FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3174267879> ?p ?o ?g. }

• W3174267879 endingPage "121620" @default.
• W3174267879 startingPage "121620" @default.
• W3174267879 abstract "Determining the empirical coefficient and correlation used in phase change model (such as Lee model and empirical correlation model) is one of challenges for the simulation of two-phase flow. To solve this issue in simulation of bubble condensation using volume of fluid (VOF) method, a new phase change model is developed by coupling Lee model and machine learning method, and is termed as ANN-Lee model in this study. The formulation of the empirical coefficient in Lee model is derived based on energy conservation equation. By learning from data collected from previous experiments or generated by empirical correlations, an artificial neural network (ANN) model is trained to calculate the empirical coefficient in each simulation time step. In verified cases of bubble condensation, the ANN-Lee model well predicts the bubble condensation process without concern for the selection of empirical coefficient or correlation in the phase change model. Even using coarse mesh, it can still achieve a comparably accurate prediction as the fine-mesh case. The present simulation results support the feasibility of applying machine learning method for improving the computational fluid dynamics (CFD) prediction of two-phase flow with phase change." @default.
• W3174267879 created "2021-07-05" @default.
• W3174267879 creator A5010765759 @default.
• W3174267879 creator A5041588764 @default.
• W3174267879 creator A5045115613 @default.
• W3174267879 creator A5046088648 @default.
• W3174267879 creator A5050429633 @default.
• W3174267879 date "2021-10-01" @default.
• W3174267879 modified "2023-10-14" @default.
• W3174267879 title "A machine-learning based phase change model for simulation of bubble condensation" @default.
• W3174267879 cites W1451075632 @default.
• W3174267879 cites W1983565516 @default.
• W3174267879 cites W1984929277 @default.
• W3174267879 cites W2005242794 @default.
• W3174267879 cites W2006240127 @default.
• W3174267879 cites W2015975580 @default.
• W3174267879 cites W2022282602 @default.
• W3174267879 cites W2045679581 @default.
• W3174267879 cites W2051698830 @default.
• W3174267879 cites W2080922987 @default.
• W3174267879 cites W2110348625 @default.
• W3174267879 cites W2143998263 @default.
• W3174267879 cites W2208820387 @default.
• W3174267879 cites W2286641965 @default.
• W3174267879 cites W2571407918 @default.
• W3174267879 cites W259892396 @default.
• W3174267879 cites W2710158221 @default.
• W3174267879 cites W2760621603 @default.
• W3174267879 cites W277941950 @default.
• W3174267879 cites W2780977442 @default.
• W3174267879 cites W291685320 @default.
• W3174267879 cites W2918752886 @default.
• W3174267879 cites W2974135165 @default.
• W3174267879 cites W2997791226 @default.
• W3174267879 cites W2999871040 @default.
• W3174267879 cites W3015527767 @default.
• W3174267879 cites W3026279449 @default.
• W3174267879 cites W3032963877 @default.
• W3174267879 cites W3049223340 @default.
• W3174267879 cites W3092936742 @default.
• W3174267879 cites W3102140816 @default.
• W3174267879 cites W4244341409 @default.
• W3174267879 doi "https://doi.org/10.1016/j.ijheatmasstransfer.2021.121620" @default.
• W3174267879 hasPublicationYear "2021" @default.
• W3174267879 type Work @default.
• W3174267879 sameAs 3174267879 @default.
• W3174267879 citedByCount "12" @default.
• W3174267879 countsByYear W31742678792021 @default.
• W3174267879 countsByYear W31742678792022 @default.
• W3174267879 countsByYear W31742678792023 @default.
• W3174267879 crossrefType "journal-article" @default.
• W3174267879 hasAuthorship W3174267879A5010765759 @default.
• W3174267879 hasAuthorship W3174267879A5041588764 @default.
• W3174267879 hasAuthorship W3174267879A5045115613 @default.
• W3174267879 hasAuthorship W3174267879A5046088648 @default.
• W3174267879 hasAuthorship W3174267879A5050429633 @default.
• W3174267879 hasConcept C119857082 @default.
• W3174267879 hasConcept C121332964 @default.
• W3174267879 hasConcept C127210992 @default.
• W3174267879 hasConcept C133199616 @default.
• W3174267879 hasConcept C154945302 @default.
• W3174267879 hasConcept C157915830 @default.
• W3174267879 hasConcept C1633027 @default.
• W3174267879 hasConcept C173608175 @default.
• W3174267879 hasConcept C200093464 @default.
• W3174267879 hasConcept C2780092901 @default.
• W3174267879 hasConcept C38349280 @default.
• W3174267879 hasConcept C41008148 @default.
• W3174267879 hasConcept C44154836 @default.
• W3174267879 hasConcept C50644808 @default.
• W3174267879 hasConcept C57879066 @default.
• W3174267879 hasConcept C97355855 @default.
• W3174267879 hasConceptScore W3174267879C119857082 @default.
• W3174267879 hasConceptScore W3174267879C121332964 @default.
• W3174267879 hasConceptScore W3174267879C127210992 @default.
• W3174267879 hasConceptScore W3174267879C133199616 @default.
• W3174267879 hasConceptScore W3174267879C154945302 @default.
• W3174267879 hasConceptScore W3174267879C157915830 @default.
• W3174267879 hasConceptScore W3174267879C1633027 @default.
• W3174267879 hasConceptScore W3174267879C173608175 @default.
• W3174267879 hasConceptScore W3174267879C200093464 @default.
• W3174267879 hasConceptScore W3174267879C2780092901 @default.
• W3174267879 hasConceptScore W3174267879C38349280 @default.
• W3174267879 hasConceptScore W3174267879C41008148 @default.
• W3174267879 hasConceptScore W3174267879C44154836 @default.
• W3174267879 hasConceptScore W3174267879C50644808 @default.
• W3174267879 hasConceptScore W3174267879C57879066 @default.
• W3174267879 hasConceptScore W3174267879C97355855 @default.
• W3174267879 hasFunder F4320321001 @default.
• W3174267879 hasFunder F4320333335 @default.
• W3174267879 hasFunder F4320337016 @default.
• W3174267879 hasLocation W31742678791 @default.
• W3174267879 hasOpenAccess W3174267879 @default.
• W3174267879 hasPrimaryLocation W31742678791 @default.
• W3174267879 hasRelatedWork W1954066390 @default.
• W3174267879 hasRelatedWork W1966193070 @default.
• W3174267879 hasRelatedWork W1989735362 @default.
• W3174267879 hasRelatedWork W2084938750 @default.

• next