Simulation of predictive kinetic combustion of single cylinder HCCI engine

Veza, Ibham; Said, Mohd Farid Muhamad; Latiff, Zulkarnain Abdul; Hasan, Mohd Faizal; Jalal, Rifqi Irzuan Abdul; Ibrahim, Nik Mohd Izual Nik

doi:10.1063/1.5085960

Cited by 17 publications

(6 citation statements)

References 23 publications

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“…Regulations on PM emission are imposed stricter in diesel engines [120][121][122]. In gasoline engines, however, laws and protocols have not been set up for PM emission.…”

Section: Particulate Matter (Pm) Emissionmentioning

confidence: 99%

Improved Performance, Combustion and Emissions of SI Engine Fuelled with Butanol: A Review

Veza¹,

Said²,

Latiff³

2020

IJAME

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Several studies on ethanol as a biofuel have been comprehensively carried out. Today, a growing interest in longer chain alcohols has emerged due to their favourable physical and thermodynamic properties. Butanol or butyl alcohol with 4-carbon structure (C4H9OH) is a more promising biofuel as it outweighs methanol and ethanol in several ways. The production cost of butanol has been gradually reduced, and rapid progress in the development of its production technology has allowed butanol to be produced more effectively. However, studies on the effect of butanol on gasoline or spark ignition (SI) engines are not as comprehensive as the abundant research of ethanol. This paper highlights recent novelty and contribution of butanol addition in SI engine. Results of new approaches on the engine’s performance, combustion and emission characteristics are summarised. Reviews from this paper suggest that there are some gaps in the addition of butanol found in the literature. Thus, several encounters and forthcoming research directions are outlined in the final section of this review article, highlighting several possible contributions that have not yet been carried out using butanol as a biofuel in a gasoline engine.

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“…Regulations on PM emission are imposed stricter in diesel engines [120][121][122]. In gasoline engines, however, laws and protocols have not been set up for PM emission.…”

Section: Particulate Matter (Pm) Emissionmentioning

confidence: 99%

Improved Performance, Combustion and Emissions of SI Engine Fuelled with Butanol: A Review

Veza¹,

Said²,

Latiff³

2020

IJAME

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“…Despite the emerging trend of electric vehicles [1], [2], the internal combustion engine (ICE) remains the most dominant power engine due to its mature technology [3]- [6]. However, it is important to note that ICE needs fuel from fossil hydrocarbons that are rare and not available in large amounts, making it costly to produce [7].…”

Section: Introductionmentioning

confidence: 99%

Comparison of Various Prediction Model for Biodiesel Cetane Number using Cascade-Forward Neural Network

Rahaju

Hananto

Paristiawan

et al. 2023

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Cetane number (CN) is one of the important fuel properties of diesel fuels. It is a measurement of the ignition quality of diesel fuel. Numerous studies have been published to predict the CN of biodiesels. More recently, the utilization of soft computing methods such as artificial neural networks (ANN) has received considerable attention as a prediction tool. However, most studies in the use of ANN for estimating the CN of biodiesels have only used one algorithm to train a small number of datasets. This study aims to predict the CN of 63 biodiesels based on the fatty acid methyl esters (FAME) composition by developing an ANN model that was trained with 10 different algorithms. To the best of our knowledge, this is the first study to predict the CN of biodiesels using numerous ANN training algorithms utilizing sizeable datasets. Results revealed that the ANN model trained with Levenberg-Marquardt gave the highest prediction accuracy. LM algorithm successfully predicted the CN of biodiesels with the highest correlation and determination coefficient (R = 0.9615, R2 = 0.9245) as well as the lowest errors (MAD = 2.0804, RMSE = 3.1541, and MAPE = 4.2971). Hence, the Cascade neural network trained with the LM algorithm could be considered a promising alternative to the empirical correlations for predicting biodiesel’s CN.

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“…Fossil fuels are considered a non-renewable energy source [22]. Fossil fuel price changes according to world political and economic problems and may be used as a mean of political pressure on any country [23,24]. Emissions from fossil-fueled engine have a harmful environmental effect [25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Effect of CuO Nanoparticles on Performance and Emissions Behaviors of CI Engine Fueled with Biodiesel-Diesel Fuel Blends

Elkelawy

elhamid

Bastawissi

et al. 2022

Journal of Engineering Research

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Recently the world has a very important need for replacement fossil fuel with renewable sources of energy. Greenhouse effect is considered one of bad effects of fossil fuels, which causes increase of global temperature. Biodiesel is one of fossil fuel alternatives, which can be produced from many organic sources. Scientists are searching for adding nanomaterials to fueling system, which can modify fuel characteristic in compression champers. In this study diesel fuel will be replaced with blends of diesel and biodiesel produced from waste cooking oil (WCO) is created using a catalytic transesterification reaction (CTR). With the addition of a low concentration of alcohol over the period of an hour at a reaction temperature of 65 °C, (CTR) converts (WCO) to methyl esters. Blends consisting of (40 % diesel, 60 % biodiesel and CuO nano-martial with different concentration) will be prepared for fueling direct injection engine four-stroke. The engine will be run at 1400 rpm with natural aspiration under various loads. Using blends of (pure diesel, B40 [consist of 60 % biodiesel and 40 % diesel], 50b40 [consist of 60 % biodiesel, 40 % diesel and 50 mg CuO], 100B40 [consist of 60 % biodiesel, 40 % diesel and 100 mg CuO], 150 [consist of 60 % biodiesel, 40 % diesel and 150 mg CuO] and pure diesel). On engine performance and emissions, the impact of using copper oxide has been studied. The results of the experiment demonstrate that diesel engines can run on various mixtures of fuel, biodiesel, and CuO nano-material under the same operating conditions. The obtained data indicates that a 10% increase in brake thermal efficiency was noted, decrease in exhaust temperature with 11.6 % and decrease in brake specific fuel consumption with 6.66 %.

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Simulation of predictive kinetic combustion of single cylinder HCCI engine

Cited by 17 publications

References 23 publications

Improved Performance, Combustion and Emissions of SI Engine Fuelled with Butanol: A Review

Improved Performance, Combustion and Emissions of SI Engine Fuelled with Butanol: A Review

Comparison of Various Prediction Model for Biodiesel Cetane Number using Cascade-Forward Neural Network

Effect of CuO Nanoparticles on Performance and Emissions Behaviors of CI Engine Fueled with Biodiesel-Diesel Fuel Blends

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