One-Dimensional Simulation Using Port Water Injection for a Spark Ignition Engine

Ling, C. H.; Abas, Mohd Azman

doi:10.15282/ijame.15.4.2018.7.0444

Cited by 8 publications

(3 citation statements)

References 11 publications

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“…Each year, approximately 30 Gt of carbon dioxide (CO2) is emitted into the world [3], and the trend is also increasing. Green house gases (GHG) emission causes the ozone layer to thin [4,5]. Engine emissions also impact the atmosphere, ecosphere, and hydrosphere [6][7][8][9] and this situation adds to global warming.…”

Section: Introductionmentioning

confidence: 99%

A Prediction of Graphene Nanoplatelets Addition Effects on Diesel Engine Emissions

Daud,

Mohd Adnin Hamidi,

Rizalman Mamat

et al. 2023

Int. J. Automot. Mech. Eng.

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There are numerous methods for reducing diesel exhaust emissions. Engine modifications, combustion optimization, and exhaust gas treatment are all popular methods. Another proven method uses fuel additives, such as zinc oxide, copper oxide, and magnesium oxide. Those additives are proven to reduce measured emissions such as carbon monoxide and nitrogen oxide successfully; however, there are still concerns about the toxicity of the emissions, which could harm human health. As a result, carbon nanoparticles have been introduced as a fuel additive due to their low risk to human health. Because of advancements in graphene research, a few researchers began investigating the implications of using graphene nanoplatelets as a fuel additive. The study’s findings appeared to be encouraging. However, no additional research has been identified to forecast the impact on engine emissions other than analyzing the effects of graphene additives on engine emissions. The goal of this study is to forecast the effects of graphene nanoplatelets on diesel engine emissions. The emission parameters of the trial were carbon monoxide, carbon dioxide and nitrogen oxide. The factors considered in the experiment are speed, load, and blend concentration. Response surface methodology and contour plots were generated using Minitab software. The results show that the prediction model’s accuracy is within 10% of the experimental data.

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Section: Introductionmentioning

confidence: 99%

A Prediction of Graphene Nanoplatelets Addition Effects on Diesel Engine Emissions

Daud,

Mohd Adnin Hamidi,

Rizalman Mamat

et al. 2023

Int. J. Automot. Mech. Eng.

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show abstract

“…AVL BOOST is a fully integrated ICE simulation software which can simulate an entire ICE including all the parts of the engine and also be coupled with external software programs or third-party tools to study specific parts (AVL List GmbH) [2]. Ling [3] stated that it is a 1D engine simulation software which can simulate a wide variety of engines with different type of ignition systems including compression ignition (CI) and spark ignition (SI). It can basically solve any engine configuration by performing thermodynamics and internal flow analysis throughout the simulation.…”

Section: Introductionmentioning

confidence: 99%

1-D Engine Modeling of 4-Cylinder Turbocharged Gasoline Engine

Ibrahim,

Soon,

Kim

et al. 2023

JTSE

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This project is conducted to explore one-dimensional (1D) simulation for a 4-cylinder gasoline engine. The simulation and computational development of modeling for the study are conducted by using the commercial Computational Fluid Dynamics (CFD) of AVL BOOST software. The engine model was developed corresponding to a Proton 1.6-litre CamPro 4-cylinder turbocharged gasoline engine including the real engine geometry and parameters. The engine model is based on 1D equation of the gas exchange process, progressive engine combustion process, isentropic compression and expansion, and accounting for the heat transfer as well as the frictional losses. The aim of the study is to predict the steady-state performance of the engine model at full and partload conditions from 1000 to 5000 rpm by using engine cycle simulation. In this study, three parameter tuning works have been performed, which are combustion model tuning, intake manifold temperature tuning and turbocharger’s scaling factor tuning. In addition, the comparison and validation were done for the output performance parameters based on the provided experimental data. Overall, the engine performance behavior have been observed to determine how accurate AVL BOOST software can evaluate engine performance compare to experiment conducted on the real engine. The most accurate validation of the engine performance parameters have been achieved by manifold absolute pressure (MAP) with 3.14% error. However, by comparing with experimental data, major discrepancy is noticeable on several engine performance parameters. From this study, the results showed that the engine model is able to simulate engine’s combustion process and produce reasonable prediction.

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“…Water injection is proven to increase the engine performance especially for forced induction engines [4]- [7]. Among the most common engine characteristics to be positively impacted are the improvement of brake torque and decrease of emissions in the engine [8]. Water injection is proven to be the most effective engine knocking reduction media [6], [9], [10].…”

Section: Introductionmentioning

confidence: 99%

Water injection control modelling by using model-based calibration

Kamaludin

Mamat

Mohamed

et al. 2022

IJRA

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<p><span lang="EN-US">This study presents the development of water injection system for turbocharged spark ignition engine. The water injection control system is built for turbocharged spark ignition (SI) engine where water was injected at the intake port just before the throttle body. The data was collected from the simulation through the GT-Power software to determine the optimized injection output for the engine. Single-stage statistical engine responses and boundary models were established by using Model-Based Calibration Toolbox. Control system was built using Simulink and simulation tests were conducted based on the speed and throttle position as the variables. The highest value of brake torque achieved in the GT-Power simulation was taken as the base value to determine the injection amount. The mean value of the predicted injection was recorded at 12.29 g/s while the variance of the predicted injection to the optimized injection was below 1%. The control system was simulated with the set predicted injection and the standard deviation of the predicted injection was 1.18. The control system simulation recorded a low percentage of 0.04% variance to the optimized injection with the pulse width modulation signal. The control system is ideal to be constructed and tested on actual engine test bed.</span></p>

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One-Dimensional Simulation Using Port Water Injection for a Spark Ignition Engine

Cited by 8 publications

References 11 publications

A Prediction of Graphene Nanoplatelets Addition Effects on Diesel Engine Emissions

A Prediction of Graphene Nanoplatelets Addition Effects on Diesel Engine Emissions

1-D Engine Modeling of 4-Cylinder Turbocharged Gasoline Engine

Water injection control modelling by using model-based calibration

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