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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Acknowledgements
This work is supported by the fund of SERB division of Department of Science and Technology, Government of India. The financial support toward this research is greatly appreciated.
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Shah, S., Parwani, A.K. (2020). Estimation of Time-Varying Heat Flux for One-Dimensional Heat Conduction Problem by Hybrid Inverse Method. In: Parwani, A., Ramkumar, P. (eds) Recent Advances in Mechanical Infrastructure. Lecture Notes in Intelligent Transportation and Infrastructure. Springer, Singapore. https://doi.org/10.1007/978-981-32-9971-9_22
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DOI: https://doi.org/10.1007/978-981-32-9971-9_22
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