- Engineering Building III (EB3) 3252
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Dr. Echekki’s goal is to play an important role in the development of the next generation of combustion models. The next generation of combustion models will enable engineers to consider more daring designs in terms of the types of fuels, the range of operating conditions, the materials used, and flame stability.
At the graduate level, Dr.Echekki teaches Fluid Dynamics of Combustion I (MAE 504). This is a lecture-style course in which students, during a portion of the semester, work on projects. He also teaches Principles of Fluid Dynamics (MAE 550). This is a fundamental course with the added feature that the students in his class perform flow visualization experiments. He also teaches Turbulence (MAE 776). In his presentation of the material, there is a strong emphasis on empirically-based modeling of turbulent phenomena.
At the undergraduate level, he teaches Engineering Thermodynamics I and II (MAE 301 and MAE 302) and fluid Mechanics I (MAE 308). All of these classes are foundational. Drawing on personal experiences, he discusses new applications in combustion in the second thermodynamics course to give the students a greater appreciation of the challenges in the field and to encourage further reading.
Combustion plays an important role in the solution of many of the engineering problems that we face today. Graduate students who work with Dr. Echekki are also drawn to this area because of its breadth. The reliance of combustion on thermodynamics, heat transfer, and fluid mechanics means that itï¿½s never boring and provides a foundation from which the student can later branch out.
Outside of work, Dr. Echekki spends time with his family and friends.
Washington University, St. Louis
Dr. Echekki is currently developing multi-scale models for turbulent combustion and improving methods for direct numerical simulation of turbulent combustion. Dr. Echekki is interested in modeling and simulation of turbulent reacting flows, low-dimensional turbulent combustion models: linear-Eddy Model (LEM) and one-dimensional turbulence (ODT), direct numerical simulations, large-eddy simulations, micro-scale combustion. In MAE he works with Dr. Edwards, Dr. Lyons, and Dr. Roberts.
- An ANN based hybrid chemistry framework for complex fuels
- Ranade, R., Alqahtani, S., Farooq, A., & Echekki, T. (2019), FUEL, 241, 625–636. https://doi.org/10.1016/j.fuel.2018.12.082
- A coupled LES-ODT model for spatially-developing turbulent reacting shear layers
- Hoffie, A. F., & Echekki, T. (2018), INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 127, 458–473. https://doi.org/10.1016/j.ijheatmasstransfer.2018.06.105
- Upscaling and downscaling approaches in les-odt for turbulent combustion flows
- Fu, Y. Q., & Echekki, T. (2018), International Journal for Multiscale Computational Engineering, 16(1), 45–76.
- Particle-filter based upscaling for turbulent reacting flow simulations
- Srivastava, S., & Echekki, T. (2017), International Journal for Multiscale Computational Engineering, 15(1), 1–17.
- Thermal radiation modeling using the LES-ODT framework for turbulent combustion flows
- Ben Rejeb, S., & Echekki, T. (2017), International Journal of Heat and Mass Transfer, 104, 1300–1316.
- Toward computationally efficient combustion DNS with complex fuels via principal component transport
- Owoyele, O., & Echekki, T. (2017), Combustion Theory and Modelling, 21(4), 770–798.
- Turbulence effects on the autoignition of DME in a turbulent co-flowing jet
- Echekki, T., & Ahmed, S. F. (2017), Combustion and Flame, 178, 70–81.
- An equivalent dissipation rate model for capturing history effects in non-premixed flames
- Kundu, P., Echekki, T., Pei, Y. J., & Som, S. (2017), Combustion and Flame, 176, 202–212.
- Asymptotic analysis of steady two-reactant premixed flames using a step-function reaction rate model
- Echekki, T. (2016), Combustion and Flame, 172, 280–288.
- Autoignition of n-heptane in a turbulent co-flowing jet
- Echekki, T., & Ahmed, S. E. (2015), Combustion and Flame, 162(10), 3829–3846.
- Acquisition of a Computational Code from Sandia National Laboratories
- Sandia National Laboratories(2/15/17 - 2/15/19)
- Modelling Combustion Noise Spectrum for Lean-Burn Engines
- University Global Partnership Network (UGPN)(8/01/14 - 7/31/15)
- Multiphysics Simulation of Injection and Combustion of Supercritical Fuels
- US Air Force - Office of Scientific Research (AFOSR)(3/01/13 - 12/31/16)
- Multiscale Turbulent Reacting Flows and Data-Based Modeling
- National Science Foundation (NSF)(8/15/12 - 7/31/16)
- Computational Methods For Multiscale Turbulent Reacting Flows
- National Science Foundation (NSF)(9/01/09 - 8/31/13)
- A Multiscale Approach For Turbulence, Chemistry and Radiative Heat Transport Modeling in Combustion
- US Air Force - Office of Scientific Research (AFOSR)(6/01/09 - 11/30/11)
- Computational and Experimental Studies Turbulent PPremixed Flame Kernels
- National Science Foundation (NSF)(9/01/08 - 8/31/13)
- An Approach for the Direct Simulation of Subgrid Scale Physics in Fire Simulations
- NCSU NC Space Grant Consortium(7/01/07 - 6/30/09)
- Acquisition of a Workstation for Serial Computation of Turbulent Reacting Flows
- US Air Force (USAF)(11/30/-1 - 6/14/06)