Development of laminar burning velocity prediction model and correlation of iso-octane air mixtures using artificial neural network-Reference-Cited by-同舟云学术

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Development of laminar burning velocity prediction model and correlation of iso-octane air mixtures using artificial neural network

Published:2024-10 Issue: Volume:307 Page:132639
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Udaybhanu Gadi,Jameel Abdul Gani Abdul,Roberts William L.^ORCID,Mahendra Reddy V.

Funder

King Abdullah University of Science and Technology

Publisher

Elsevier BV

Reference76 articles.

1. Surrogate formulation for diesel and jet fuels using the minimalist functional group (MFG) approach;Abdul Jameel;Proc Combust Inst,2019

2. Probing the chemical kinetics of minimalist functional group gasoline surrogates;Ilieş;Energy Fuel,2021

3. A minimalist functional group (MFG) approach for surrogate fuel formulation;Abdul Jameel;Combust Flame,2018

4. Investigation of iso-octane combustion in a homogeneous charge compression ignition engine seeded by ozone, nitric oxide and nitrogen dioxide;Masurier;Proc Combust Inst,2015

5. Effects of injection pressure on the structural transformation of flash-boiling sprays of gasoline and ethanol in a spark-ignition direct-injection (SIDI) engine;Chan;Fuel,2014

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