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...
محفوظ في:
| المؤلف الرئيسي: | Abdellatif M. Sadeq (16931841) (author) |
|---|---|
| مؤلفون آخرون: | Amin Hedayati Moghaddam (21749282) (author), Ahmad K. Sleiti (14778229) (author), Samer F. Ahmed (16931844) (author) |
| منشور في: |
2024
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| الموضوعات: | |
| الوسوم: |
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مواد مشابهة
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Transient 3D simulations of turbulent premixed flames of gas-to-liquid (GTL) fuel in a fan-stirred combustion vessel
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Dataset for transient 3D simulations of turbulent premixed flames of Gas-to-Liquid (GTL) fuel
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Transient 3D simulations of turbulent premixed flames of gas-to-liquid (GTL) fuel in a fan-stirred combustion vessel
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منشور في: (2021) -
Dataset for transient 3D simulations of turbulent premixed flames of Gas-to-Liquid (GTL) fuel
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