Detonation cell size prediction based on artificial neural networks with chemical kinetics and thermodynamic parameters

Detonation cell size prediction based on artificial neural networks with chemical kinetics and thermodynamic parameters

In this paper, we develop a series of Artificial Neural Networks (ANN) using different chemical kinetic and thermodynamic input parameters to predict detonation cell sizes. The feedforward neural networks are trained and validated using available experimental data from the Caltech detonation databas...

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Bibliographic Details
Main Authors: Georgios Bakalis, Maryam Valipour, Jamal Bentahar, Lyes Kadem, Honghui Teng, Hoi Dick Ng
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:Fuel Communications
Subjects:
Machine learning
Artificial neural network
Gaseous detonation
Cell size
Chemical kinetics
Stability parameter
Online Access:http://www.sciencedirect.com/science/article/pii/S2666052022000346

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http://www.sciencedirect.com/science/article/pii/S2666052022000346

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