Full Text

Turn on search term navigation

© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

This paper presents a study on the effect of the ratio of biodiesel and injection timing on the performance of diesel engines and their emissions. The research engine is a cylinder engine AVL-5402, simulated by software AVL-Boost. The simulated fuel includes fossil diesel and biodiesel blended with a replacement rate from 0% to 50%, with a simulation mode of 2200 (rev/min), at a rate of a 25%, 50% and 75% load. In this speed range, the engine has the lowest fuel consumption. The parameters to be evaluated are power, fuel consumption and emissions, based on the proportions of blended biodiesel. The results show that there is a relationship between the proportion of blended biodiesel, injection timing and the parameters of the engine. Specifically, the ratio of the biodiesel blend increases, injection timing tends to move closer to the top dead center (TDC), the tendency reduce engine power, fuel consumption increases, the emissions of CO and soot reduces, while NOx increases.

Details

Title
A Study the Effect of Biodiesel Blends and the Injection Timing on Performance and Emissions of Common Rail Diesel Engines
Author
Nguyen Tuan Nghia 1 ; Nguyen, Xuan Khoa 1 ; Cho, Wonjun 2 ; Lim, Ocktaeck 3 

 Faculty of Automobile Technology, HaNoi University of Industry, No. 298, Cau Dien Street, Bac Tu Liem District, Hanoi 100000, Vietnam; [email protected] (N.T.N.); [email protected] (N.X.K.) 
 BIO FRIENDS Inc., HQ 514, 199, Techno 2 Street, Yuseong District, Deajeon 34025, Korea; [email protected] 
 School of Mechanical Engineering, University of Ulsan, San 29, Mugeo 2-dong, Nam-gu, Ulsan 44610, Korea 
First page
242
Publication year
2022
Publication date
2022
Publisher
MDPI AG
e-ISSN
19961073
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2618227716
Copyright
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.