Development of Machine Learning Models for Studying the Premixed Turbulent Combustion of Gas-To-Liquids (GTL) Fuel Blends

Development of Machine Learning Models for Studying the Premixed Turbulent Combustion of Gas-To-Liquids (GTL) Fuel Blends

<p dir="ltr">Studying the spatial and temporal evolution in turbulent flames represents one of the most challenging problems in the combustion community. Based on previous 3D numerical analyses, this study aims to develop data-driven machine learning (ML) models for predicting the fl...

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Bibliographic Details
Main Author: Abdellatif M. Sadeq (16931841) (author)
Other Authors: Amin Hedayati Moghaddam (21749282) (author), Ahmad K. Sleiti (14778229) (author), Samer F. Ahmed (16931844) (author)
Published: 2024
Subjects:
Engineering
Aerospace engineering
Automotive engineering
Information and computing sciences
Machine learning
Turbulent premixed flame
GTL
Flame radius evolution
Turbulent flame speed
Machine learning model
Artificial intelligence
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