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Machine learning cl...
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Seal, M. K.Clean Energy Research Group, Department of Mechanical and Aeronautical Engineering, University of Pretoria,Hatfield (ZAF)
(författare)
Machine learning classification of in-tube condensation flow patterns using visualization
- Artikel/kapitelEngelska2021
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Elsevier,2021
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LIBRIS-ID:oai:DiVA.org:hv-17448
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https://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-17448URI
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https://doi.org/10.1016/j.ijmultiphaseflow.2021.103755DOI
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Språk:engelska
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Sammanfattning på:engelska
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Identifying two-phase flow patterns is fundamental to successfully design and subsequently optimize highprecision heat transfer equipment, given that the heat transfer efficiency and pressure gradients occurring in such thermo-hydraulic systems are dependent on the flow structure of the working fluid. This paper shows that with visualization data and artificial neural networks, the flow pattern images of condensation of R-134a refrigerant in inclined smooth tubes can be classified with more than 98% accuracy. The study considers 10 classes of flow pattern images acquired from previous experimental works for a wide range of flow conditions and the full range of tube inclination angles. Although not the focus of this paper, the use of a Principal Component Analysis allowed feature dimensionality reduction, dataset visualization, and decreased associated computational cost when used together with multilayer perceptron neural networks. In addition, the superior two-dimensional spatial learning capability of convolutional neural networks allowed improved image classification and generalization performance. In both cases, the classification was performed sufficiently fast to enable real-time implementation in two-phase flow systems.
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Noori Rahim Abadi, Seyyed Mohammad Ali,1985-Högskolan Väst,Avdelningen för svetsteknologi (SV),PTW(Swepub:hv)seynoo
(författare)
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Mehrabi, M.Clean Energy Research Group, Department of Mechanical and Aeronautical Engineering, University of Pretoria, Hatfield (ZAF)
(författare)
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Meyer, J. P.Clean Energy Research Group, Department of Mechanical and Aeronautical Engineering, University of Pretoria, Hatfield (ZAF)
(författare)
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Clean Energy Research Group, Department of Mechanical and Aeronautical Engineering, University of Pretoria,Hatfield (ZAF)Avdelningen för svetsteknologi (SV)
(creator_code:org_t)
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Ingår i:International Journal of Multiphase Flow: Elsevier1430301-93221879-3533
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