Gasohol Engine Performance with Various Ignition Timing

Nanlohy, Hendry Y.; Arief, Suyatno; Riupassa, Helen; Mini, Martina; Trismawati, Trismawati; Panithasan, Mebin Samuel

doi:10.17977/um016v6i12022p048

Cited by 6 publications

(5 citation statements)

References 23 publications

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“…This shows that at a greater percentage of valve opening, the incoming electricity flow becomes greater, so that the applied voltage becomes lower. This analysis is in accordance with previous studies on the effect of valve opening and ignition degree, and discussed from another perspective [16], [17].…”

Section: Resultssupporting

confidence: 92%

Performance Analysis of the Electric Trolley of Oxygen Cylinders Based on the Road Slope

Oei,

Gultom,

Ranteallo

et al. 2023

RTR

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The demand for efficient distribution of oxygen cylinders at Abepura Regional General Hospital (RSUD Abepura) has been steadily increasing due to the growing needs of staff members and patients who expect high-quality service within the hospital premises. In response to this demand, this study aims to propose a transportation system that is not only automated but also time-saving, with the ultimate goal of enhancing medical services in a more efficient, eco-friendly, and safe manner. One of the main challenges faced in the distribution process is the hilly terrain surrounding RSUD Abepura. The presence of these hills makes it difficult to manually distribute the heavy 72 kg gas cylinders, which is the current method employed at the hospital. To overcome this challenge, this research suggests implementing an innovative solution—an electric trolley—that can effectively facilitate the distribution and flow of oxygen cylinders at RSUD Abepura. The findings of this study conclusively demonstrate that the electric trolley is not only a suitable but also a convenient solution for the operators and medical staff involved in the distribution process. By utilizing the electric trolley, they can distribute oxygen cylinders without facing any hindrances posed by the uphill roads, ultimately resulting in significantly improved time efficiency and service effectiveness at RSUD Abepura.

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Section: Resultssupporting

confidence: 92%

Performance Analysis of the Electric Trolley of Oxygen Cylinders Based on the Road Slope

Oei,

Gultom,

Ranteallo

et al. 2023

RTR

View full text Add to dashboard Cite

show abstract

“…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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“…The sigmoid function is a widely adopted transfer function in many applications. In this study, the ANN model employs the rectified linear unit function, which is represented in Equation (2). One of the major advantages of artificial neural networks is their capacity to learn and the availability of various learning algorithms.…”

Section: Methods (Artificial Neural Network)mentioning

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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Gasohol Engine Performance with Various Ignition Timing

Cited by 6 publications

References 23 publications

Performance Analysis of the Electric Trolley of Oxygen Cylinders Based on the Road Slope

Performance Analysis of the Electric Trolley of Oxygen Cylinders Based on the Road Slope

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

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