An experimental-based artificial neural network performance study of common rail direct injection engine run on plastic pyrolysis oil-Reference-Cited by-同舟云学术

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An experimental-based artificial neural network performance study of common rail direct injection engine run on plastic pyrolysis oil

Published:2020-06-07 Issue:2 Volume:14 Page:137-146
ISSN:1939-7038
Container-title:International Journal of Sustainable Engineering
language:en
Short-container-title:International Journal of Sustainable Engineering

Author:

Khandal S. V.¹,Gadwal Sudershan B.²,Raikar Venkatesh A.³,Yunus Khan T.M.⁴,Badruddin Irfan Anjum⁴

Affiliation:

1. Department of Mechanical Engineering, Sanjay Ghodawat University, Kolhapur, India

2. Department of Mechanical Engineering, A.G. Patil Institute of Technology, Solapur, India

3. Department ofMechanical Engineering, Sanjay Ghodawat University, Kolhapur, India

4. Department of Mechanical Engineering, King Khalid University, Abha, Saudi Arabia

Funder

Deanship of Scientific Research, King Khalid University

Publisher

Informa UK Limited

Subject

General Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/19397038.2020.1773568

Reference47 articles.

1. Performance comparison of CFCs with their substitutes using artificial neural network

2. A diesel engine's performance and exhaust emissions

3. Effect of Injection Time and Injection Pressure on CI Engine Fuelled with Methyl Ester of Thevetia Peruviana Seed Oil

4. Impact of Injection Timing on the Performance of Single Cylinder DI Diesel Engine Fueled with Solid Waste Converted Fuel

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2. Investigation on the quantitative evaluation method of coal combustion situation in O₂-CO₂-N₂ atmospheres based on dynamic artificial neural network;International Journal of Coal Preparation and Utilization;2023-05-10

3. Optimization of diesel engine performance and emission using waste plastic pyrolytic oil by ANN and its thermo-economic assessment;Environmental Science and Pollution Research;2023-04-20

4. Optimization of diesel engine performance and emission using waste plastic pyrolytic oil by ANN and its thermo economic assessment;2023-01-27

5. Research on the co-pyrolysis of coal slime and cellulose based on TG-FTIR-MS, artificial neural network, and principal component analysis;Fuel;2022-07

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