Prediction of RCCI combustion fueled with CNG and algal biodiesel to sustain efficient diesel engines using machine learning techniques
This study used microalgae biodiesel as a high-reactive fuel directly injected along with various Compressed Natural Gas (CNG) energy shares (10%, 20%, 30%, and 40%) as low-reactive fuel injected into the intake system. The experiments are performed in a single-cylinder, water-cooled, 1500 rpm, 3.5...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | en en |
| Published: |
Elsevier Ltd
2023
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/107545/7/107545_Prediction%20of%20RCCI%20combustion%20fueled%20with%20CNG.pdf http://irep.iium.edu.my/107545/13/107545_%20Prediction%20of%20RCCI%20combustion%20fueled%20with%20CNG%20and%20algal%20biodiesel%20to%20sustain%20efficient%20diesel%20engines%20using%20machine%20learning%20techniques%20_%20SCOPUS.pdf http://irep.iium.edu.my/107545/ https://www.sciencedirect.com/science/article/pii/S2214157X2300936X?via%3Dihub https://doi.org/10.1016/j.csite.2023.103630 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!
