Multi-concept & multi-goal propeller-based propulsion system optimization

Alon Snir, Barak Samina, Amiram Moshaiov, Yoram Reich, Ohad Gur - Israel Aerospace Industries (IAI)

CHALLENGE - This presentation demonstrates a multi-concept multi-goal optimization method (instead of the traditional single-concept optimization approach) devised at the Israel Aerospace Industries. This method allows simultaneous search for separate Pareto front for each concept, and obtaining multiple leading Pareto fronts. The approach is highlighted by a propeller design case.

SOLUTION - This propeller design study aims to find the best propeller and propulsion system for prescribed flight conditions. Design objectives are maximum mission time and minimum acoustic signature. Constraints are maximum stress at maximum thrust condition. Concept definitions are number of propellers (1 or 2), number of blades (2,3,4,5, or 6) and airfoil type.

BENEFITS Conclusions show that using the genetic algorithm in modeFRONTIER validates the evolutionary optimization scheme, which is used in the multi-concept multi-goal method. The test case shows that evolutionary methods are efficient and accurate for high number of DV, nonlinear math-programming. A total of 90 concepts are generated.