期刊
THERMAL SCIENCE AND ENGINEERING PROGRESS
卷 22, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.tsep.2020.100832
关键词
Inverse technique; Simultaneous estimation; Thermal conductivity; Specific heat capacity; Levenberg-Marquardt
A novel experimental methodology is proposed for estimating the unknown thermal conductivity and specific heat capacity of engineering materials. The method involves radiative heating of the test sample and measuring its temperature response at two different locations. Numerical estimations and real-time temperature measurements suggest that the time-dependent heat flux boundary condition is more suitable for estimating the properties of materials with higher thermal conductivity.
In the present article, a novel experimental methodology is proposed for the simultaneous estimation of unknown thermal conductivity (k) and specific heat capacity (c(p)) of engineering materials. The experimental method involves radiative heating of the test sample and measuring its temperature response at two different locations. Proper arrangements have been made to realize one-dimensional heat conduction within the test sample. The one-dimensional heat conduction equation with convection-radiation heat loss boundary condition is considered as the forward model as it best mimics the experimental heat transfer. The inverse problem is formulated as a parameter estimation problem, and solved using Levenberg-Marquardt algorithm. First, numerical estimations were carried out with synthetic temperature data. It was found that the time-dependent heat flux boundary condition is more suitable to estimate the properties of higher thermal conductivity materials. Then, real-time temperature measurements were carried out on Stainless Steel (SS), Mild Steel (MS), Brass (BS), Aluminium (Al), and Copper (Cu) test samples. The estimated k of SS, MS, BS, Al, and Cu in (W/(m K)) is 14.03, 54.63, 103.21, 221.53 and 379.89, respectively. And, the estimated c p of SS, MS, BS, Al, and Cu in (J/(kg K)) is 500.44, 460.84, 395.01, 939.58, and 398.43 respectively. The estimated thermal properties are also validated against experimentally measured values obtained using the Modified Transient Plane Source (MTPS) sensor. It was found that the estimated k and c p in case of SS has a deviation of 7% and 4%, respectively.
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