Application of artificial neural networks for the prediction of performance and exhaust emissions in IC engine using biodiesel-diesel blends containing quantum dot based on carbon doped-Reference-Cited by-同舟云学术

Application of artificial neural networks for the prediction of performance and exhaust emissions in IC engine using biodiesel-diesel blends containing quantum dot based on carbon doped

Published:2022-12 Issue: Volume:16 Page:100304
ISSN:2590-1745
Container-title:Energy Conversion and Management: X
language:en
Short-container-title:Energy Conversion and Management: X

Author:

Taheri-Garavand Amin,Heidari-Maleni Aram,Mesri-Gundoshmian Tarahom,Samuel Olusegun David

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference57 articles.

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3. Influence of lean premixed ratio of PCCI-DI engine fueled by diesel/biodiesel blends on combustion, performance, and emission attributes; a comparison study;Elkelawy;Energy Convers Manage: X,2021

4. Novel environmentally friendly fuel: the effect of adding graphene quantum dot (GQD) nanoparticles with ethanol-biodiesel blends on the performance and emission characteristics of a diesel engine;Heidari-Maleni;NanoImpact,2021

5. Optimization of performance and emission characteristics of CI engine fueled with Jatropha biodiesel produced using a heterogeneous catalyst (CaO);Singh;Fuel,2020

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