About this document

Optimizing Flywheel Design with iiGA by scribwho is a document available to read on EtoBox.

This paper introduces an Injection Island Genetic Algorithm (iiGA) for optimizing the design of elastic flywheels by maximizing their Specific Energy Density (SED). The iiGA employs a multi-resolution approach, utilizing both low and high fidelity finite element models to efficiently explore the design space and refine solutions. Results demonstrate that the iiGA outperforms traditional genetic algorithms, achieving a 35% increase in SED for the optimized flywheel design.

Author

scribwho

Language

EN