What is it about?
In various applications it is required to measure the heat transfer coefficient at the surface of a solid material (like quenching or heating). Generally the heat transfer coefficient depends on the surface temperature and varies with the position on the surface with respect to the heating or cooling device. Therefore it is required to measure the time dependent surface temperature and heat flux density simultaneously. In experimental facilities it is often not possible to directly measure the surface temperature and heat flux density, because the surface is not accessible and the placement of a sensor at the solid surface changes the surface geometry, which disturbs the flow conditions at the surface in case of a cooling liquid or gas. In such cases often one or more immersed temperature sensors are used in combination with inverse modelling: The heat transfer equation is used to determine both heat flux and temperature at the surface based on the measured temperature(s) of the immersed sensor(s). The main topic of the article is to analyse the accuracy of such a measurement method and the influence of process parameters like sensor depth, sensor noise level, sampling rate, heat flux density amplitude and cooling/heating process duration.
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Why is it important?
In most cases it is very important to carefully adjust the process parameters in order to obtain reliable and accurate results. Additionally the proper selection of the regularisation parameter required for the inverse problem solution is analysed.
Perspectives
Basically, the measurement technique is state of the art, but the accuracy of the results and the influence of the process parameters on the accuracy are rarely considered in detail. The proposed method allows to simulate an experimental setup and to determine the accuracy of the results gained from the simulated experiment. This is essential for the determination of the accuracy of a planned or existing test facility.
Dr. Mirko Javurek
Johannes Kepler Universitat Linz
Read the Original
This page is a summary of: Surface heat transfer coefficient measurement by immersed temperature sensor and inverse modelling, tm - Technisches Messen, January 2016, De Gruyter,
DOI: 10.1515/teme-2016-0019.
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