Characteristics of SI engine fueled with BE50-Isooctane blends with different ignition timings

Suyatno, Suyatno; Riupassa, Helen; Marianingsih, Susi; Nanlohy, Hendry Y.

doi:10.1016/j.heliyon.2023.e12922

Cited by 12 publications

(11 citation statements)

References 54 publications

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“…The delocalized electrons create a magnetic induced field that can produce attractive interactions between the fuel molecules and potentially change the geometric design of the compounds next to them. Changes in the carbon chain's geometrical structure increase the fuel molecules' reactivity so that they are flammable [28]. Moreover, it is due to several things, including; the distance between the carbon chains and the van der Waals bonds weakening so that the viscosity decreases [29].…”

Section: Introductionmentioning

confidence: 99%

Effects of Eugenol and Cineol Compound on Diffusion Burning Rate Characteristics of Crude Coconut Oil Droplet

Riupassa

Suyatno

Nanlohy

et al. 2023

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The burning rate of coconut oil droplets has been investigated experimentally by adding bio-additives of clove oil and eucalyptus oil. Tests were carried out with single droplets suspended on thermocouples at room atmospheric pressure, and room temperature and ignited with a hot wire. The addition of clove oil and eucalyptus oil as bio-additives into coconut oil was 100 ppm and 300 ppm, respectively. The droplet combustion method was chosen to increase the contact area between the air and fuel so that the reactivity of the fuel molecules increases. The results showed that the eugenol compounds contained in clove oil and cineol compounds in eucalyptus oil were both aromatic, and had an unsymmetrical carbon chain geometry structure. Furthermore, this factor can potentially accelerate the occurrence of effective collisions between fuel molecules. Therefore the fuel is combustible, as evidenced by the increased burning rate, where the results show that without bio-additives, the burning rate of crude coconut oil (CCO) is about 0.7 seconds. These results are 0.15 to 0.2 seconds slower than CCO with bio-additive, which is around 0.55 to 0.6 seconds. Moreover, from the observations, it was found that the highest burning rate was achieved in both bio-additives with a concentration of 300 ppm.

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Section: Introductionmentioning

confidence: 99%

Effects of Eugenol and Cineol Compound on Diffusion Burning Rate Characteristics of Crude Coconut Oil Droplet

Riupassa

Suyatno

Nanlohy

et al. 2023

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“…In the output layer, the network generates the final output by processing data from the hidden layer, which is then sent to an external destination. The sum function calculates the net input of a cell, and the addition function used in this research is expressed in Equation (1).…”

Section: Methods (Artificial Neural Network)mentioning

confidence: 99%

“…The highly efficient use of bioethanol in spark ignition engines (SIE) is attributed to its low sulfur content and flammable properties, rendering it a viable alternative fuel [1]- [3]. Therefore, numerous research efforts have been undertaken to develop suitable models and configurations for the fuel system and the spark ignition engine (SIE) using bioethanol.…”

Section: Introductionmentioning

confidence: 99%

Artificial Neural Network-Based Modeling of Performance Spark Ignition Engine Fuelled with Bioethanol and Gasoline

Marianingsih,

Mar’i,

Nanlohy

2023

JMEST

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Machine learning technology can distinguish the relationship between engine characteristics and performances. Therefore, the goal of the present work is to predict the performance parameters of a single-cylinder 4-stroke gasoline engine at different ignition timings using a blended mixture of gasoline and bioethanol by an artificial neural network (ANN). Experimental data for training and testing in the proposed ANN was obtained at a dynamic speed and full load condition. An ANN model was developed based on standard Back-Propagation algorithm for the spark ignition engine. Multi-layer perception network (MLP) was used for non-linear mapping between the input and output parameters. An optimizer in the family of quasi-Newton methods (lbfgs) and the rectified linear unit function were used to assess the percentage error between the desired and the predicted values. The network input parameters are engine speed, fuel, and ignition timing. Furthermore, torque, power, specific fuel consumption (SFC), thermal efficiency (ηth), and energy consumption (EC) are taken as output parameters. The results show that ANN is the proper method for predicting SIE performance because it has accurate prediction results that are very similar to experimental results. Moreover, from the observation results, the ANN model can predict the engine performance quite well with correlation coefficient (R)=0.962139 and MSE=0.003967 for data testing.

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“…It even has the potential to generate a magnetic field, thereby increasing the reactivity of bio-graphene molecules [32]. Moreover, in the presence of the OH group, it accelerates the hydrolysis process in the CCO triglyceride chain and increases hydrogen production [33]. In addition, when activated carbon is at nano size, its aromatic ring triggers it's natural properties, namely excitation and electron transfer [34].…”

Section: Introductionmentioning

confidence: 99%

Characterizing of Nano Activated Bio-Carbon of Sago Waste as a Homogeneous Combustion Catalyst

Nanlohy,

Riupassa,

Setiyo

2024

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Alternative fuels were developed by blending crude coconut oil and bio-carbon nanoparticles. Bio-carbon, derived from sago waste via pyrolysis and ground using a ball mill, underwent FTIR testing to assess its energy absorption capabilities. SEM analysis was conducted to examine the surface morphology of bio-catalyst with and without crude coconut oil. The findings indicate that incorporating bio-catalyst can enhance mechanical properties, facilitating rapid heat absorption, as evidenced by reduced flashpoint and viscosity. In addition, the results show an increase in fuel mass, broadening of molecular contacts, increased reactivity, and increased heat absorption for easier ignition. This phenomenon indicates that bio-carbon of sago waste have great potential for biofuel use as a homogeneous combustion catalyst.

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Characteristics of SI engine fueled with BE50-Isooctane blends with different ignition timings

Cited by 12 publications

References 54 publications

Effects of Eugenol and Cineol Compound on Diffusion Burning Rate Characteristics of Crude Coconut Oil Droplet

Effects of Eugenol and Cineol Compound on Diffusion Burning Rate Characteristics of Crude Coconut Oil Droplet

Artificial Neural Network-Based Modeling of Performance Spark Ignition Engine Fuelled with Bioethanol and Gasoline

Characterizing of Nano Activated Bio-Carbon of Sago Waste as a Homogeneous Combustion Catalyst

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