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Prabhu-S_asst-professor_me_engineering_amritauniversity_coimbatore

Prabhu S.

Assistant Professor, Department of Mechanical Engineering, School of Engineering, Coimbatore

Qualification: M.E
s_prabhu1@cb.amrita.edu
Research Interest: Investigate the Sensitivity of the Soot Formation Rate to Various Chemical Pathways for Large Polycyclic Aromatic Hydrocarbons

Bio Publications Research
Bio

Prabhu S. received his M. E. in Internal Combustion Engineering from College of Engineering, Guindy, Anna University, Chennai. His professional experience includes working as a Project Manager at TATA chemicals limited and Computational Engineer at General Electric-Aviation. His area of interest includes Internal Combustion Engines, Gas Turbines, Emission Modeling, Direct Numerical Simulation, Machine Learning. He joined Amrita School of Engineering in June 2018 and currently working as Assistant Professor.

Publications

Journal Article

Year : 2021

Modelling and Validating the Spray Characteristics of a Co-Axial Twin-Fluid Atomizer Using Openfoam

Cite this Research Publication : Shriram S., Samba Siva Rao., Siddharth P., Balaji K., Prabhu S*., 2021 Modelling and Validating the Spray Characteristics of a Co-Axial Twin-Fluid Atomizer Using Openfoam, Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, pp. 35-45.

Publisher : Journal of Advanced Research in Fluid Mechanics and Thermal Sciences

Year : 2020

A Computational Study on the Effect of Supercritical CO 2 in a Combustor

Cite this Research Publication : V. Nair and Prabhu S., “A Computational Study on the Effect of Supercritical CO 2 in a Combustor”, Trends in Mechanical and Biomedical Design, pp. 379–391, 2020.

Publisher : Trends in Mechanical and Biomedical Design, Springer,

Year : 2020

An analysis of soot formation pathways in laminar coflow ethylene flame at higher pressures

Cite this Research Publication : J. Guo, Prabhu S., Tang, Y., Im, H., and Raman, V., “An analysis of soot formation pathways in laminar coflow ethylene flame at higher pressures”, AIAA Scitech 2020 Forum, 2020.

Publisher : AIAA Scitech

Year : 2019

Analysis of active cooling panels in a scramjet combustor considering the thermal cracking of hydrocarbon fuel

Cite this Research Publication : P. Sreekireddy, Reddy, T. Kishen Kum, Prabhu S., Reddy, V. Mahendra, and Lee, B. Jik, “Analysis of active cooling panels in a scramjet combustor considering the thermal cracking of hydrocarbon fuel”, Applied Thermal Engineering, vol. 147, pp. 231 - 241, 2019.

Publisher : Applied Thermal Engineering

Year : 2016

A computational study of ethylene–air sooting flames: Effects of large polycyclic aromatic hydrocarbons

Cite this Research Publication : Prabhu S., Arias, P. G., Lee, B. Jik, Im, H. G., Wang, Y., Gao, Y., Park, S., S. Sarathy, M., Lu, T., and Chung, S. Ho, “A computational study of ethylene–air sooting flames: Effects of large polycyclic aromatic hydrocarbons”, Combustion and Flame, vol. 163, pp. 427 - 436, 2016.

Publisher : Combustion and Flame .

Conference Proceedings

Year : 2019

Effect of soot model, moment method, and chemical kinetics on soot formation in a model aircraft combustor

Cite this Research Publication : S. T. Chong, Raman, V., Mueller, M. E., Prabhu S., and Im, H. G., “Effect of soot model, moment method, and chemical kinetics on soot formation in a model aircraft combustor”, Proceedings of the Combustion Institute, vol. 37(1). pp. 1065-1074., 2019.

Publisher : Proceedings of the Combustion Institute

Conference Paper

Year : 2017

A computational study of soot formation in opposed-flow diffusion flame interacting with vortices

Cite this Research Publication : Prabhu S. and Hong G. Im, “A computational study of soot formation in opposed-flow diffusion flame interacting with vortices”, in 55th AIAA Aerospace Sciences Meeting, Dallas, Texas, 2017.


Publisher : 55th AIAA Aerospace Sciences Meeting,

Year : 2016

Effects of Large Polycyclic Aromatic Hydrocarbons on the Soot Formation in Premixed Flames – ISF Data Comparison

Cite this Research Publication : Prabhu S., Arias, P. G., Lee, B. J., Wang, Y., Gao, Y., Park, S., Sarathy, M., Chung, S. H., Lu, T., and Im, H. G., “Effects of Large Polycyclic Aromatic Hydrocarbons on the Soot Formation in Premixed Flames – ISF Data Comparison”, in 3rd International Sooting Flame (ISF) Workshop, Seoul, South Korea, 2016.

Publisher : 3rd International Sooting Flame (ISF) Workshop, Seoul, South Korea.

Year : 2015

Effects of Large Polycyclic Aromatic Hydrocarbons on the Soot Formation in Ethylene-Air Nonpremixed Flames

Cite this Research Publication : Prabhu S., Arias, P. G., Wang, Y., Gao, Y., Park, S., Im, H. G., S Sarathy, M., Chung, S. - H., and Lu, T., “Effects of Large Polycyclic Aromatic Hydrocarbons on the Soot Formation in Ethylene-Air Nonpremixed Flames”, in Proceedings of the European Combustion Meeting 2015, 2015.

Publisher : Proceedings of the European Combustion Meeting 2015

Year : 2014

A Numerical Study on the Sensitivity of Larger Polycyclic Aromatic Hydrocarbons in Nucleation Processes of Sooting Flames

Cite this Research Publication : Prabhu S., Arias, P. G., Gao, Y., Park, S., Im, H. G., Sarathy, S. M., and Lu, T., “A Numerical Study on the Sensitivity of Larger Polycyclic Aromatic Hydrocarbons in Nucleation Processes of Sooting Flames”, in 35th International Symposium of Combustion, Work-in-Progress Poster W4P131, San Francisco, CA., 2014.

Publisher : 35th International Symposium of Combustion, Work-in-Progress Poster W4P131

Research

Research Expertise

My research interest is to investigate the sensitivity of the soot formation rate to various chemical pathways for large polycyclic aromatic hydrocarbons. The process involves a systematic reduction of the reaction mechanisms for efficient flame simulations, description of soot aerosol model based on statistical approaches, and high fidelity simulations of laminar and turbulent flames.

Projects Guided

  • A machine learning approach for emission prediction in a diesel engine
  • Numerical Analysis of Co Flow Jet Airfoil.
  • A computational Study on the effect of supercritical CO2 in a combustor.
  • Analysis and improve the existing reciprocating air compressor performance by DOE technique.
  • Computational analysis of biofuel spray characteristics using ignition quality tester.
  • Computational Modeling of GCI Engine Fueled With Biodiesel and Gasoline blends.
  • Analysis of thermo acoustic instabilities in gas turbine combustors using Rijke tube.
  • Artificial neural network approach in prediction of IC engine emissions
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