2020
DOI: 10.1063/5.0028560
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The study of Y+ influence on the results of ANSYS CFX flow simulation in the centrifugal compressor radial inlet

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Cited by 3 publications
(2 citation statements)
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“…Here, the selection of the type of surrogate model is important, and can be decided based on its capability for handling complex geometries where it mimics the response of a few sample designs. For decades, ANN has been used effectively for the design optimization of turbomachine components [29], [32].…”
Section: Design Optimizationmentioning
confidence: 99%
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“…Here, the selection of the type of surrogate model is important, and can be decided based on its capability for handling complex geometries where it mimics the response of a few sample designs. For decades, ANN has been used effectively for the design optimization of turbomachine components [29], [32].…”
Section: Design Optimizationmentioning
confidence: 99%
“…Several surrogate models have recently been studied. The artificial neural network (ANN) model handles complex design problems better than other models, and also converges in fewer iterations [29][30][31]. Using a trained ANN model during optimization enables application of fast search algorithms efficiently [32].…”
Section: Introductionmentioning
confidence: 99%