Dimensional analysis and surrogate models for the thermal modeling of Multiphysics systems
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文摘

An original surrogate model form adapted to thermal systems is presented.

The approximations use a product of variable power laws of dimensionless numbers.

The models are light and compact with good predictive accuracy over a wide range of the variables.

The regression process can be used for sizing and optimization of multidisciplinary systems.

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