Yanıt Yüzey Metodolojisi Kullanılarak 1-Propanol/Benzin Yakıt Karışımlarının Egzoz Emisyonlarına Etkisinin Araştırılması

Gökmen, Mehmet Selman; Doğan, Ibrahim; Aydoğan, Hasan

doi:10.31590/ejosat.898563

Cited by 2 publications

(2 citation statements)

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“…While alternative fuels are used in a special way in systems that burn a single fuel, gasoline, which is used as current fuel, can be used as a mixture with other fuels, including LPG or diesel. Oxygen content of gasoline fuel can be increased by using 1-Propanol in order to provide better combustion and lower emission values [1], [2]. 1-Propanol contains three carbons in its structure and is defined by the formula 𝐶𝐻3𝐻7𝑂𝐻 [2], [3].…”

Section: Introductionmentioning

confidence: 99%

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Using Machine Learning Methods to Predict the Effect of Alternative Fuel Mixtures on Exhaust Emissions

BİLBAN¹,

Aydoğan²

2022

European Journal of Science and Technology

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Machine learning is a science that deals with the design and development processes of algorithms that enable data-based learning. Machine learning methods try to find the most suitable model for new data prediction processes by using the past data. In this study, the data obtained from the engine trials with fuel mixtures of 5%, 10%, 15% by volume using 1-Propanol, 2-Propanol, AVGAS and gasoline fuel were used. Obtained data were compared with 100% gasoline values. In the study, a 4-cylinder engine with direct injection and turbocharging was used. With the obtained measurement results, a database was created to be used in machine learning. With the created database, estimation processes were carried out on ANN, GBA, SVM and AB machine learning models. At the end of the study, it was found that the most suitable model for the estimation of CO, CO2, HC, O2 values was ANN with an R 2 value of 0.9999. For the NO value, it was determined that the AB method was used with an R 2 value of 0.9996. In the estimation process of the CO value, GBA and AB methods are other machine learning methods that can be used as they have a higher value than 0.99 R 2 . CO2, HC and O2, and in the output value estimation process, GBA and AB are other methods that can be used instead of ANN as they have a higher value than 0.99 R 2 . It has been found that there is another machine learning method that can be used for NO value estimation, with an AB 0.99 R 2 value.

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Section: Introductionmentioning

confidence: 99%

“…Oxygen content of gasoline fuel can be increased by using 1-Propanol in order to provide better combustion and lower emission values [1], [2]. 1-Propanol contains three carbons in its structure and is defined by the formula 𝐶𝐻3𝐻7𝑂𝐻 [2], [3]. OH groups in its structure increase the oxygen content of gasoline [4].…”

Section: Introductionmentioning

confidence: 99%