One of the most important exhaust emissions in diesel engines is nitrogen ox-ides (NOX). The most effective method in reducing NOX emissions is Selective Catalytic Reduction (SCR) systems. Although it has been used in light and heavy-duty vehicles in Turkey for about 15 years, it has become used in all die-sel motor vehicles, including cars as of 2020 due to the changing emission regu-lations. In the SCR system, nitrogen oxide emissions are reduced to nitrogen and water by injection of the diesel exhaust fluid (DEF) to the catalytic reactor. In this study, the SCR system was installed in a single-cylinder diesel engine and the DEF injector characteristic was extracted and NOx conversion efficiency was examined in various injection quantities. The aim of this study is to provide the best NOx conversion by finding the optimum injection amount and to reduce the accumulation of urea in the system by obtaining minimum DEF consumption. In experimental studies, NOx conversion was examined according to the DEF con-sumed in various injection amounts of 40, 80, 160, 240, 320, 400 and 560 mg/s. In order to determine the minimum DEF and maximum NOx percentage reduc-tion, the reduction % in NOx emission was proportioned by the DEF injector mass flow rate (mg/s). The highest result was obtained with a value of 0.38 with 40 mg/s injection.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.