Artificial intelligence based-prediction of energy efficiency and tailpipe emissions of soybean methyl ester fuelled CI engine under variable compression ratios-Reference-Cited by-同舟云学术

Artificial intelligence based-prediction of energy efficiency and tailpipe emissions of soybean methyl ester fuelled CI engine under variable compression ratios

Published:2024-05 Issue: Volume:294 Page:130861
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Rajak Upendra,Ağbulut Ümit^ORCID,Dasore Abhishek^ORCID,Verma Tikendra Nath

Publisher

Elsevier BV

Reference39 articles.

1. Combustion investigation of waste cooking oil (WCO) with varying compression ratio in a single cylinder CI engine;Kumar;Fuel,2021

2. Experimental investigation of the effect of hydrogen ratio on engine performance and emissions in a compression ignition single cylinder engine with electronically controlled hydrogen-diesel dual fuel system;Gu;Int J Hydrogen Energy,2023

3. Effects of different compression ratios and spark timings on performance and emissions of a two-wheeler with 30 % ethanol-gasoline blend (E30);Sakthivel;Fuel,2020

4. Simulation study on effects of EGR ratio and compression ratio on combustion and emission characteristics of PODE/methanol RCCI engine;Wang;Fuel,2023

5. Rajak U., Agbulut A., Veza I., Dasore A., Sar S., Nath T. Numerical and experimental investigation of CI engine behaviours supported by zinc oxide nanomaterial along with diesel fuel. Energy 2022;239 (Part E):122424. doi:10.1016/j.energy.2021.122424.

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