Investigation of a ternary blend of diesel/ethanol/n-butanol with binary nano additives on combustion and emission: A modeling and optimization approach with artificial neural networks
Yazarlar (1)
Doç. Dr. Muhammed Raşit ATELGE Siirt Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Fuel Processing Technology (Q1) | ||
| Dergi ISSN | 0378-3820 Dergi Bilgileri (2022) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 05-2022 |
| Cilt / Sayı / Sayfa | 229 / 1 / 1–15 | DOI | 10.1016/j.fuproc.2021.107155 |
| Makale Linki | http://dx.doi.org/10.1016/j.fuproc.2021.107155 | ||
| UAK Araştırma Alanları |
Enerji
Yakıtlar ve Yanma
İçten Yanmalı Motorlar
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| Özet |
| The increase in global energy consumption and concerns about fossil fuels depletion are pushing the demand for renewable and clean energy sources. Alcohols are a promising candidate for internal combustion engines as alternative fuels. This study aims to reveal the effect of a ternary blend, which is denominated D80E10nB10, consisting of diesel (80... |
| Anahtar Kelimeler |
| Hydrogen | N-Butanol | Nano additive | Optimization with ANN model | TiO2 and MWCNT |
Science Direct
Investigation of a ternary blend of diesel/ethanol/n-butanol with binary nano additives on combustion and emission: A modeling and optimization approach with artificial neural networks
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 21 |
| Scopus | 26 |