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Cited 10 time in webofscience Cited 11 time in scopus
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Optimization of injection strategy to reduce fuel consumption for stoichiometric diesel combustion

Authors
Kim, DaesikPark, Sungwook
Issue Date
Mar-2012
Publisher
Elsevier BV
Keywords
Optimization of injection strategy; Genetic algorithm; KIVA code; Stoichiometric diesel combustion
Citation
Fuel, v.93, no.1, pp 229 - 237
Pages
9
Indexed
SCI
SCIE
SCOPUS
Journal Title
Fuel
Volume
93
Number
1
Start Page
229
End Page
237
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/27584
DOI
10.1016/j.fuel.2011.08.067
ISSN
0016-2361
1873-7153
Abstract
In the present study, optimization of engine operating conditions was performed to reduce fuel consumption for stoichiometric diesel combustion. Microgenetic algorithms were used, and variations of injection strategy, spray included angle, and initial conditions (such as temperature and pressure) were evaluated. The KIVA code, coupled with the Chemkin chemistry solver, was used for three-dimensional CFD modeling, and the ignition and combustion processes were modeled using a reduced n-heptane mechanism. The KIVA code in use was verified against pressure histories and emissions for stoichiometric diesel combustion obtained experimentally. Optimized engine operating conditions for minimum fuel consumption were found at the 43rd generation. The optimized case includes 50-50% split injection, reduced spray included for reduction of unburned HC in crevices, and lower oxygen concentration to retard combustion phasing. This optimization yielded an 11.8% improvement in fuel consumption, along with simultaneous reductions of soot, NOx, CO, and HC. (C) 2011 Elsevier Ltd. All rights reserved.
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