TY  - CHAP
AU  - Tao Min
AU  - Xing Chen
AU  - Yao Sun
AU  - Qiang Huang
ED  - Suvanjan Bhattacharya
ED  - Mohammad Moghimi Ardekani
ED  - Ranjib Biswas
ED  - R. C. Mehta
Y1  - 2019-10-07
PY  - 2019
T1  - A Numerical Approach to Solving an Inverse Heat Conduction Problem Using the Levenberg-Marquardt Algorithm
N2  - A direct solution of the heat conduction equation with prescribed initial and boundary conditions yields temperature distribution inside a specimen. The direct solution is mathematically considered as a well-posed one because the solution exists, is unique, and continuously depends on input data. The estimation of unknown parameters from the measured temperature data is known as the inverse problem of heat conduction. An error in temperature measurement, thermal time lagging, thermocouple-cavity, or signal noise data makes stability a problem in the estimation of unknown parameters. The solution of the inverse problem can be obtained by employing the gradient or non-gradient based inverse algorithm. The aim of this book is to analyze the inverse problem and heat exchanger applications in the fields of aerospace, mechanical, applied mechanics, environment sciences, and engineering.
BT  - Inverse Heat Conduction and Heat Exchangers
SP  - Ch. 6
UR  - https://doi.org/10.5772/intechopen.89096
DO  - 10.5772/intechopen.89096
SN  - 978-1-78985-178-6
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-18
ER  -