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| taghziadeh, Ahmad; Hosseini, Seyyed Hassan; Keshavarzi , Mohsen; Abbasian Shirazi, Ashkan. |
| This study's main goal was to thoroughly assess the performance and vibration of a six-cylinder engine utilizing diesel-bioethanol fuel mixtures. These blends incorporated bioethanol in ratios below 15% and were created by combining anhydrous ethanol (C2H5OH) with standard diesel fuel in varying proportions. The study employed seven distinct blends to assess engine performance and vibration levels thoroughly. Multi-layered perception (MLP) neural networks were applied namely a feedforward back-propagation neural system. The chosen training algorithm was the Levenberg-Marquardt, while activation functions employed were logsig, tansig, and purelin transferring functions. The study findings revealed that the optimal... |
| Tipo: Info:eu-repo/semantics/article |
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| Ano: 2024 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/9071 |
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