A machine learning model for predicting threshold sooting index (TSI) of fuels containing alcohols and ethers-Reference-Cited by-同舟云学术

A machine learning model for predicting threshold sooting index (TSI) of fuels containing alcohols and ethers

Published:2022-08 Issue: Volume:322 Page:123941
ISSN:0016-2361
Container-title:Fuel
language:en
Short-container-title:Fuel

Author:

Ahmed Qasem Mohammed Ameen,van Oudenhoven Vincent C.O.,Pasha Amjad A.,Pillai S. Nadaraja,Reddy V. Mahendra,Ahmed Usama,Razzak Shaikh A.,Al-Mutairi Eid M.,Abdul Jameel Abdul Gani

Publisher

Elsevier BV

Subject

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

Reference85 articles.

1. Swirling flame combustion of heavy fuel oil: Effect of fuel sulfur content;Pei;J Energy Resour Technol,2021

2. The Climate Change Crisis,2018

3. V. Thomas, Climate change and natural disasters: transforming economies and policies for a Taylor & Francis, sustainable future 2017.

4. S.P. Crossley, W.E. Alvarez, D.E. Resasco, Novel micropyrolyis index (mpi) to estimate the sooting tendency of fuels Energy Fuels 22 2008 2455 2464.

5. An experimental comparison of the sooting behavior of synthetic jet fuels;Saffaripour;Energy Fuels,2011

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