Density gradient
Jet fluid (passive scalar)
LES of jet mixing
in supersonic crossflows
Kawai & Lele, AIAA J. 2010
Center for Next Generation Aircraft Research
Society for high Reynolds number aerodynamics
Welcome to Kawai-Asada Laboratory
Welcome to Kawai Laboratory (Aerodynamic Design Research Group) at the Department of Aerospace Engineering, Tohoku University.
Our research draws from theoretical analysis, computational physics, data science, and high-performance computing to develop novel high-fidelity numerical simulation techniques for uncovering the fundamental flow physics underlying complex compressible, multi-scale and, multi-physics flows in aerospace engineering and also for developing next-generation aircraft aerodynamic design tools. Our research interests broadly include in the fields of fluid mechanics, with an emphasis on compressible flow, turbulence, shock waves, mixing and combustion, high-fidelity numerical methods, physical modeling, machine learning, uncertainty quantification, and other related topics in the aerospace engineering. Details of the on-going and past research topics are in Research.
Our group is also working on MEXT Program for Promoting Researches on the Supercomputer Fugaku, Research toward DX in aircraft development led by digital flight. Using the supercomputer Fugaku, this research demonstrates the aircraft digital flight using high-fidelity simulation and data-driven science. In collaboration with the Mitsubishi Heavy Industries Group, we also promote innovative DX in the future aircraft design process and apply the results of this research to a wide range of industrial products.
Compressible flow physics and computational engineering in the Kawai Laboratory
Welcome to Kawai Laboratory (Aerodynamic Design Research Group) at the Department of Aerospace Engineering, Tohoku University.
Our research draws from theoretical analysis, computational physics, data science, and high-performance computing to develop novel high-fidelity numerical simulation techniques for uncovering the fundamental flow physics underlying complex compressible, multi-scale and, multi-physics flows in aerospace engineering and also for developing next-generation aircraft aerodynamic design tools. Our research interests broadly include in the fields of fluid mechanics, with an emphasis on compressible flow, turbulence, shock waves, mixing and combustion, high-fidelity numerical methods, physical modeling, machine learning, uncertainty quantification, and other related topics in the aerospace engineering. Details of the on-going and past research topics are in Research.
Our group is also working on MEXT Program for Promoting Researches on the Supercomputer Fugaku, Research toward DX in aircraft development led by digital flight. Using the supercomputer Fugaku, this research demonstrates the aircraft digital flight using high-fidelity simulation and data-driven science. In collaboration with the Mitsubishi Heavy Industries Group, we also promote innovative DX in the future aircraft design process and apply the results of this research to a wide range of industrial products.
Compressible flow physics and computational engineering in the Kawai Laboratory
What's New
| 2025.03.27 |
 |
Congratulations to Hattori for receiving the Next Generation Researcher Award at the Symposium of the MEXT Program for Promoting Researches on the Supercomputer Fugaku! |
| 2025.03.25 |
 |
Congratulations to Sashida for receiving the Graduate School of Engineering Dean's Award! |
| 2025.03.25 |
Congratulations! Seven students completed the master's course, and five completed the bachelor's. | |
| 2025.03.17 |
 |
Following the 2nd Workshop in 2022, Kawai gave a talk at the 3rd Workshop on Data-Driven Fluid Dynamics. |
| 2025.03.07 |
 |
The workshop on large-scale complex systems and dynamic reduced modeling was held in Sendai, Japan, jointly with Prof. Nakao's laboratory at Tokyo University of Science and Prof. Kawahara's laboratory at Osaka University, aiming at extending the reduced modeling to large-scale nonlinear complex flow data. |
| 2025.03.03 |
 |
Check out our new paper, Logarithmic mean approximation in improving entropy conservation in KEEP scheme with pressure equilibrium preservation property for compressible flows published in Journal of Computational Physics. We derived an approximation that improves entropy conservation in the KEEP schemes and satisfies pressure equilibrium. |