Sudharsan Vasudevan

Doctoral Student at Fluid Dynamics

Sudharsan Vasudevan is a PhD student at the division of fluid dynamics. His research is within computational heat transfer. Improved accuracy in prediction of nucleate boiling and surface structure impact on convective heat transfer is crucial for development of precision cooling strategies in general and in the automotive industry in particular. Using precision cooling reduces the need for excessive cooling and leads to energy saving when cooling batteries, electric motors and combustion engines. In combustion engines it has a direct impact on the CO2 reduction. Since September 2017 he is working on his PhD-project entitled ‘Precision cooling for CO2 reduction’. This work primarily involves development of numerical methods for accurate prediction of local heat transfer in a combustion engine coolant jacket environment.


Showing 3 publications


Improved estimation of subcooled flow boiling heat flux for automotive engine cooling applications

Sudharsan Vasudevan, Sassan Etemad, Lars Davidson
ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference, AJKFluids 2019. Vol. 3A-2019
Paper in proceedings

Precision cooling for C02 reduction

Sudharsan Vasudevan
Licentiate thesis

A partitioned FSI methodology for analysis of sloshing-induced loads on a fuel tank structure

Sampann Arora, Sudharsan Vasudevan, Sassan Etemad et al
Proceedings of ECCM-ECFD 2018
Paper in proceedings

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