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research-article

Application of hybrid Monte Carlo algorithm in heat transfer

[+] Author and Article Information
Reetik Kumar Sahu

Heat Transfer and Thermal Power Laboratory, Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai - 600 036, India
reetik.k.sahu@gmail.com

Bogala Konda Reddy

Heat Transfer and Thermal Power Laboratory, Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai - 600 036, India
bogala.kondareddy@gmail.com

Chakravarthy Balaji

Heat Transfer and Thermal Power Laboratory, Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai - 600 036, India
balaji@iitm.ac.in

1Corresponding author.

ASME doi:10.1115/1.4036153 History: Received March 17, 2015; Revised February 24, 2017

Abstract

This article presents a new method of estimation of thermo-physical parameters using the hybrid Monte Carlo (HMC) algorithm that synergistically combines the advantages of a Markov Chain Monte Carlo method and molecular dynamics. The advantages of this technique over the conventional Markov Chain Monte Carlo are elucidated by considering multi-parameter estimation in heat transfer. Four situations were analyzed. The first two involve a two and a three parameters estimation in a lumped capacitance model, third involves estimation in a distributed system and the fourth involves estimation in a fin system. The goal is to establish the potency and usefulness of the HMC method for a wide class of engineering problems.

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