Stathis Tingas

stathis tingas

Dr Stathis Tingas

Lecturer in Mathematics

Biography

Dr Stathis Tingas received a first degree (BScH) in Aeronautical Science from the Hellenic Air Force Academy in Greece in 2005 and a MSc and a PhD in Mechanics from the National Technical University of Athens in Greece in 2012 and 2016, respectively. Before his current appointment, he was an Aircraft Engineer with specialty in jet engines at the Hellenic Air Force (2005-2016), a postdoctoral research associate at KAUST (2016-2019) and a Lecturer in Engineering and Aviation at Perth College UHI (2019-2020).

Date


26 results

Computational Singular Perturbation Method and Tangential Stretching Rate Analysis of Large Scale Simulations of Reactive Flows: Feature Tracking, Time Scale Characterization, and Cause/Effect Identification. Part 1, Basic Concepts

Book Chapter
Valorani, M., Creta, F., Ciottoli, P. P., Malpica Galassi, R., Goussis, D. A., Najm, H. N., …Grenga, T. (2020)
Computational Singular Perturbation Method and Tangential Stretching Rate Analysis of Large Scale Simulations of Reactive Flows: Feature Tracking, Time Scale Characterization, and Cause/Effect Identification. Part 1, Basic Concepts. In H. Pitsch, & A. Attili (Eds.), Data Analysis for Direct Numerical Simulations of Turbulent Combustion (43-64). Springer. https://doi.org/10.1007/978-3-030-44718-2_3
This chapter provides a review of the basic ideas at the core of the Computational Singular Perturbation (CSP) method and the Tangential Stretching Rate (TSR) analysis. It inc...

Computational Singular Perturbation Method and Tangential Stretching Rate Analysis of Large Scale Simulations of Reactive Flows: Feature Tracking, Time Scale Characterization, and Cause/Effect Identification. Part 2, Analyses of Ignition Systems, Laminar and Turbulent Flames

Book Chapter
Valorani, M., Creta, F., Ciottoli, P. P., Malpica Galassi, R., Goussis, D. A., Najm, H. N., …Grenga, T. (2020)
Computational Singular Perturbation Method and Tangential Stretching Rate Analysis of Large Scale Simulations of Reactive Flows: Feature Tracking, Time Scale Characterization, and Cause/Effect Identification. Part 2, Analyses of Ignition Systems, Laminar and Turbulent Flames. In A. Attili, & H. Pitsch (Eds.), Data Analysis for Direct Numerical Simulations of Turbulent Combustion: From Equation-Based Analysis to Machine Learning (65-88). Springer. https://doi.org/10.1007/978-3-030-44718-2_4
Chapter 3 summarized the highlights of the concepts behind the CSP method and the TSR analysis. In this chapter, we will discuss a few applications of these techniques.

Screening gas‐phase chemical kinetic models: Collision limit compliance and ultrafast timescales

Journal Article
Yalamanchi, K. K., Tingas, E., Im, H. G., & Sarathy, S. M. (in press)
Screening gas‐phase chemical kinetic models: Collision limit compliance and ultrafast timescales. International Journal of Chemical Kinetics, https://doi.org/10.1002/kin.21373
Detailed gas‐phase chemical kinetic models are widely used in combustion research, and many new mechanisms for different fuels and reacting conditions are developed each year....

DNS of Lean Hydrogen Turbulent Premixed Flames at High Karlovitz Number Conditions

Conference Proceeding
Song, W., Hernandez Perez, F., Tingas, A., & Im, H. G. (2020)
DNS of Lean Hydrogen Turbulent Premixed Flames at High Karlovitz Number Conditions. In AIAA Scitech 2020 Forum. https://doi.org/10.2514/6.2020-0917
To investigate the turbulent flame speed at high Karlovitz number (Ka) conditions, high fidelity direct numerical simulations (DNS) of lean hydrogen/air premixed flames propagati...

Computational investigation of rod-stabilized laminar premixed hydrogen–methane–air flames

Conference Proceeding
Hernandez Perez, F. E., Im, H. G., & Tingas, A. E. (2020)
Computational investigation of rod-stabilized laminar premixed hydrogen–methane–air flames. In AIAA Scitech 2020 Forum. https://doi.org/10.2514/6.2020-1659
A computational study of steady, rod-stabilized, inverted, lean, CH4-air and H2-CH4-air flames is conducted. For the CH4-air flames, either decreasing the inlet equivalence ra...

Computational singular perturbation analysis of brain lactate metabolism

Journal Article
Patsatzis, D. G., Tingas, E., Goussis, D. A., & Sarathy, S. M. (2019)
Computational singular perturbation analysis of brain lactate metabolism. PLOS ONE, 14(12), https://doi.org/10.1371/journal.pone.0226094
Lactate in the brain is considered an important fuel and signalling molecule for neuronal activity, especially during neuronal activation. Whether lactate is shuttled from ast...

Algorithmic Analysis of Chemical Dynamics of the Autoignition of NH3–H2O2/Air Mixtures

Journal Article
Khalil, A. T., Manias, D. M., Tingas, E., Kyritsis, D. C., & Goussis, D. A. (2019)
Algorithmic Analysis of Chemical Dynamics of the Autoignition of NH3–H2O2/Air Mixtures. Energies, 12(23), https://doi.org/10.3390/en12234422
The dynamics of a homogeneous adiabatic autoignition of an ammonia/air mixture at constant volume was studied, using the algorithmic tools of Computational Singular Perturbati...

Chemical Ignition Characteristics of Ethanol Blending with Primary Reference Fuels

Journal Article
Singh, E., Tingas, E., Goussis, D., Im, H. G., & Sarathy, S. M. (2019)
Chemical Ignition Characteristics of Ethanol Blending with Primary Reference Fuels. Energy and Fuels, 33(10), 10185-10196. https://doi.org/10.1021/acs.energyfuels.9b01423
Synergistic octane blending behavior of ethanol with gasoline and its surrogates has been observed by many researchers. The nonlinear octane boosting tendency is observed at m...

Topological and chemical characteristics of turbulent flames at MILD conditions

Journal Article
Manias, D. M., Tingas, E., Minamoto, Y., & Im, H. G. (2019)
Topological and chemical characteristics of turbulent flames at MILD conditions. Combustion and Flame, 208, 86-98. https://doi.org/10.1016/j.combustflame.2019.06.031
Dominant physical processes that characterize the combustion of a lean methane/air mixture, diluted with exhaust gas recirculation (EGR), under turbulent MILD premixed conditi...

Development of a reduced four-component (toluene/n-heptane/iso-octane/ethanol) gasoline surrogate model

Journal Article
Li, Y., Alfazazi, A., Mohan, B., Alexandros Tingas, E., Badra, J., Im, H. G., & Mani Sarathy, S. (2019)
Development of a reduced four-component (toluene/n-heptane/iso-octane/ethanol) gasoline surrogate model. Fuel, 247, 164-178. https://doi.org/10.1016/j.fuel.2019.03.052
The prospect of blending gasoline fuel with ethanol is being investigated as a potential way to improve the knock residence of the base gasoline. However, one of the drawbacks...