Machine learning predictions on the output parameters of common rail direct injection engines fueled with ternary blend
This study aims to employ a machine learning algorithm (MLA) to predict Common Rail Direct Injection (CRDI) engine emissions and performance using alternative feedstock. This study started with a diesel-SCOME- Methyl Acetate ternary mix. The engine was tested with fuel injection time (FIT) of 23°, 2...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Association of the Chemical Engineers of Serbia
2025-01-01
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| Series: | Chemical Industry and Chemical Engineering Quarterly |
| Subjects: | |
| Online Access: | https://doiserbia.nb.rs/img/doi/1451-9372/2025/1451-93722400025S.pdf |
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