Using artificial intelligence to improve identification of nanofluid gas–liquid two-phase flow pattern in mini-channel
This work combines fuzzy logic and a support vector machine (SVM) with a principal component analysis (PCA) to create an artificial-intelligence system that identifies nanofluid gas-liquid two-phase flow states in a vertical mini-channel. Flow-pattern recognition requires finding the operational det...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
AIP Publishing LLC
2018-01-01
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Series: | AIP Advances |
Online Access: | http://dx.doi.org/10.1063/1.5008907 |