On the measurement and analysis of data from transient heat transfer experiments
On the measurement and analysis of data from transient heat transfer experiments
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DOI:
10.1016/j.ijheatmasstransfer.2016.03.009
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发表时间:
2016-07
影响因子:
5.2
通讯作者:
Geonhwan Cho;Hui Tang;J. Owen;G. Lock
中科院分区:
文献类型:
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作者:
Geonhwan Cho;Hui Tang;J. Owen;G. Lock
This paper describes a new method to determine the heat transfer coefficient, h, and the adiabatic-surface temperature, T ad, from transient measurements of the surface temperature of a test piece. Maximum Likelihood Estimation (MLE) is used in conjunction with Fourier’s 1D equation to determine the optimum values of h and T ad, and also their 95% confidence intervals, without having to measure the air temperature. Validation experiments are conducted in a small purpose-built wind tunnel, and a novel infra-red (IR) sensor is used to measure the surface temperature of the test piece. A mesh heater is used to generate either a step-change in the air temperature or a ‘slow-transient’in which the air temperature–and consequently T ad–increases slowly with time. Numerical simulations, using ‘noisy data’, show that the computations give accurate estimates of h and T ad for both the step-change and slow-transient cases. The values of h and T ad determined from the measurements in the wind-tunnel are in good agreement with empirical correlations for turbulent flow over a flat plate. An advantage of the new method is that it can be used for all transient experiments, even those slow transients that violate the assumption of a semi-infinite solid, an assumption that is used in most existing analysis methods. The new method, which was applied here to boundary-layer flow with one stream of fluid, could also be applied to ‘three-temperature problems’, like film cooling, which involve two streams of fluid. The significant advantage of using the method for these problems is that both h and T ad could be determined accurately from a single experiment.