Estimation of Time-Varying Heat Flux for One-Dimensional Heat Conduction Problem by Hybrid Inverse Method

Sanil Shah,Ajit Kumar Parwani

doi:10.1007/978-981-32-9971-9_22

Estimation of Time-Varying Heat Flux for One-Dimensional Heat Conduction Problem by Hybrid Inverse Method

Sanil Shah, Ajit Kumar Parwani

https://doi.org/10.1007/978-981-32-9971-9_22

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Publication Date: Oct 19, 2019

Citations: 3

Affiliation: Institute of Infrastructure Technology Research and Management

#Conjugate Gradient Method #Inverse Heat Transfer Method + Show 8 more

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Abstract

Time-varying heat flux for one-dimensional heat conduction problem is estimated by inverse heat transfer method. The conjugate gradient method (CGM) and hybrid of JAYA-CGM algorithm are used for estimation. Finite volume method (FVM) is used to discretize one-dimensional problem domain for determining simulated temperature measurements. These temperature measurements are utilized in CGM and hybrid algorithm in order to estimate transient heat flux. Results show that hybrid algorithm estimates constant, linearly increasing, and linearly decreasing heat flux better than CGM.

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