CFD-based optimization of base pressure behavior on suddenly expanded flows at supersonic Mach numbers

• Main Authors: Jaimon, Dennis Quadros, Khan, Sher Afghan, Prashanth, T.
• Format: Article
• Language: English
• Published: Inder Science Publisher 2022
• Subjects: TL1 Motor vehicles
• Online Access: http://irep.iium.edu.my/98053/7/98053_CFD-based%20optimization%20of%20base%20pressure%20behavior.pdf; http://irep.iium.edu.my/98053/; https://www.inderscience.com/jhome.php?jcode=pcfd

: The base pressure developed in a suddenly expanded flow process majorly depends on Mach number (M), nozzle pressure ratio (NPR), area ratio (AR), and length to diameter ratio (L/D). Numerical analysis of the flow process was carried out using the computational fluid dynamics (CFD) technique and was validated by experiments. The input-output test cases for CFD analyses were developed by two statistical methods, namely central composite design (CCD) and Box-Behnken design (BBD). The BBD model yielded better prediction accuracy and was used for generating data that trained the recurrent and backpropagation neural networks. The recurrent neural network outperformed both the backpropagation neural network and Box-Behnken design. Furthermore, to assess the right range of conditions for maximizing base pressure, the genetic algorithm (GA), desirability function approach (DFA), and particle swarm optimization (PSO) techniques were implemented. The PSO and GA techniques were found to be better, as they carried out search operations in many directions in multi-dimensional space simultaneously.