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 profile (the university's T2R2) and research web.

Turbulent skin friction drag reduction
Experimental apparatus
Direct numerical simulations of turbulent reacting flows
Direct numerical simulations of non-reacting turbulent flows
Laser measurements of turbulent fields
The 9th U.S. National Combustion Meeting(Our visualization received a Honorable Mention)

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.

  • Naoko Kawamura (Secretary)

Students

The students in the lab and their research keywords

Tanahashi Group

  • Defne Kiran (D3)
    turbulent combustion, direct numerical simulation, investigation
  • Ye Wang (D1)
    turbulent combustion, direct numerical simulation, investigation
  • Ryoichi Urasaki (M2)
    turbulent combustion, direct numerical simulation, investigation
  • Kohei Sakai (M2)
    turbulent combustion, direct numerical simulation, investigation
  • Yousuke Tomisawa (M1)
    turbulent combustion, direct numerical simulation, investigation
  • Hironobu Minami (M1)
    turbulent combustion, direct numerical simulation, machine learning, modelling
  • Ryuta Miyashita (M1)
    turbulent combustion, laser diagnostics, investigation
  • Masato Sakurai (M1)
    turbulent combustion, direct numerical simulation, investigation
  • Sibo Huang (M1)
    turbulent combustion, laser diagnostics, investigation
  • Takuki Kaminaga (U)
    flame propagation, direct numerical simulation, machine learning, modelling
  • Akihiro Taniguchi (U)
    turbulent combustion, laser diagnostics, investigation
  • Souichi Amemiya (U)
    turbulent combustion, laser diagnostics, investigation

Shimura Group

  • Kensuke Satou (M2)
    turbulent combustion, CFD, modelling
  • Hiroki Hattori (M2)
    turbulent combustion, laser diagnostics, investigation
  • Jin Huang (M2)
    turbulent combustion, laser diagnostics, investigation
  • Hiroki Kosuda (M1)
    turbulent combustion, laser diagnostics, investigation
  • Ryota Matsushima (M1)
    turbulent combustion, laser diagnostics, investigation
  • Sota Natsume (U)
    turbulent combustion, laser diagnostics, plasma control, investigation
  • Kentaro Hayashi (U)
    turbulent combustion, laser diagnostics, plasma control, investigation

Minamoto Group

  • Wataru Nakagome (M2)
    turbulent combustion, direct numerical simulation, machine learning, modelling
  • Kherlen Jigjid (M2)
    turbulent combustion, direct numerical simulation, machine learning, modelling
  • Asahi Abekawa (M1)
    turbulence, direct numerical simulation, machine learning, modelling, ML platform
  • Touta Kobayashi (U)
    turbulence, turbulent combustion, direct numerical simulation, machine learning, investigation
  • Jun Hira (U)
    turbulence, direct numerical simulation, CFD, machine learning, modelling, ML platform
Interaction between the groups in the laboratory

Publications

List of laboratory-wide publications in the recent years. For publications of each faculty staff in the lab, please refer to profile (the university's T2R2) and research web.

*A name with under line: laboratory member;   shading: faculty member.

    2021

  1. 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, in press (2021).
  2. R. Nakazawa, Y. Minamoto, N. Inoue, M. Tanahashi, Species reaction rate modelling based on physics-guided machine learning, Combustion and Flame, in press (2021).
  3. 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).
  4. K. Osawa, Y. Minamoto, M. Shimura, M. Tanahashi, Voronoi analysis of vortex clustering in homogeneous isotropic turbulence, Physics of Fluids, 33, 035138 (2021).
  5. 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).
  6. 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).
  7. 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).
  8. 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).
  9. 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).
  10. 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).
  11. 2020

  12. 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).
  13. 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).
  14. K. Narukawa, Y. Minamoto, M. Shimura, M. Tanahashi, Near-wall flame propagation behaviour with and without surface reactions, Fuel, 268, 117216 (2020).
  15. 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).
  16. 2019

  17. 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).
  18. 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).
  19. 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).
  20. 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).
  21. 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).
  22. 2018

  23. 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).
  24. K. Osawa, J. Jiménez, Intense structures of different momentum fluxes in turbulent channels, Physical Review Fluids, 3 (8), 084603 (2018).
  25. 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).
  26. 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).
  27. Y. Minamoto, B. Yenerdag, M. Tanahashi, Morphology and structure of hydrogen-air turbulent premixed flames, Combustion and Flame, 192, 369-383 (2018).
  28. N. A. K. Doan, N. Swaminathan, Y. Minamoto, DNS of MILD combustion with mixture fraction variations, Combustion and Flame, 189, 173-189 (2018).
  29. 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).
  30. 2017

  31. 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).
  32. 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).
  33. 2016

  34. 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).
  35. 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).
  36. 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).
  37. 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).
  38. 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).
  39. Y. Minamoto, Jacqueline H. Chen, DNS of a turbulent lifted DME jet flame, Combustion and Flame, 169, 38-50 (2016).

Access

Postal address: Room 209, 2nd floor, #1 Ishikawadai bldg., 2-12-1 Ookayama, Meguro, Tokyo, 152-8550, Japan

Access: O-okayama station (Tokyu Meguro line and Oimachi line) is the nearest station (Access/Map)