List of Publications

Kumar, M.H., Vishweshwara, P.S. and Gnanasekaran, N., 2020. Evaluation of artificial neural network in data reduction for a natural convection conjugate heat transfer problem in an inverse approach: experiments combined with CFD solutions. Sādhanā, 45, pp.1-15. DOI: https://doi.org/10.1007/s12046-020-1303-x [SCIE- Impact factor: 0.769]
Vishweshwara P S, N Gnanasekaran and Arun M, Inverse Approach using Bio-Inspired algorithm within Bayesian Framework for the Estimation of Heat Transfer Coefficients during Solidification of Al-4.5wt%Cu Alloy, ASME Journal of Heat Transfer [SCIE-Impact factor 1.602].doi.org/10.1115/1.4045134
Nakate, P., Kotresha, B. and Gnanasekaran, N., 2019. Inexpensive Computations Using Computational Fluid Dynamics Combined With Asymptotics Applied to Laminar Mixed Convection in a Vertical Channel. Journal of Heat Transfer, 141(12). [SCIE-Impact factor 1.602].doi.org/10.1115/1.4044698
Kotresha, Banjara, and N. Gnanasekaran, Comparison of Fluid Flow and Heat Transfer Through Metal Foams and Wire Mesh by Using CFD, Recent Patents on Mechanical Engineering, [Scopus] Accepted.
Vishweshwara, P.S., Harsha Kumar, M.K., Gnanasekaran, N. and Arun, M., 2019. 3D coupled conduction-convection problem using in-house heat transfer experiments in conjunction with hybrid inverse approach. Engineering Computations. https://doi.org/10.1108/EC-11-2018-0496. [SCIE- Impact factor: 1.246]
Narendran, G., Gnanasekaran, N. and Perumal, D.A., 2019. Thermodynamic irreversibility and conjugate effects of integrated microchannel cooling device using TiO 2 nanofluid. Heat and Mass Transfer, pp.1-17.[SCI-Impact factor 1.551]https://doi.org/10.1007/s00231-019-02704-z
Narendran, G., Gnanasekaran, N. and Arumuga Perumal, D., 2019. Experimental Investigation on Heat Spreader Integrated Microchannel Using Graphene Oxide Nanofluid. Heat Transfer Engineering, pp.1-23. [SCI-Impact factor 1.216]. https://doi.org/10.1080/01457632.2019.1637136
Vishweshwara, P.S., Gnanasekaran, N. and Arun, M., 2019. Simultaneous estimation of unknown parameters using a-priori knowledge for the estimation of interfacial heat transfer coefficient during solidification of Sn–5wt% Pb alloy—an ANN-driven Bayesian approach. Sādhanā, 44(4),p.100., https://doi.org/10.1007/s12046-019-1076-2 , 2018. [SCIE- Impact factor: 0.769]
Kotresha, Banjara, and N. Gnanasekaran. "Determination of interfacial heat transfer coefficient for the flow assisted mixed convection through brass wire mesh." International Journal of Thermal Sciences 138 (2019): 98-108.[SCI-Impact factor 3.7] https://doi.org/10.1016/j.ijthermalsci.2018.12.043
Kotresha, B., Gnanasekaran, N. and Balaji, C., 2019. Numerical Simulations of Flow-Assisted Mixed Convection in a Vertical Channel Filled with High Porosity Metal Foams. Heat Transfer Engineering, pp.1-12.doi.org/10.1080/01457632.2018.1564208
Kotresha, Banjara, and N. Gnanasekaran. "A Synergistic Combination of Thermal Models for Optimal Temperature Distribution of Discrete Sources Through Metal Foams in a Vertical Channel." Journal of Heat Transfer 141.2 (2019): 022004. [SCIE-Impact factor 1.602] doi:10.1115/1.4041955.
