Prediction of Maximum Combustion Efficiency and Thrust Force of DLR Scramjet Engine Using ANN Models

DLR scramjet engine is one of the well-known strut base parallel fuel injection engine, with significant thrust force due to low pressure loss but with slight decrease in combustion performance. The performance parameters such as combustion efficiency and thrust force are generally affected by desig...

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Bibliographic Details
Published in:SN computer science 2023-09, Vol.4 (5), p.508, Article 508
Main Authors: Debnath, Anupam, Roy, Bidesh
Format: Article
Language:English
Subjects:
Algorithms
Combustion efficiency
Computer Imaging
Computer Science
Computer Systems Organization and Communication Networks
Data Structures and Information Theory
Efficiency
Enabling Innovative Computational Intelligence Technologies for IOT
Finite volume method
Fuel injection
Geometry
Hydrogen
Information Systems and Communication Service
Low pressure
Machine learning
Mathematical models
Original Research
Parameters
Pattern Recognition and Graphics
Performance evaluation
Pressure loss
Qualitative research
Simulation
Software Engineering/Programming and Operating Systems
Struts
Supersonic aircraft
Supersonic combustion ramjet engines
Thrust
Turbulence models
Vision
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Summary:DLR scramjet engine is one of the well-known strut base parallel fuel injection engine, with significant thrust force due to low pressure loss but with slight decrease in combustion performance. The performance parameters such as combustion efficiency and thrust force are generally affected by design variables such as strut angle and divergent angle of the engine. In this context, ANN models were developed to foretell the performance parameters of DLR scramjet engine for varying strut angle and divergent angle. The results predicted by the developed ANN models are comparable to the computational results. In addition, it is seen that the statistical indicators like R 2 , RMSE and MAPE are in the range of 0.997–0.999, 0.038–0.016 and 3.38–1.26 for prediction of combustion efficiency and thrust force. Therefore, it can be finally concluded that the developed ANN models are competent to predict the performance parameters such as combustion efficiency and thrust force of the DLR scramjet engine.
ISSN:2661-8907
2662-995X
2661-8907
DOI:10.1007/s42979-023-02020-8