S
S. Somasundharam
Researcher at Indian Institute of Technology Madras
Publications - 8
Citations - 57
S. Somasundharam is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Estimation theory & Bayesian probability. The author has an hindex of 4, co-authored 8 publications receiving 37 citations. Previous affiliations of S. Somasundharam include VIT University.
Papers
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Simultaneous estimation of thermal properties of orthotropic material with non-intrusive measurement
S. Somasundharam,K.S. Reddy +1 more
TL;DR: In this paper, a simple in-house laboratory experiment method for the simultaneous estimation of principal thermal conductivity and specific heat capacity of an orthotropic composite with non-intrusive temperature measurement is presented.
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An Inverse Method for Simultaneous Estimation of Thermal Properties of Orthotropic Materials using Gaussian Process Regression
K.S. Reddy,S. Somasundharam +1 more
TL;DR: In this paper, the inverse heat conduction problem (IHCP) involving the simultaneous estimation of principal thermal conductivities (kxx,kyy,kzz ) and specific heat capacity of orthotropic materials is solved by using surrogate forward model.
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In-situ prediction of focal flux distribution for concentrating photovoltaic (CPV) system using inverse heat transfer technique for effective design of receiver
TL;DR: In this paper, an experimental work for in-situ prediction of heat flux distribution profile on a flat plate receiver is presented, in which a Gaussian distribution is assumed to model the distribution of the heat flux and a deterministic search technique, Levenberg-Marquardt algorithm is used to solve the inverse problem.
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Inverse estimation of thermal properties using Bayesian inference and three different sampling techniques
S. Somasundharam,K.S. Reddy +1 more
TL;DR: In this paper, three different thermal properties such as thermal conductivity, heat transfer coefficient and emissivity are retrieved simultaneously using Bayesian inverse framework and two population-based sampling techniques such as Parallel Tempering (PT) and Evolutionary Monte-Carlo (EMC) are used along with MH-MCMC to sample through correlated PPDF to retrieve the above three thermal properties.
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Development of experimental methodology for estimation of thermo-physical properties of engineering materials using inverse method
TL;DR: In this paper, a novel experimental methodology is proposed for the simultaneous estimation of unknown thermal conductivity (k) and specific heat capacity (cp) of engineering materials, which involves radiative heating of the test sample and measuring its temperature response at two different locations.