Fukushima Naoya

フクシマナオヤ | Fukushima Naoya

Affiliation and department：
Job title： Junior Associate Professor
Homepage URL (1)： https://www.u-tokai.ac.jp/staff/detail/ODUyMTQw/MzA4NTg2

Research field (2)： Thermal engineering , Fluid engineering

Research keywords (5)：乱流燃焼 , 数値流体力学 , 直接数値計算 , 熱流体工学 , 乱流

Research theme for competitive and other funds (13)：

2021 - 2026 Creation and implementation of an innovative flow control paradigm utilizing machine learning
2022 - 2025 乱流階層構造に基づく格子幅自己認識型モデルの開発
2020 - 2023 Development of Modeling and Multi-Physics Predicition Methods for Particulate Deposition in Jet Engine
2018 - 2021 Construction of feature extraction method for turbulence big data by machine learning
2016 - 2019 Traveling wave like control in turbulent boundary layer flow for relaminarization phenomenon and simultaneous achievement of skin-friction drag reduction and heat transfer enhancement

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Papers (151)：

Y. Shimoda, N. Fukushima. REDUCED ORDER MODEL OF UNSTEADY FLOW USING CNN AND LSTM. Proceedings of The 7th International Conference on Jets, Wakes and Separated Flows. 2022
Y. Shimoda, N. Fukushima. Prediction of Unsteady Flow using Autoencoder Network with Convolutional LSTM. Proceedings of The 32nd International Symposium on Transport Phenomena. 2022
Y. Shimoda, T. Matsumori, K. Sato, T. Hirano, N. Fukushima. Estimation of Turbulent Flow from Wall Information via Machine Learning. Proceedings of The International Conference on Computational & Experimental Engineering and Sciences. 2021
Hiroya Mamori, Koji Fukudome, Kohei Ogino, Naoya Fukushima, Makoto Yamamoto. Heat transfer enhancement and torque reduction by traveling wave-like blowing and suction in turbulent taylor-couette flow. Journal of Thermal Science and Technology. 2021. 16. 1. 1-15
D. Toba, K. Fukudome, H. Mamori, N. Fukushima, M. Yamamoto. Proposal of Novel Icing Simulation Using a Hybrid Grid- And Particle-Based Method. Journal of Mechanics. 2020. 36. 5. 699-706

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MISC (166)：

下田瑶祐, 福島直哉. 畳み込み LSTM を用いた深層学習による非定常流れの予測. 日本流体力学会年会 2021 講演論文集. 2021
SHIMODA Yosuke, FUKUSHIMA Naoya. Convolutional Neural Network based Prediction of Turbulent Channel Flow from Cross-Section Information. The Proceedings of the Fluids engineering conference. 2021. 2021. OS02-18
藤原裕夢, 水野裕介, 山下璃良威, 高橋俊, 福島直哉. 埋め込み境界法を用いた鈍頭物体まわりの極超音速流れ解析. 第33回数値流体力学シンポジウム講演論文集. 2019
浦内捷, 福留功二, 守裕也, 福島直哉, 山本誠. 表面加熱をしたNACA0012 翼の防氷性能に関する数値的調査. 第32回数値流体力学シンポジウム講演論文集. 2018
山本大智, 福留功二, 守裕也, 福島直哉, 山本誠, 坂本まい, 大庭芳則. 格子ボルツマン法による遷音速ファンの流れ場の数値シミュレーション. 第32回数値流体力学シンポジウム講演論文集. 2018

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Books (2)：

Lectures and oral presentations (163)：

畳み込み LSTM を用いた深層学習による非定常流れの予測
(日本流体力学会年会 2021 講演論文集 2021)
Convolutional Neural Network based Prediction of Turbulent Channel Flow from Cross-Section Information
(The Proceedings of the Fluids engineering conference 2021)
埋め込み境界法を用いた鈍頭物体まわりの極超音速流れ解析
(第33回数値流体力学シンポジウム講演論文集 2019)
格子ボルツマン法による遷音速ファンの流れ場の数値シミュレーション
(第32回数値流体力学シンポジウム講演論文集 2018)
表面加熱をしたNACA0012 翼の防氷性能に関する数値的調査
(第32回数値流体力学シンポジウム講演論文集 2018)

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Education (5)：

2001 - 2009 東京大学大学院工学系研究科機械工学専攻博士課程
1999 - 2001 東京大学大学院工学系研究科機械工学専攻修士課程
- 2001 The University of Tokyo Graduate School, Division of Engineering
1997 - 1999 The University of Tokyo The Faculty of Engineering Department of Engineering Synthesis
- 1999 The University of Tokyo Faculty of Engineering

Professional career (1)：

Work history (8)：

2022/04 - 現在 Tokai University School of Engineering Department of Mechanical Engineering
2017/04 - 2022/03 Tokai University School of Engineering, Department of Prime Mover Engineering
2016/01 - 2017/03 Tokyo University of Science Mechanical Engineering, Faculty of Engineering
2013/12 - 2015/12 東京大学大学院工学系研究科附属エネルギー・資源フロンティアセンター特任助教
2010/04 - 2014/03 Meiji University School of Science and Technology, Department of Mechanical Engineering

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Awards (4)：

Association Membership(s) (4)：

COMBUSTION SOCIETY OF JAPAN , THE JAPAN SOCIETY OF FLUID MECHANICS , 日本伝熱学会 , 日本機械学会

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