Research of performance on a spark ignition engine fueled by alcohol gasoline blends using artificial neural networks
Yazarlar (3)
Dr. Öğr. Üyesi Murat KAPUSUZ Ondokuz Mayis Üniversitesi, Türkiye
Prof. Dr. Hakan Ozcan Ondokuz Mayis Üniversitesi, Türkiye
Jehad Ahmad Yamin
The University Of Jordan, Ürdün
The University Of Jordan, Ürdün
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Applied Thermal Engineering (Q1) | ||
| Dergi ISSN | 1359-4311 Dergi Bilgileri (2015) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 12-2015 |
| Cilt / Sayı / Sayfa | 91 / 1 / 525–534 | DOI | 10.1016/j.applthermaleng.2015.08.058 |
| Makale Linki | http://linkinghub.elsevier.com/retrieve/pii/S1359431115008546 | ||
| UAK Araştırma Alanları |
Makine Mühendisliği
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| Özet |
| In this paper, we investigate various alcohol–unleaded gasoline mixtures that can be used with no modifications in a spark-ignition engine. The mixtures consisted of 5%, 10% and 15% ethanol, methanol together and separately. Based on the recommendations of the Jordanian Petroleum Company (JoPetrol), total alcohol content should not exceed 15–20% owing to safety and ignition hazards. Optimizations for the use of alcohol were made for the maximum torque, maximum power and minimum specific fuel consumption values. For torque 0.9906, for brake power 0.997, and for brake specific fuel consumption 0.9312 regression values for tests have been obtained from models generated by the neural network. According to the modeling and optimizations, use of fuel mixture containing 11% methanol–1% ethanol for performance, and fuel mixture containing 2% methanol for BSFC were found to have better results … |
| Anahtar Kelimeler |
| Artificial neural network | Ethanol | Methanol | Modeling | Spark ignition engine |
Science Direct
Research of performance on a spark ignition engine fueled by alcohol gasoline blends using artificial neural networks
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 71 |
| Scopus | 82 |
| Google Scholar | 99 |