The design and development of a diesel engine electromechanical EGR cooling system based on machine learning-genetic algorithm prediction models to reduce emission and fuel consumption

dc.contributor.author	Kaleli, Aliriza
dc.contributor.author	Akolas, Halil Ibrahim
dc.date.accessioned	16/12/21 12:06
dc.date.available	16/12/21 12:06
dc.identifier.issn	0954-4062
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/9846
dc.identifier.uri	https://doi.org/10.1177/09544062211020045
dc.description.abstract	Data-driven modelling techniques have recently been used in the development of engine design and control systems for defining the engine in-cylinder complex combustion process. The aim of this investigation is to improve exhaust emissions and fuel consump
dc.language.iso	English
dc.publisher	Sage Publıcatıons Ltd
dc.source	Proceedıngs Of The Instıtutıon Of Mechanıcal Engıneers Part C-Journal Of Mechanıcal Engıneerıng Scıence
dc.title	The design and development of a diesel engine electromechanical EGR cooling system based on machine learning-genetic algorithm prediction models to reduce emission and fuel consumption
dc.type	Article; Early Access
dc.identifier.doi	10.1177/09544062211020045
dc.identifier.wos	WOS:000682992600001

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