FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386491495> ?p ?o ?g. }

• W4386491495 endingPage "124653" @default.
• W4386491495 startingPage "124653" @default.
• W4386491495 abstract "This study is based on gray-box modeling for the prediction of optimum mass flow rates of inlet streams of a Plate and Fin Heat Exchanger under uncertainty. A first principle model of the Plate and Fin Heat Exchanger was developed in Aspen Exchanger Design and Rating. Genetic algorithm was integrated with the first principle model to achieve the highest possible exit temperature of the cold process stream under uncertainty. A dataset of uncertain process conditions and their corresponding optimum inlet flow rates derived through the first principle-genetic algorithm integration was used to develop an artificial neural networks model. The artificial neural networks model was then integrated with the first principle model by replacing the genetic algorithm to form a novel gray-box framework. The proposed gray box model, i.e., artificial neural networks and first principle integration, achieved a higher effectiveness and higher outlet temperature than those derived through the straight run first principle model. The performance of the gray box framework was also comparable to the first principle integrated genetic algorithm approach and significantly minimized the computation time needed for estimating the optimum process conditions. First principle integrated genetic algorithm approach enhanced the effectiveness of the straight run model by 3.05%. Performance of the proposed gray-box model was comparable to the integrated framework of the genetic algorithm with the first principle model but was significantly faster. The developed artificial neural networks model was employed as a surrogate in Sobol and FAST sensitivity analysis framework to identify the impact of input variables on output variables. The proposed gray box based method enhanced the capability of the plate and fin heat exchanger to recover energy from the process stream and its robustness to cope with uncertainty. The proposed approach is suitable for real-time application and would contribute to laying a foundation for petroleum refinery 4.0." @default.
• W4386491495 created "2023-09-07" @default.
• W4386491495 creator A5000065630 @default.
• W4386491495 creator A5013743911 @default.
• W4386491495 creator A5028099813 @default.
• W4386491495 creator A5034630360 @default.
• W4386491495 creator A5062242517 @default.
• W4386491495 creator A5065952517 @default.
• W4386491495 creator A5091655446 @default.
• W4386491495 date "2023-12-01" @default.
• W4386491495 modified "2023-10-18" @default.
• W4386491495 title "Artificial intelligence based prediction of optimum operating conditions of a plate and fin heat exchanger under uncertainty: A gray-box approach" @default.
• W4386491495 cites W1964666800 @default.
• W4386491495 cites W1968060557 @default.
• W4386491495 cites W1981488825 @default.
• W4386491495 cites W1991382759 @default.
• W4386491495 cites W1992012920 @default.
• W4386491495 cites W2002016471 @default.
• W4386491495 cites W2025006068 @default.
• W4386491495 cites W2046357950 @default.
• W4386491495 cites W2060833676 @default.
• W4386491495 cites W2066139565 @default.
• W4386491495 cites W2076461701 @default.
• W4386491495 cites W2088078417 @default.
• W4386491495 cites W2101589741 @default.
• W4386491495 cites W2104417457 @default.
• W4386491495 cites W2107480460 @default.
• W4386491495 cites W2131344424 @default.
• W4386491495 cites W2147806079 @default.
• W4386491495 cites W2166667973 @default.
• W4386491495 cites W2344279130 @default.
• W4386491495 cites W2560486161 @default.
• W4386491495 cites W2883480083 @default.
• W4386491495 cites W2884940841 @default.
• W4386491495 cites W2885441463 @default.
• W4386491495 cites W2888743504 @default.
• W4386491495 cites W2891479980 @default.
• W4386491495 cites W2899382223 @default.
• W4386491495 cites W2959881986 @default.
• W4386491495 cites W2974000087 @default.
• W4386491495 cites W2988916388 @default.
• W4386491495 cites W2990787725 @default.
• W4386491495 cites W3008207333 @default.
• W4386491495 cites W3090636786 @default.
• W4386491495 cites W3119150808 @default.
• W4386491495 cites W3125221097 @default.
• W4386491495 cites W3190276905 @default.
• W4386491495 cites W4220972388 @default.
• W4386491495 cites W4225159432 @default.
• W4386491495 cites W4283074259 @default.
• W4386491495 cites W4295914155 @default.
• W4386491495 cites W4297231301 @default.
• W4386491495 cites W4307930433 @default.
• W4386491495 doi "https://doi.org/10.1016/j.ijheatmasstransfer.2023.124653" @default.
• W4386491495 hasPublicationYear "2023" @default.
• W4386491495 type Work @default.
• W4386491495 citedByCount "0" @default.
• W4386491495 crossrefType "journal-article" @default.
• W4386491495 hasAuthorship W4386491495A5000065630 @default.
• W4386491495 hasAuthorship W4386491495A5013743911 @default.
• W4386491495 hasAuthorship W4386491495A5028099813 @default.
• W4386491495 hasAuthorship W4386491495A5034630360 @default.
• W4386491495 hasAuthorship W4386491495A5062242517 @default.
• W4386491495 hasAuthorship W4386491495A5065952517 @default.
• W4386491495 hasAuthorship W4386491495A5091655446 @default.
• W4386491495 hasConcept C107706546 @default.
• W4386491495 hasConcept C119857082 @default.
• W4386491495 hasConcept C126255220 @default.
• W4386491495 hasConcept C126838900 @default.
• W4386491495 hasConcept C127413603 @default.
• W4386491495 hasConcept C131675550 @default.
• W4386491495 hasConcept C154945302 @default.
• W4386491495 hasConcept C166275286 @default.
• W4386491495 hasConcept C21200559 @default.
• W4386491495 hasConcept C24326235 @default.
• W4386491495 hasConcept C33923547 @default.
• W4386491495 hasConcept C41008148 @default.
• W4386491495 hasConcept C49740808 @default.
• W4386491495 hasConcept C50644808 @default.
• W4386491495 hasConcept C71924100 @default.
• W4386491495 hasConcept C78519656 @default.
• W4386491495 hasConcept C8880873 @default.
• W4386491495 hasConcept C91721477 @default.
• W4386491495 hasConceptScore W4386491495C107706546 @default.
• W4386491495 hasConceptScore W4386491495C119857082 @default.
• W4386491495 hasConceptScore W4386491495C126255220 @default.
• W4386491495 hasConceptScore W4386491495C126838900 @default.
• W4386491495 hasConceptScore W4386491495C127413603 @default.
• W4386491495 hasConceptScore W4386491495C131675550 @default.
• W4386491495 hasConceptScore W4386491495C154945302 @default.
• W4386491495 hasConceptScore W4386491495C166275286 @default.
• W4386491495 hasConceptScore W4386491495C21200559 @default.
• W4386491495 hasConceptScore W4386491495C24326235 @default.
• W4386491495 hasConceptScore W4386491495C33923547 @default.
• W4386491495 hasConceptScore W4386491495C41008148 @default.
• W4386491495 hasConceptScore W4386491495C49740808 @default.
• W4386491495 hasConceptScore W4386491495C50644808 @default.
• W4386491495 hasConceptScore W4386491495C71924100 @default.

• next