2023.120210, 2023.05.
2.	梅原裕太郎、大川富雄、榎木光治 , 急冷処理用冷却材としてのナノ流体の有効性評価, 2019.07, [URL].
3.	Yutaro UMEHARA, Tomio OKAWA, Role of nanoparticle layer in determining minimum heat flux temperature during quenching of high-temperature body, Mechanical Engineering Journal, 10.1299/mej.20-00527, 8, 4, 20-00527, 2021.03.
4.	Tomio Okawa, Keisuke Yamagata, Yutaro Umehara, Measurement of heat transfer coefficient profile during quenching of a vertical hot wall with a falling liquid film, NUCLEAR ENGINEERING AND DESIGN, 10.1016/j.nucengdes.2020.110629, 363, 2020.07.
5.	Yutaro Umehara, Keisuke Yamagata, Tomio Okawa, Spatial distribution of heat transfer coefficient in the vicinity of wetting front during falling liquid film cooling of a vertical hot wall, INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 10.1016/j.ijheatmasstransfer.2021.122422, 185, 2022.04, Spatial distribution of the heat transfer coefficient (HTC) in the vicinity of the wetting front is of crucial importance in predicting the wetting velocity during liquid film cooling of a high-temperature solid surface. However, mainly due to the lack of experimental data, no sufficiently reliable model has been developed so far for the HTC distribution in this fundamental thermal-hydraulic situation. In the present work, experiments using a high-speed infra-red camera were carried out to measure the transient of wall temperature distribution during wetting of a high-temperature vertical wall with a falling liquid film. Based on the HTC distributions calculated from the measured temperature data, dimensionless correlations were developed for the HTC distribution near the wetting front. It was confirmed that the propagation velocities of the wetting front (wetting velocity) calculated using the proposed correlations agree with the experimental data accumulated in this work well. (c) 2021 Elsevier Ltd. All rights reserved..

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pure2017年10月2日から、「九州大学研究者情報」を補完するデータベースとして、Elsevier社の「Pure」による研究業績の公開を開始しました。

　

　

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