Predicting the performance and emissions of an HCCI-DI engine powered by waste cooking oil biodiesel with Al2O3 and FeCl3 nano additives and gasoline injection – A random forest machine learning approach-Reference-Cited by-同舟云学术

Predicting the performance and emissions of an HCCI-DI engine powered by waste cooking oil biodiesel with Al2O3 and FeCl3 nano additives and gasoline injection – A random forest machine learning approach

Published:2024-02 Issue: Volume:357 Page:129914
ISSN:0016-2361
Container-title:Fuel
language:en
Short-container-title:Fuel

Author:

Lionus Leo G.M.,Jayabal Ravikumar,Srinivasan D.,Chrispin Das M.,Ganesh M.^ORCID,Gavaskar Thodda

Publisher

Elsevier BV

Subject

Organic Chemistry,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Reference54 articles.

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2. Effect of pilot fuel injection strategies and EGR on a CRDI diesel engine powered by Simmondsia chinensis seed biodiesel-methyl acetate blend;Subramanian;Sustain Energy Technol Assess,2023

3. Optimisation and environmental analysis of waste cashew nut shell oil biodiesel/cerium oxide nanoparticles blends and acetylene fumigation in agricultural diesel engine;Lionus Leo;Sustain Energy Technol Assess,2023

4. Sustainable biofuel economy: A mapping through bibliometric research;Hasan;J Environ Manage,2023

5. Performance and emissions characteristics of a common rail direct injection diesel engine powered by ignition enhancer-biodiesel blends;Duraisamy;Int J Environ Sci Technol,2023

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