Prediction of RCCI combustion fueled with CNG and algal biodiesel to sustain efficient diesel engines using machine learning techniques

• Main Authors: Ramachandran, Elumalai, Krishnaiah, Ravi, Venkatesan, Elumalai Perumal, Parida, Satyajeet, Dwarshala, Siva Krishna Reddy, Khan, Sher Afghan, Asif, Mohammad, Linul, Emanoil
• Format: Article
• Language: English; English
• Published: Elsevier Ltd 2023
• Subjects: TJ255 Heat engines
• 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

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...