Model based measurement evaluation of transient heat transfer experiments - A comparative study

Abstract:
Four algorithms for the solution of an Inverse Heat Conduction Problem arising from the evaluation of transient heat transfer experiments were implemented and compared for the achievable tradeoff between estimation quality and sensitivity to measurement noise. One of the algorithms constitutes a new and more efficient approach to unknown input or disturbance observation. To assess the tradeoff, two measures for estimation quality and sensitivity are computed by means of standardized test cases and then compared. It is demonstrated that disturbance observers are a reliable evaluation algorithm for real-time applications. For off-line data evaluation, no clear recommendation for one algorithm is made, but it is demonstrated how a suitable method should be chosen depending on the level of measurement noise, sampling frequency, and available computing power.

Keywords:
Boiling experiments, heat transfer, inverse heat conduction problem, model based measurement evaluation.

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