Numerical Processing of Thin-film Thermometer Data for Determining Transient Heat Fluxes

The purpose of this study is the evaluation of transient heat fluxes using thin-film thermometer data. A thin-film temperature sensor operated in transient mode enables very accurate surface temperature measurements (e.g., in turbine blades or in hypersonic wind tunnels), which are obtained because the gauge is non-intrusive and has a high frequency response; however, the complexity of data processing is the major drawback for the popular use of the thin-film sensor. The performances of present methodologies for data reduction are here improved, leading to a new implicit method; in addition, a new numerical concept of data reduction is presented: it includes a comprehensive 1-D finite element model which is convenient both for its capability of dealing with the most general boundary conditions and for the low computational cost as compared to the present transform-based methods. The proposed finite element method can tackle the single- and the double-layer sensor, temperature dependent properties of the sensor and, more importantly, it can be applied when the semi-infinite assumption is no longer feasible; it proved successful in processing prototype signals for Mach numbers in the range 0.02–6. The analytical calculation of the accuracy of all the methods is also new and it prompts a guideline that is useful to design a priori an experiment on rational basis.