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Erschienen in: Neural Computing and Applications 6/2016

01.08.2016 | Original Article

Investigations of fin geometry on heat exchanger performance by simulation and optimization methods for diesel exhaust application

verfasst von: M. Hatami, D. D. Ganji, M. Gorji-Bandpy

Erschienen in: Neural Computing and Applications | Ausgabe 6/2016

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Abstract

In this paper, three cases of heat exchangers (HEXs) in the exhaust of a diesel engine are modeled numerically for improving the exergy recovery amount. Simple double pipes, longitudinal and circular finned-tube HEXs are modeled to study the fin effect in waste heat recovery amount. It is tried to compare the circular and longitudinal fin’s effect (with the same surface area) on exergy recovery and pressure drop in the exhaust. As a main outcome, results show that circular fins cannot enhance exergy recovery due to trapping the gases between them and producing a high pressure drop compared to longitudinal fins. Also, L16 Taguchi array is applied to find the most important parameters in longitudinal fins to find the optimum design for this heat exchanger. Finally, a multi-objective optimization by central composite design is applied to find the optimum dimensions of proposed HEX in different engine loads.

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Metadaten
Titel
Investigations of fin geometry on heat exchanger performance by simulation and optimization methods for diesel exhaust application
verfasst von
M. Hatami
D. D. Ganji
M. Gorji-Bandpy
Publikationsdatum
01.08.2016
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 6/2016
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-015-1973-1

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