What is it about?
It compares 5 empirical and semi-empirical models to see if using physical principles to build models really helps to improve the extrapolation capability of the models.
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Why is it important?
It shows that whether using more physical principles or more empirical coefficients does not affect if a model extrapolates well. Its extrapolation capability depends on the number of redundant coefficients a model contains. The fewer the coefficients, the better the performance.
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This page is a summary of: A comparison of the effect of empirical and physical modeling approaches to extrapolation capability of compressor models by uncertainty analysis: A case study with common semi-empirical compressor mass flow rate models, International Journal of Refrigeration, February 2018, Elsevier,
DOI: 10.1016/j.ijrefrig.2017.11.020.
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