Assessment of Fouling in Plate Heat Exchangers with Machine Learning Algorithms

Fouling is the accumulation of undesired particles on heat transfer surfaces which affects the heat transfer performance of a heat exchanger negatively. The accumulation of these particles prevents heat from being transformed through the heat exchangers by generating a fouling layer-like insulation. The main aim of the thesis is to investigate the machine learning algorithms to classify and predict the fouling status of PHE used in combi-boilers, to generate the background of the predictive maintenance, besides investigating the fouling effect on PHEs in terms of heat transfer and energy consumption by using a 1-D model.

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19.01.2023 tarihinden bu yana
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19.01.2023 tarihinden bu yana
Son Erişim Tarihi
12 Aralık 2023 10:02
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fouling transfer particles accumulation energy predict status combi-boilers generate consumption background predictive maintenance besides investigating effect classify Fouling algorithms undesired surfaces affects performance exchanger negatively prevents learning transformed through exchangers generating layer-like insulation thesis investigate
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Detaylı Görünüm
Eser Adı
(dc.title)
Assessment of Fouling in Plate Heat Exchangers with Machine Learning Algorithms
Eser Sahibi
(dc.contributor.author)
Ceren VATANSEVER
Tez Danışmanı
(dc.contributor.advisor)
Ziya Haktan Karadeniz
Yayıncı
(dc.publisher)
İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü
Tür
(dc.type)
Yüksek Lisans
Özet
(dc.description.abstract)
Fouling is the accumulation of undesired particles on heat transfer surfaces which affects the heat transfer performance of a heat exchanger negatively. The accumulation of these particles prevents heat from being transformed through the heat exchangers by generating a fouling layer-like insulation. The main aim of the thesis is to investigate the machine learning algorithms to classify and predict the fouling status of PHE used in combi-boilers, to generate the background of the predictive maintenance, besides investigating the fouling effect on PHEs in terms of heat transfer and energy consumption by using a 1-D model.
Kayıt Giriş Tarihi
(dc.date.accessioned)
2023-01-19
Açık Erişim Tarihi
(dc.date.available)
2023-06-22
Yayın Tarihi
(dc.date.issued)
2023
Yayın Dili
(dc.language.iso)
eng
Konu Başlıkları
(dc.subject)
Fouling
Konu Başlıkları
(dc.subject)
Machine learning
Konu Başlıkları
(dc.subject)
Plate heat exchangers
Tek Biçim Adres
(dc.identifier.uri)
https://hdl.handle.net/11469/3279
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