Dr Stathis Tingas' Outputs (6)

Dynamics Analysis of a Jet-Fuel Surrogate and Development of a Skeletal Mechanism for Computational Fluid Dynamic Applications (2020)
Journal Article
Sharmin, N., & Tingas, E.-A. (2020). Dynamics Analysis of a Jet-Fuel Surrogate and Development of a Skeletal Mechanism for Computational Fluid Dynamic Applications. Journal of Energy Engineering, 146(6), Article 04020064. https://doi.org/10.1061/%28asce%29ey.1943-7897.0000714

The autoignition dynamics of a three-component surrogate jet fuel (66.2% n-dodecane, 15.8% n-proplylbenzene, 18.0% 1,3,5-trimethylcyclohexane) suitable for usage as Jet A-1 and RP-3 aviation fuels are analyzed, using the detailed mechanism of Liu et... Read More about Dynamics Analysis of a Jet-Fuel Surrogate and Development of a Skeletal Mechanism for Computational Fluid Dynamic Applications.

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 (2020)
Book Chapter
Valorani, M., Creta, F., Ciottoli, P. P., Malpica Galassi, R., Goussis, D. A., Najm, H. N., Paolucci, S., Im, H. G., Tingas, E.-A., Manias, D. M., Parente, A., Li, Z., & 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 includes a coherent summary of the theoretical foundations of these two method... Read More about 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.

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 (2020)
Book Chapter
Valorani, M., Creta, F., Ciottoli, P. P., Malpica Galassi, R., Goussis, D. A., Najm, H. N., Paolucci, S., Im, H. G., Tingas, E.-A., Manias, D. M., Parente, A., Li, Z., & 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 H. Pitsch, & A. Attili (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 (2020)
Journal Article
Yalamanchi, K. K., Tingas, E., Im, H. G., & Sarathy, S. M. (2020). Screening gas‐phase chemical kinetic models: Collision limit compliance and ultrafast timescales. International Journal of Chemical Kinetics, 52(9), 599-610. 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. Recent works have highlighted the need for error checking when preparing s... Read More about Screening gas‐phase chemical kinetic models: Collision limit compliance and ultrafast timescales.

DNS of Lean Hydrogen Turbulent Premixed Flames at High Karlovitz Number Conditions (2020)
Presentation / Conference Contribution
Song, W., Hernandez Perez, F., Tingas, A.-E., & Im, H. G. (2020, January). DNS of Lean Hydrogen Turbulent Premixed Flames at High Karlovitz Number Conditions. Presented at AIAA Scitech 2020 Forum, Orlando, FL

To investigate the turbulent flame speed at high Karlovitz number (Ka) conditions, high fidelity direct numerical simulations (DNS) of lean hydrogen/air premixed flames propagating in a channel are performed with forced turbulence. The turbulent flame sp... Read More about DNS of Lean Hydrogen Turbulent Premixed Flames at High Karlovitz Number Conditions.

Computational investigation of rod-stabilized laminar premixed hydrogen–methane–air flames (2020)
Presentation / Conference Contribution
Hernandez Perez, F. E., Im, H. G., & Tingas, A. E. (2020, January). Computational investigation of rod-stabilized laminar premixed hydrogen–methane–air flames. Presented at AIAA Scitech 2020 Forum, Orlando, FL

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 ratio or increasing the mean inflow velocity leads to a larger standoff dista... Read More about Computational investigation of rod-stabilized laminar premixed hydrogen–methane–air flames.