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Nekooei, Mohammad Javad
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Aerospace Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Reviewed on Combustion Modelling of Marine Spark-Ignition Engines Nekooei, Mohammad Javad; Koto, Jaswar; Priyanto, A.; Dehghani, Zahra
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 17 No 1 (2015): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v17i1.454

Abstract

This research reviewed combustion modelling of marine sparkignition engine using mass fraction burned based on Wiebe function approach. In the paper, firstly, the cylindrical pressure is discussed and correlated function of engine operation condition. The cylinder pressure signal was constructed as a function of crank angle over an engine operational map. The parameters of the cylindrical pressure model were calibrated with s-curve matching techniques. The objectives of the research was to construct a combustion model on the cylindrical pressure suitable for control oriented model.
Intelligence Fuzzy Logic System to Diagnosis and Control Spark Ignition Engines Nekooei, Mohammad Javad; Pauzi, M.
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 20 No 1 (2015): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v20i1.447

Abstract

Air pollution is one of the important challenging issues these days that researchers have been trying to maintain it in a normal range. The emissions of vehicle engine exhausts are responsible for fifty percent of air pollution. There is a tendency to develop of engine control which works in a simple way. in this paper a simple fuzzy logic (FL) control has been developed which is used for defining engine system faults and control and maintain them in a normal range without use any complicated mathematical equation and any fault sensor.
A New Engine Simulation Structure Model Applied to SI Engine Controlling Nekooei, Mohammad Javad; Koto, J.; Ghani, M.Pauzi; Dehghani, Zahra
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 22 No 1 (2015): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v22i1.442

Abstract

High ratio emissions that outcome from incomplete combustion cause air contamination, poorer the performance of the spark ignition (SI) engine and raise fuel consumption. Because of engine configurations, engine wrong adjustment and engine subsystems, unfortunately completed combustion is not possible with SI engines .As a result of uncompleted combustion a high ratio of CO, HC, NOX and PM harmful emissions such as come into atmosphere. Study has exposed that exact AFR control can successfully decrease emission of dangerous exhaust, such as CO, NOX and unburned HC. To achieved this goal we need to make a correct engine simulation structure which it can be used to controlling AFR. Firstly, the existing engine simulation models and structures will be studied in this paper, where benefits and disadvantages of several simulation models and structures kinds are discussed. After that we will present our new engine simulation structure model.
Application of Hybrid Fuzzy Logic Controller for Controlling AFR Engine Nekooei, Mohammad Javad; Koto, Jaswar
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 41 No 1 (2017): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v41i1.385

Abstract

The Kyoto Protocol (1997) has been a turning point for future economic and environmental policies for both industrialized and developing countries. The vehicle engine manufacturers are continuously working towards reducing fuel consumption and emissions while maintaining optimum performance by keeping the Air to fuel ratio (AFR) as close to the stoichiometric value of 14.7. In the present paper, new simulation model using Matlab Simulink for a SI (Spark-Ignition) engine has been developed that included all engine dynamic models such as dynamic model of the throttle body, a lambda dynamic model, a model of the intake manifold dynamic, and models of engine torque and fuel injection dynamic. Then, to control the AFR in SI engines, new controllers were proposed to maximize fuel economy and minimize exhaust emissions. A hybrid fuzzy logic controller (HFLC) was created by combining a PID control and fuzzy control. However, this model was validated using the results from engine for various constant load operation tests such as 40 Nm, 50 Nm and 60 Nm but this paper only presented operation at 60 Nm. The simulation results founded that the maximum and minimum AFR for convectional look-up and HFLC methods were (16.80, 12.4) and (15.02, 14.4) respectively. Simulation results from HFLC were lower than other methods such as Sliding Mode Control (SMC), Neural Network (NN), Proportional–Integral controller (PI) and Model-based Predictive Control (MPC) extracted from publishing data.
Review: New Engine Simulation Structure Model Applied to SI Engine Nekooei, Mohammad Javad; Koto, Jaswar
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 40 No 1 (2017): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v40i1.387

Abstract

High ratio emissions that outcome from incomplete combustion cause air contamination, poorer the performance of the spark ignition (SI) engine and raise fuel consumption. Uncompleted combustion emitted a high ratio of CO, HC, NOx and PM harmful emissions such as come into atmosphere. This study has reviewed existing engine simulation structures using different methods as s as follows Neural Networks (NN), Sliding Mode Control (SMC), Proportional–Integral (PI) Predictive Control (MPC) and DRNN-based MPC method. The existing engine models were compared with the new engine simulation structure model which was proposed by the authors, using Hybrid Fuzzy Logic Control (HFLC) method in term of AFR. The simulation engine model in Matlab/Simulink using new engine simulation has founded that AFR (15.02, 14.4) which closes to the stoichiometric value of 14.7 compared by using Neural Networks (NN) method, a Sliding Mode Control (SMC) method, a Proportional–Integral (PI) control method, Model Predictive Control (MPC) method and DRNN-based MPC method.
New Engine Simulation Structure Model Applied to SI Engine Nekooei, Mohammad Javad; Koto, Jaswar
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 42 No 1 (2017): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (6465.225 KB) | DOI: 10.36842/jomase.v42i1.185

Abstract

High ratio emissions that outcome from incomplete combustion cause air contamination, poorer the performance of the spark ignition (SI) engine and raise fuel consumption. Uncompleted combustion emitted a high ratio of CO, HC, NOx and PM harmful emissions such as come into atmosphere. This study has reviewed existing engine simulation structures using different methods as s as follows Neural Networks (NN), Sliding Mode Control (SMC), Proportional-Integral (PI) Predictive Control (MPC) and DRNN- based MPC method. The existing engine models were compared with the new engine simulation structure model which was proposed by the authors, using Hybrid Fuzzy Logic Control (HFLC) method in term of AFR. The simulation engine model in Matlab/Simulink using new engine simulation has founded that AFR (15.02, 14.4) which closes to the stoichiometric value of 14.7 compared by using Neural Networks (NN) method, a Sliding Mode Control (SMC) method, a Proportional' Integral (PI) control method, Model Predictive Control (MPC) method and DRNN-based MPC method.
Co-Authors Dehghani, Zahra Ghani, M.Pauzi Koto, J. Koto, Jaswar Pauzi, M. Priyanto, A.