Department of Aerospace Engineering | Indian Institute Of Technology Madras , Chennai
team

Vadlamani Nagabhushana Rao

Assistant Professor

Ph.D., Whittle Laboratory, University of Cambridge, UK, Oct 2010 - Jan 2014

M.Tech., Mechanical Engineering (TDCE Lab), IIT Madras, Aug 2007 - July 2009

B.Tech., Mechanical Engineering, NIT, Warangal, Aug 2003 - July 2007

+91- 44- [22]-57 [40]-37

nrv[at]iitm[.]ac[.]in

CTC 221, Composite Technology Centre

Personal Website

  • Dr. Nagabhushana Rao Vadlamani pursued his Ph.D. in Engineering from the Whittle Laboratory at the University of Cambridge in 2014. Subsequently, he was awarded the Bowring research fellowship by St. Catharine's College, Cambridge to pursue independent research. He continued working as a Senior Research Associate in the Cambridge University Engineering Department on Rolls-Royce and TSB-funded projects. Prior to his Ph.D., Rao worked with the Digital Mockup team at Airbus India on the safe installation of various aircraft systems. He pursued his master's degree in Thermal engineering from IIT Madras and his Bachelor’s degree from NIT Warangal in Mechanical Engineering.
  • Rao's research involves developing reliable numerical tools to build efficient components for modern aircraft engines. In 2013, he and his colleagues were the recipients of the ASME IGTI Turbomachinery Committee Best Paper Award for their work on transition in low-pressure turbines.

  • Computational Fluid Dynamics, Transition to turbulence, Turbomachinery, High order methods, High performance computing

  • Associate Professor, Aerospace Engineering, IIT Madras, Jan 2024 - Present
  • Assistant Professor, Aerospace Engineering, IIT Madras, July 2018 - Jan 2024
  • Bowring Research Fellow, St. Catharine's College, Cambridge, Oct 2015 - July 2018
  • Senior Research Associate, Cambridge University Engineering Department, June 2017 - July 2018
  • Research Associate, Cambridge University Engineering Department, May 2014 - June 2017
  • Research Assistant, Whittle Laboratory, Jan 2014 - May 2014
  • Associate Engineer, Airbus Engineering Centre India, Bangalore, July 2009 - June 2010

  1. Aerothermal Performance of Axially Varying Winglet-Squealer Blade Tips. Journal of Turbomachinery

    Author: Anmol G., Vadlamani, N. R., & Balaji, S.,

    Volume: 145(7)

    Page: 071009

    DOI/Link: https://asmedigitalcollection.asme.org/turbomachinery/article-abstract/145/7/071009/1156255/Aerothermal-Performance-of-Axially-Varying-Winglet?redirectedFrom=fulltext

    Year: 2023

  2. Profile Loss Reduction of High Lift Turbine Blades With Rough and Ribbed Surfaces. Journal of Turbomachinery

    Author: Sivaramakrishnan Malathi, A., Nardini, M., Vaid, A., Vadlamani, N. R., & Sandberg, R.

    Volume: 145(2)

    Page: 021001

    DOI/Link: https://asmedigitalcollection.asme.org/turbomachinery/article-abstract/145/2/021001/1146010/Profile-Loss-Reduction-of-High-Lift-Turbine-Blades?redirectedFrom=fulltext

    Year: 2023

  3. Efficacy of line-based explicit and compact high-order finite difference schemes for hybrid unstructured grids. Computers and Fluids

    Author: Savsani, V., Govindarajan, B., & Vadlamani, N. R.

    Volume: 250

    Page: 105700

    DOI/Link: https://www.sciencedirect.com/science/article/abs/pii/S0045793022002936

    Year: 2023

  4. Dynamics of Bypass Transition Behind Roughness Element Subjected to Pulses of Free-Stream Turbulence. Physics of Fluids

    Author: Vaid, A., Vadlamani, N. R., Sivaramakrishnan Malathi, A., & Gupta, V.

    Volume: 34(11)

    Page: 114110

    DOI/Link: https://pubs.aip.org/aip/pof/article-abstract/34/11/114110/2847491/Dynamics-of-bypass-transition-behind-roughness?redirectedFrom=fulltext

    Year: 2023

  5. On the use of high order central difference schemes for differential equation based wall distance computations. Computers and Fluids

    Author: Kakumani, H. C. V., & Vadlamani, N. R., & Tucker, P. G.

    Page: 105666

    DOI/Link: https://www.sciencedirect.com/science/article/pii/S0045793022002304

    Year: 2022

  6. Deep Neural Networks to Correct Sub-Precision Errors in CFD. Applications in Energy and Combustion Science

    Author: Haridas, A., Vadlamani, N. R., & Minamoto, Y.

    Page: 100081

    DOI/Link: https://www.sciencedirect.com/science/article/pii/S2666352X22000243

    Year: 2022

  7. Artificial compressibility approaches in flux reconstruction for incompressible viscous flow simulations. Computers and Fluids

    Author: Trojak, W., Vadlamani, N. R., Tyacke, J., Witherden, F., & Jameson, A.

