Tokyo Institute of Technology
Reactive Gas Dynamics Laboratory
Research activities
We are trying to reveal underlying physics of turbulence and turbulent reacting flows by using cutting-edge measurement techniques and high-performance computing. For more information of research activities, please refer to each faculty staff's
Members
Staffs
Replace [at] with ＠ in the email addresses below. All staffs are members of Mechanical Engineering Major and Energy Science and Engineering Major in the Department of Mechanical Engineering, School of Engineering.
- Professor Mamoru Tanahashi Professor, PhD, tanahashi.m.aa[at]m.titech.ac.jp T2R2 Turbulence / Turbulent heat and mass transfer and turbulent combustion / Aero and power gas turbine engine combustors / Investigation and control of turbulent combustion phenomena in internal combustion engines
- Dr. Masayasu Shimura Associate Professor, PhD, shimura.m.aa[at]m.titech.ac.jp T2R2 Investigation, modelling and plasma control of turbulence and turbulent combustion in aero and power gas turbine engines and internal combustion engine, using laser diagnostics and computation.
- Yuki Minamoto Assistant Professor (tenure track), PhD, Cantab, minamoto.y.aa[at]m.titech.ac.jp Personal website / Google Scholar / GitHub / T2R2 Direct numerical simulations of turbulent reacting flows and investigation to obtain physical insights. Conventional and data-driven physical modelling for non-linear phenomena based on large-scale numerical simulation database. Development of machine learning platform for quantitative prediction of physical phenomena.
- Yutaka Hashizume Research staff
- Naoko Kawamura Secretary
Students
The students in the lab and their research keywords
Tanahashi Group
- Ye Wang (D2)
turbulent combustion, direct numerical simulation, investigation - Ye Wang (D1)
turbulent combustion, direct numerical simulation, investigation - Ryuta Miyashita (M2)
turbulent combustion, laser diagnostics, investigation - Hironobu Minami (M2)
turbulent combustion, direct numerical simulation, machine learning, modelling - Yousuke Tomisawa (M2)
turbulent combustion, direct numerical simulation, investigation - Masato Sakurai (M2)
turbulent combustion, direct numerical simulation, investigation - Takuki Kaminaga (M1)
flame propagation, direct numerical simulation, machine learning, modelling - Akihiro Taniguchi (M1)
turbulent combustion, laser diagnostics, investigation - Souichi Amemiya (M1)
turbulent combustion, laser diagnostics, investigation - Tatsuhiro Miwa (U)
turbulent combustion, laser diagnostics, investigation - Shutaro Nakao (U)
CFD, turbulent combustion, investigation - Yuki Tochinai (U)
turbulent combustion, laser diagnostics, investigation
Shimura Group
- Ryota Matsushima (M2)
turbulent combustion, laser diagnostics, investigation - Sibo Huang (M2)
turbulent combustion, laser diagnostics, investigation - Kentaro Hayashi (M1)
turbulent combustion, laser diagnostics, plasma control, investigation - Keisuke Sumitomo (M1)
turbulent combustion, direct numerical simulation, diagnostics, plasma control, investigation - Terui Saida (M1)
turbulent combustion, laser diagnostics, plasma control, investigation - Tokutaro Yamaguchi (U)
turbulent combustion, laser diagnostics, plasma control, investigation - Akihiro Nakano (U)
turbulent combustion, direct numerical simulation, plasma control, investigation
Minamoto Group
- Asahi Abekawa (M2)
turbulence, direct numerical simulation, machine learning, modelling, ML platform - Touta Kobayashi (M1)
turbulence, turbulent combustion, direct numerical simulation, machine learning, investigation - Jun Hira (M1)
turbulence, direct numerical simulation, CFD, machine learning, modelling, ML platform - Hiroatsu Kato (M1)
turbulence, direct numerical simulation, CFD, machine learning, modelling, ML platform - Haruya Shimamoto (U)
turbulent combustion, direct numerical simulation, machine learning - Koki Matsumoto (U)
turbulent combustion, direct numerical simulation, machine learning
Publications
List of laboratory-wide publications in the recent years. For publications of each faculty staff in the lab, please refer to
.*A name with under line: laboratory member/student; shading:
.- A. Haridas, N. R. Vadlamani, Y. Minamoto, Deep neural networks to correct sub-precision errors in CFD, App. Energy Combust. Sci., 12, 100081 (2022).
- K. Jigjid, Y. Minamoto, N. A. K. Doan, M. Tanahashi, SGS Reaction rate modelling for MILD combustion based on machine-learning combustion mode classification: Development and a priori study, Proceedings of Combustion Institute, in press (2022).