Kotresha, Banjara, and N. Gnanasekaran. "Numerical Simulations of Fluid Flow and Heat Transfer through Aluminum and Copper Metal Foam Heat Exchanger–A Comparative Study." Heat Transfer Engineering accepted (2018): 1-13. [SCI-Impact factor 1.216] https://doi.org/10.1080/01457632.2018.1546969
Harsha Kumar, M.K., Vishweshwara, P.S., Gnanasekaran, N. and Balaji, C., 2018. A combined ANN-GA and experimental based technique for the estimation of the unknown heat flux for a conjugate heat transfer problem.Heat and Mass Transfer,54(11),pp.3185-3197. DOI: https://doi.org/10.1007/s00231-018-2341-3, [SCI, Impact factor 1.551]
Kotresha, B. and Gnanasekaran, N., 2018. Investigation of Mixed Convection Heat Transfer Through Metal Foams Partially Filled in a Vertical Channel by Using Computational Fluid Dynamics. Journal of Heat Transfer, 140(11), p.112501. [SCIE-Impact factor 1.602] doi: 10.1115/1.4040614
D. Radheesh, P. Sheshan, N. Gnanasekaran and R.K. Panda, “Computational Study of Pressure Side Film Cooling-Effect of Density Ratio with Combination of Holes”, Fluid Mechanics and Fluid Power - Contemporary Research, Lecture Notes in Mechanical Engineering, pp. 821-831, 2017, DOI 10.1007/978-81-322-2743-4_77. [Scopus]doi.org/10.1007/978-81-322-2743-4_77
Gnanasekaran, N. and Balaji, S., 2018. Inverse approach for estimating boundary properties in a transient fin problem. Sādhanā, 43(7), p.108. [SCIE- Impact factor: 0.769] https://doi.org/10.1007/s12046-018-0895-x
Kotresha, B. and Gnanasekaran, N., 2019. Effect of thickness and thermal conductivity of metal foams filled in a vertical channel–a numerical study. International Journal of Numerical Methods for Heat & Fluid Flow, 29(1), pp.184-203. [SCIE-Impact factor: 2.45] https://doi.org/10.1108/HFF-11-2017-0465
Harsha Kumar and Gnanasekaran, N., 2018. A Bayesian inference approach: estimation of heat flux from fin for perturbed temperature data. Sādhanā, 43(4), p.62.[SCIE-Impact factor: 0.769]
Harsha Kumar, Kumar, S., Gnanasekaran, N. and Balaji, C., 2018. A Markov Chain Monte Carlo-Metropolis Hastings Approach for the Simultaneous Estimation of Heat Generation and Heat Transfer Coefficient from a Teflon Cylinder. Heat Transfer Engineering, 39(4), pp.339-352. DOI: 10.1080/01457632.2017.1305823 [SCI-Impact factor: 1.431]
Harsha Kumar and Gnanasekaran, N, 2018. A synergistic combination of Asymptotic Computational Fluid Dynamics and ANN for the estimation of unknown heat flux from fin heat transfer. Alexandria Engineering Journal, 57(2), pp.555-564. https://doi.org/10.1016/j.aej.2017.01.034. [Scopus – Impact factor: 2.3]
Hegde, Shreyas S., Narendran Ganesan, and N. Gnanasekaran. "Conjugate heat transfer in a Hexagonal micro channel using hybrid nano fluids." In ASME 2016 14th International Conference on Nanochannels, Microchannels, and Minichannels collocated with the ASME 2016 Heat Transfer Summer Conference and the ASME 2016 Fluids Engineering Division Summer Meeting. American Society of Mechanical Engineers Digital Collection, 2016.[Scopus]doi.org/10.1115/ICNMM2016-7961
N Gnanasekaran, N., Kumar, S. and Kumar, H., 2016. A neural network based method for estimation of heat generation from a teflon cylinder. Frontiers in Heat and Mass Transfer (FHMT), 7(1). dx.doi.org/10.5098/hmt.7.15 [Scopus]
Amey S. Kulkarni, Harsha Kumar, N. Gnanasekaran, A New Forward Model Approach for a Mild Steel Fin under Natural Convection Heat Transfer, Procedia Engineering, vol. 127, pp. 317-324, 2015, ISSN 1877-7058, https://doi.org/10.1016/j.proeng.2015.11.376. [Scopus]
ShreyasHegde, Narendran. G, N. Gnanasekaran, Conjugate Heat Transfer Studies in a Hexagonal Micro Channel, Procedia Engineering, vol. 127,pp. 719-726, 2015, ISSN 1877-7058, https://doi.org/10.1016/j.proeng.2015.11.395. [Scopus]
Gnanasekaran N., Shankar, N.T., and Balaji, C. Parameter estimation using heat transfer models with experimental data using a combined ANN-Bayesian approach, Proceedings of the 15^th International Heat Transfer Conference, IHTC 2014. [Scopus]
N Gnanasekaran, and C Balaji, Markov Chain Monte Carlo (MCMC) approach for the determination of thermal diffusivity using transient fin heat transfer experiments, International Journal of Thermal Sciences, vol. 63, pp.46-54, 2013https://doi.org/10.1016/j.ijthermalsci.2012.07.005 [SCI-Impact factor: 4.041]
Radheesh Dhanasegaran, GirishVenkatachalapathya, N.Gnanasekaran, Computational Study on Pressure Side Film Cooling and Flow Structure, ASME 2013 Gas Turbine India Conference, American Society of Mechanical Engineers. [Scopus]
B Konda Reddy, N Gnanasekaran, and C Balaji, Estimation of thermo-physical and transport properties with Bayesian inference using transient liquid crystal thermography experiments, 6^thEuropean Thermal Sciences Conference (Eurotherm 2012),Journal of Physics: Conference Series 395 (2012) 012082, doi:10.1088/1742-6596/395/1/012082. [Scopus]
N Gnanasekaran and C Balaji, A Bayesian approach for the simultaneous estimation of surface heat transfer coefficient and thermal conductivity from steady state experiments on fins, International Journal of Heat and Mass Transfer, vol. 54, pp. 3060-3068, 2011,https://doi.org/10.1016/j.ijheatmasstransfer.2011.01.028 [SCI-Impact factor: 3.552]
N Gnanasekaran, and C Balaji, 2010, A Correlation for Nusselt Number Under Turbulent Mixed Convection Using Transient Heat Transfer Experiments, Frontiers in Heat and Mass Transfer,2, 023008, 2011, DOI:10.5098/hmt.v2.2.3008. [Scopus]
N Gnanasekaran and C Balaji, An Inexpensive Technique to Simultaneously Determine Total Emissivity and Natural Convection Heat Transfer Coefficient from Transient Experiments, Experimental Heat Transfer, vol. 23:3,pp 235-258, 2010, https://doi.org/10.1080/08916150903564788.[Impact factor: 1.6]

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