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The error of 10% in the pressure drop prediction by CFD is acceptable for design purposes.
The average error of pressure drop prediction for these four models are 32, 23.2, 12.1, and 42.7% in sequence.
In heat exchanger design and simulation, a precise refrigerant pressure drop prediction is difficult because of limited correlation's accuracy.
The drift flow theory, void fraction prediction model and friction pressure drop prediction model have been incorporated into LENAC code.
ii) The drift-flux model and homogenous model are the most suitable models for pressure drop prediction.
A flow based pressure drop prediction model was developed which agrees well (within ±10%) with the experimentally measured two phase pressure drop.
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Comparison of numerical results and theoretical predictions for efficiency of heat recovery shows a 10% error; however, pressure drop predictions were consistent.
Typical morphological parameters such as specific surface area, as well as pressure drop predictions can be reproduced with a good accuracy.
Presently, EC and CFD were compared considering the pressure drop predictions within the packed bed columns for spherical, cylindrical, trilobe and quadrilobe particle packing, in order to determine the limits of EC accuracy.
Comparisons of measurements from the 300-μm case with the numerical solutions showed good agreement for pressure drop predictions with an average deviation of 4.5% but poor agreement for the Nusselt number predictions with deviation of more than 30% for cases at higher Reynolds number.
Simulation also predicted a drop in prediction accuracy in case of RR-BLUP for traits controlled by a small number of QTL [ 44].
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