- Y. Minamoto, K. Jigjid, R. Igari, M. Tanahashi, Effect of flame-flame interaction on scalar PDF in turbulent premixed flames, Combustion and Flame, in press (2021).
- R. Nakazawa, Y. Minamoto, N. Inoue, M. Tanahashi, Species reaction rate modelling based on physics-guided machine learning, Combustion and Flame, 235, 111696 (2021).
- H. Shehab, H. Watanabe, Y. Minamoto, R. Kurose, T. Kitagawa, Morphology and Structure of Spherically Propagating Premixed Turbulent Hydrogen--Air Flames, Combustion and Flame, 238, 111888 (2021).
- A. Fuse, R. Yamada, Y. Minamoto, M. Shimura, M. Tanahashi, A derivation of temperature-based energy equation for LES of isochoric turbulent combustion with FDSGS model, Combustion Theory and Modelling, 25:7, 1324-1351 (2021).
- K. Osawa, Y. Minamoto, M. Shimura, M. Tanahashi, Voronoi analysis of vortex clustering in homogeneous isotropic turbulence, Physics of Fluids, 33, 035138 (2021).
- K. Jigjid, C. Tamaoki, Y. Minamoto, R. Nakazawa, N. Inoue, M. Tanahashi, Corrigendum to "Data driven analysis and prediction of MILD combustion mode", Combustion and Flame, 227, 481-482 (2021).
- K. Jigjid, C. Tamaoki, Y. Minamoto, R. Nakazawa, N. Inoue, M. Tanahashi, Data driven analysis and prediction of MILD combustion mode, Combustion and Flame, 223, 475-485 (2021). (Open Access).
- Z. M. Nikolaou, C. Chrysostomou, Y. Minamoto, L. Vervisch, Evaluation of a Neural Network-Based Closure for the Unresolved Stresses in Turbulent Premixed V-Flames, Flow, Turbulence and Combustion, 106, 331-356 (2021).
- M. Matsuda, T. Yokomori, M. Shimura, Y. Minamoto, M. Tanahashi, N. Iida, Development of cycle-to-cycle variation of the tumble flow motion in a cylinder of an SI IC engine with Miller cycle, International Journal of Engine Research, 22 (5) 1512-1524 (2021).
- Y. Minamoto, Y. Kondo, K. Osawa, Y. Harada, M. Shimura, M. Tanahashi, Effects of low-temperature chemistry on the wall heat flux in HCCI combustion, Proceedings of Combustion Institute, 38 (4) 5519-5527 (2021).
- N. A. K. Doan, S. Bansude, K. Osawa, Y. Minamoto, T. Lu, J. H. Chen, N. Swaminathan, Identification of combustion mode under MILD conditions using Chemical Explosive Mode Analysis, Proceedings of Combustion Institute, 38 (4) 5415-5422 (2021).
- Y. Atagi, M. Shimura, M. Tanahashi, Simultaneous OH PLIF/Chemiluminescence and stereoscopic PIV measurements of combustion oscillation onset in turbulent swirling lean premixed flames, Journal of Thermal Science and Technology, 16 (1) (2020).
- J.-H. Park, Y. Minamoto, M. Shimura, M. Tanahashi, Effects of hydrogen enrichment on CH4/air turbulent swirling premixed flames in a cuboid combustor, International Journal of Hydrogen Energy, 45 (15) 9039-9051 (2020).
- K. Narukawa, Y. Minamoto, M. Shimura, M. Tanahashi, Near-wall flame propagation behaviour with and without surface reactions, Fuel, 268, 117216 (2020).
- K. Aoki, M. Shimura, J.-H. Park, Y. Minamoto, M. Tanahashi, Response of heat release rate to flame straining in swirling hydrogen-air premixed flames, Flow, Turbulence and Combustion, 104, 451-478 (2020).
- D. M. Manias, E.-A. Tingas, Y. Minamoto, H. G. Im, Topological and chemical characteristics of turbulent flames at MILD conditions, Combustion and Flame, 208, 86-98 (2019).
- Y. Minamoto, M. Tanahashi, Effect of turbulent motions at different length scales on turbulent premixed swirl-stabilised flame topology, International Journal of Hydrogen Energy, 44 (39) 22316-22327 (2019).
- Z. M. Nikolaou, Y. Minamoto, L. Vervisch, Unresolved stress tensor modelling in turbulent premixed V-flames using iterative deconvolution: An a priori assessment, Physical Review Fluids, 4 (6), 063202 (2019).