    Page: 105634

    DOI/Link: https://www.sciencedirect.com/science/article/pii/S0045793022002304

    Year: 2022

  8. Surface Roughness Effects on Cavity Flows. Flow, Turbulence and Combustion

    Author: Nampelly, G., Malathi, A. S., Vaid, A., Vadlamani, N. R., Rengarajan, S., & Kontis, K.

    Volume: 109(4)

    Page: 1215-1239

    DOI/Link: https://link.springer.com/article/10.1007/s10494-022-00345-7

    Year: 2022

  9. Quasi 3D Nacelle Design to Simulate Crosswind Flows: Merits and Challenges. International Journal of Turbomachinery, Propulsion and Power

    Author: Yeung, A., Vadlamani, N. R., Hynes, T., & Sarvankar, S.

    Volume: 4(3)

    Page: 25

    DOI/Link: https://www.mdpi.com/2504-186X/4/3/25

    Year: 2019

  10. Turbomachinery Simulation Challenges and the Future. Progress in Aerospace Sciences

    Author: Tyacke J.C., Vadlamani, N. R., Trojak, W., Watson R., & Tucker, P. G.

    Volume: 10

    Page: 100554

    DOI/Link: https://www.sciencedirect.com/science/article/pii/S0376042119300715

    Year: 2019

  11. Riblet Performance Beneath Transitional and Turbulent Boundary Layers at Low Reynolds Numbers. AIAA Journal

    Author: Sivaramakrishnan Malathi, A., Nardini, M., Vaid, A., Kozul, M., Vadlamani, N. R., & Sandberg, R.

    Volume: 61(5)

    DOI/Link: https://arc.aiaa.org/doi/abs/10.2514/1.J062418?journalCode=aiaaj

    Year: 1986-2001

  1. Line-based high-order methods for unstructured grids. In AIAA AVIATION 2022 Forum, Chicago, IL and Virtual

    Author: Savsani, V., Govindarajan, B., & Vadlamani, N. R.

    Year: June 27 - July 1, 2022

  2. Profile Loss Reduction of High Lift Turbine Blades With Rough and Ribbed Surfaces, GT2022-82558, In proceedings of ASME Turbo Expo, Rotterdam, Netherlands

    Author: Sivaramakrishnan Malathi, A., Nardini, M., Vaid, A., Vadlamani, N. R, & Sandberg, R. D.

    Year: June 13-17, 2022

  3. Crosswind Aerodynamic Analysis Using Quasi 3d Ducts”, GT2022-82964, In proceedings of ASME Turbo Expo, Rotterdam, Netherlands

    Author: Sumit Saravankar, Adrian Arasu, Vadlamani, N. R

    Year: June 13-17, 2022

  4. Aerothermal Performance of Axially Varying Winglet-Squealer Blade Tips”, GT2022-82947, In proceedings of ASME Turbo Expo, Rotterdam, Netherlands

    Author: Anmol Garg, Vadlamani, N. R, Srinivasan B.,

    Year: June 13-17, 2022

  5. Dynamics of Bypass Transition with roughness and pulses of free-stream turbulence. In AIAA SCITECH 2022 Forum (p. 0453), National Harbor, MD and Online

    Author: Vaid, A., Vadlamani, N. R, & Sivaramakrishnan Malathi, A.

    Year: Jan 23-27, 2022

  6. Surface Roughness Benefits in Open Cavity Flows. In AIAA SCITECH 2022 Forum, National Harbor, MD and Online

    Author: Nampelly, G., Sivaramakrishnan Malathi, A., Vadlamani, N. R, Rengarajan, S., & Kontis, K.

    Year: Jan 23-27, 2022

  7. On the efficacy of riblets toward drag reduction of transitional and turbulent boundary layers. In AIAA SCITECH 2022 Forum (p. 0472), National Harbor, MD and Online

    Author: Sivaramakrishnan Malathi, A., Nardini, M., Vaid, A., Vadlamani, N. R, & Sandberg, R. D.

    Year: Jan 23-27, 2022

  8. Framework to Characterize Aeroacoustic Loads Beneath High-Speed Boundary Layers. In 25th AIAA International Space Planes and Hypersonic Systems and Technologies Conference

    Author: Kaluva, S. T., Kumar, R. R., & Vadlamani, N. R.

    Year: 2023

  9. Application of Machine Learning Techniques in Temperature Forecast." 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE

    Author: Arasu, A. I., Manish, M., & Vadlamani, N. R.

    Year: 2022

  10. Inverse Design of Airfoils Using Convolutional Neural Network and Deep Neural Network. In Gas Turbine India Conference, American Society of Mechanical Engineers

    Author: Kumar, A., & Vadlamani, N. R

    Volume: Vol. 85536

    Year: 2021

  1. "Eddy Resolving Simulations of Intake Under Crosswinds.", Direct and Large-Eddy Simulation XI. Springer, Cham,

    Author: Vadlamani, N. R., and P. G. Tucker.

    Page: 523-529

    DOI/Link: https://link.springer.com/chapter/10.1007/978-3-030-04915-7_69

    Year: 2019

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