scholarly journals Numerical investigation of soot mass concentration in compression ignition diesel engine

2016 ◽  
Vol 10 (3) ◽  
pp. 2275-2287
Author(s):  
F. Ibrahim ◽  
◽  
W.M.F. Wan Mahmood ◽  
S. Abdullah ◽  
M.R. Abu Mansor ◽  
...  
Keyword(s):  
Diesel Engine ◽  
Numerical Investigation ◽  
Mass Concentration ◽  
Compression Ignition ◽  
Soot Mass

scholarly journals Numerical investigation on soot particles emission in compression ignition diesel engine by using particulate mimic soot model

2016 ◽  
Vol 90 ◽  
pp. 01071 ◽  
Author(s):  
Fadzli Ibrahim ◽  
Wan Mohd Faizal Wan Mahmood ◽  
Shahrir Abdullah ◽  
Mohd Radzi Abu Mansor
Keyword(s):  
Diesel Engine ◽  
Numerical Investigation ◽  
Compression Ignition ◽  
Soot Particles ◽  
Soot Model

Numerical investigation of the effect of fuel concentration stratification on gasoline compression ignition combustion under low-to-medium load conditions

Fuel ◽  
2021 ◽  
Vol 289 ◽  
pp. 119957
Author(s):  
Yanzhi Zhang ◽  
Zhixia He ◽  
Xianyin Leng ◽  
Wenjun Zhong ◽  
Qian Wang ◽  
...  
Keyword(s):  
Numerical Investigation ◽  
Compression Ignition ◽  
Fuel Concentration ◽  
Compression Ignition Combustion ◽  
Load Conditions

Experimental and numerical investigation of swirl enhancing grooves on the flow and combustion characteristics of a DI diesel engine

Energy ◽  
2016 ◽  
Vol 115 ◽  
pp. 1234-1245 ◽  
Author(s):  
P. Prabhakaran ◽  
P. Ramesh ◽  
C.G. Saravanan ◽  
M. Loganathan ◽  
E. James Gunasekaran
Keyword(s):  
Diesel Engine ◽  
Numerical Investigation ◽  
Combustion Characteristics ◽  
Di Diesel Engine

scholarly journals A Multicomponent Blend as a Diesel Fuel Surrogate for Compression Ignition Engine Applications

2015 ◽  
Vol 137 (11) ◽  
Author(s):  
Yuanjiang Pei ◽  
Marco Mehl ◽  
Wei Liu ◽  
Tianfeng Lu ◽  
William J. Pitz ◽  
...  
Keyword(s):  
Diesel Engine ◽  
Diesel Fuel ◽  
Flow Reactor ◽  
Expert Knowledge ◽  
Combustion Model ◽  
Compression Ignition ◽  
Compression Ignition Engine ◽  
Combined Mechanism ◽  
Fuel Surrogate ◽  
Skeletal Mechanism

A mixture of n-dodecane and m-xylene is investigated as a diesel fuel surrogate for compression ignition (CI) engine applications. Compared to neat n-dodecane, this binary mixture is more representative of diesel fuel because it contains an alkyl-benzene which represents an important chemical class present in diesel fuels. A detailed multicomponent mechanism for n-dodecane and m-xylene was developed by combining a previously developed n-dodecane mechanism with a recently developed mechanism for xylenes. The xylene mechanism is shown to reproduce experimental ignition data from a rapid compression machine (RCM) and shock tube (ST), speciation data from the jet stirred reactor and flame speed data. This combined mechanism was validated by comparing predictions from the model with experimental data for ignition in STs and for reactivity in a flow reactor. The combined mechanism, consisting of 2885 species and 11,754 reactions, was reduced to a skeletal mechanism consisting 163 species and 887 reactions for 3D diesel engine simulations. The mechanism reduction was performed using directed relation graph (DRG) with expert knowledge (DRG-X) and DRG-aided sensitivity analysis (DRGASA) at a fixed fuel composition of 77% of n-dodecane and 23% m-xylene by volume. The sample space for the reduction covered pressure of 1–80 bar, equivalence ratio of 0.5–2.0, and initial temperature of 700–1600 K for ignition. The skeletal mechanism was compared with the detailed mechanism for ignition and flow reactor predictions. Finally, the skeletal mechanism was validated against a spray flame dataset under diesel engine conditions documented on the engine combustion network (ECN) website. These multidimensional simulations were performed using a representative interactive flame (RIF) turbulent combustion model. Encouraging results were obtained compared to the experiments with regard to the predictions of ignition delay and lift-off length at different ambient temperatures.

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