- M. Shimura, S. Yoshida, K. Osawa, Y. Minamoto, T. Yokomori, K. Iwamoto, M. Tanahashi, H. Kosaka, Micro particle image velocimetry investigation of near-wall behaviors of tumble enhanced flow in an internal combustion engine, International Journal of Engine Research, COMODIA2017 Special Issue, 20 (7) 718-725 (2019).
- D.-H. Shin, E. S. Richardson, V. Aparace-Scutariu, Y. Minamoto, J. Chen, Fluid age-based analysis of a lifted turbulent DME jet flame DNS, Proceedings of Combustion Institute, 37, 2215-2222 (2019).
- N.A.K. Doan, N. Swaminathan, P.A. Davidson, M. Tanahashi, Scale locality of the energy cascade using real space quantities, Physical Review Fluids, 3, 084601 (2018).
- K. Osawa, J. Jiménez, Intense structures of different momentum fluxes in turbulent channels, Physical Review Fluids, 3 (8), 084603 (2018).
- T. Itoh, Y. Naka, Y. Minamoto, M. Shimura, M. Tanahashi, Large-scale clustering of coherent fine-scale eddies in a turbulent mixing layer, International Journal of Heat and Fluid Flow, 72, 100-108 (2018).
- G. Ghiasi, N. A. K. Doan, N. Swaminathan, B. Yenerdag, Y. Minamoto, M. Tanahashi, Assessment of SGS closure for isochoric combustion of hydrogen-air mixture, International Journal of Hydrogen Energy, 43 (16) 8105-8115 (2018).
- Y. Minamoto, B. Yenerdag, M. Tanahashi, Morphology and structure of hydrogen-air turbulent premixed flames, Combustion and Flame, 192, 369-383 (2018).
- N. A. K. Doan, N. Swaminathan, Y. Minamoto, DNS of MILD combustion with mixture fraction variations, Combustion and Flame, 189, 173-189 (2018).
- N. Saito, Y. Minamoto, B. Yenerdag, M. Shimura, M. Tanahashi, Effects of turbulence on ignition of methane–air and n-heptane–air fully premixed mixtures, Combustion Science and Technology, 190 (3) 451-469 (2018).
- M. Tanahashi, M. Shimura, Y. Minamoto, Progress in DNS and Laser Diagnostics of Turbulence and Turbulent Combustion, Thermal Science and Engineering, 25 (3) 27-43 (2017).
- B. Yenerdag, Y. Minamoto, M. Shimura, Y. Nada, M. Tanahashi, Flame-wall interactions of lean premixed flames under elevated, rising pressure conditions, Fuel, 189, 8-14 (2017).
- K. Osawa, Y. Naka, N. Fukushima, M. Shimura, M. Tanahashi, T. Miyauchi, Effect of Flow Structures on Turbulence Statistics of Taylor-Couette Flow in the Torque Transition State, Flow, Turbulence and Combustion, 97 (4), 973-986 (2016).
- K. Hiraoka, Y. Naka, M. Shimura, Y. Minamoto, N. Fukushima, M. Tanahashi, T. Miyauchi, Evaluations of SGS Combustion, Scalar Flux and Stress Models in a Turbulent Jet Premixed Flame, Flow Turbulence and Combustion, 97 (4) 1147-1164 (2016).
- K. Hiraoka, Y. Minamoto, M. Shimura, Y. Naka, N. Fukushima, M. Tanahashi, A Fractal Dynamic SGS Combustion Model for Large Eddy Simulation of Turbulent Premixed Flames, Combustion Science and Technology, 188 (9) 1472-1495 (2016).
- Y. Gao, Y. Minamoto, M. Tanahashi, N. Chakraborty, A priori assessment of scalar dissipation rate closure for Large Eddy Simulations of turbulent premixed combustion using a detailed chemistry Direct Numerical Simulation database, Combustion Science and Technology, 188 (9) 1398-1423 (2016).
- B. Yenerdag, Y. Minamoto, Y. Naka, M. Shimura, M. Tanahashi, Flame propagation and heat transfer characteristics of a hydrogen--air premixed flame in a constant volume vessel, International Journal of Hydrogen Energy, 41 (22) 9679-9689 (2016).
- Y. Minamoto, Jacqueline H. Chen, DNS of a turbulent lifted DME jet flame, Combustion and Flame, 169, 38-50 (2016).
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Access
Postal address: Room 209, 2nd floor, #1 Ishikawadai bldg., 2-12-1 Ookayama, Meguro, Tokyo, 152-8550, Japan
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