Multi-objective Particle Swarm Optimization Design an Optimal Li-quiRocket Engine

Authors

  • Imad O. Bachi University of Basrah, College of Engineering, Department of Materials Engineering, Basrah, Iraq., 2 Bilad Alrafidain University College, Diyala, 32001, Iraq
  • Asaad A. Abdullah University of Basrah, College of Engineering, Department of Materials Engineering, Basrah, Iraq., 2 Bilad Alrafidain University College, Diyala, 32001, Iraq
  • Hammoudi K. Bachache University of Basrah, College of Engineering, Department of Materials Engineering, Basrah, Iraq., 2 Bilad Alrafidain University College, Diyala, 32001, Iraq
  • Ali Muhssen Abdul-Sadah University of Alkafeel, Technical Engineering College, Najaf, Iraq.

Keywords:

Liquid Rocket Engine, Multi-objective Optimization Design, Particle Swarm Optimization

Abstract

A liquid rocket engine has an open gas generator cycle that uses LOX/RP-1 (kerosene). The engine is designed to com-pute the size of the combustion chamber pressure, nozzle expansion ratio, and mixture ratio O/F. Therefore, this study proposes particle swarm optimization to determine the values of these three variables for an optimal engine. In this work, the engine’s design was obtained through multi-objective optimization. Multiple targets presented the energy balance condition. The first function was the setting of the specific impulse (I_sp), and the second function was the thrust-to-weight ratio (T/W). The physical properties of the combustion chamber were modeled on the basis of typical parameter val-ues. The simulation results demonstrated that the algorithm gave a specific thrust increase of more than 3.5%, and the T/W increased by up to 20%. Furthermore, Pareto frontier lines were obtained for various thrust.

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Schematic diagram of Main Combustion Chamber.

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Published

17.05.2023

How to Cite

O. Bachi, I. ., Abdullah, A. A. ., Bachache , H. K. ., & Abdul-Sadah, A. M. . (2023). Multi-objective Particle Swarm Optimization Design an Optimal Li-quiRocket Engine. International Journal of Intelligent Systems and Applications in Engineering, 11(6s), 433–440. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2868

Issue

Vol. 11 No. 6s (2023)

Section

Research Article

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