October 2025
Intermediate to advanced
448 pages
12h 21m
English
book
Artificial Intelligence Applications in Aeronautical and Aerospace Engineering
by K. Sathish Kumar, R. Naren Shankar
Content preview from Artificial Intelligence Applications in Aeronautical and Aerospace Engineering
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12AI-Powered Prediction of Centerline Total Pressure Variations in Coaxial Nozzles by Varying the Lip Thickness
R. Naren Shankar1*, Irish Angelin S.1, Bakiya Ambikapathy2, K. Sathish Kumar3 and Parvathy Rajendran4
1 Department of Aeronautical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, India
2 Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India
3 Department of Aeronautical Engineering, Nehru Institute of Engineering and Technology, Coimbatore, India
4 School of Aerospace Engineering, Universiti Sains Malaysia, Nibong Tebal, Pulau Pinang, Malaysia
Abstract
Coaxial nozzle is one of the techniques used to reduce the jet noise by mixing enhancement. The space between the primary nozzle and the secondary nozzle, referred to as the lip thickness, characterizes a coaxial nozzle. Artificial intelligence plays a vital part in the analysis of jet flow characteristics. In this research, Exponential Gaussian Process Regression (EGPR) was applied to predict centerline total pressure variations between the primary and secondary nozzles by varying the lip thickness. Numerical simulation data was utilized to prepare the training and testing datasets, with the exit velocity of both the primary and secondary nozzles held constant at Mach 0.6 throughout the study. The results illustrate that the regression model accurately forecasts total pressure ...
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