What is it about?

This study contributes to the selection of the best optimal propulsion cycle among three variants of turboprops in order to power a class of propeller-driven aircraft. Accordingly, an engine performance analyzer (on-design and off-design) has been coupled to the Repulsive Particle Swarm algorithm RPSO. The present methodology offers the possibility, in addition to exploring the whole of the space of design to produce large sets of feasible solutions (Pareto fronts), representatives of various levels of compromise.

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Why is it important?

Selecting the best propulsion cycle for a turboprop engine at the preliminary design stages is very intricate due to many involved parameters and constraints.

Perspectives

This approach can find its utility in the preliminary design and be useful to select the best configuration and design parameters

PHD ADEL GHENAIET
Laboratory of Energy Conversion Systems, Faculty of Mechanical Engineering and Process Engineering, University of Science and Technology, Houari Boumediene, BP 32 El-Alia, Bab-Ezzouar, 16111, Algiers, Algeria

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This page is a summary of: Turboprop Cycle Optimization Using Repulsive Particle Swarm Algorithm, Journal of Propulsion and Power, July 2010, American Institute of Aeronautics and Astronautics (AIAA), DOI: 10.2514/1.46491.
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