Effect of Gear Ratio on the Optimal Geometric Parameters in a Reluctance Magnetic Gear: A Multi-Objective Optimization Study.
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| Title: | Effect of Gear Ratio on the Optimal Geometric Parameters in a Reluctance Magnetic Gear: A Multi-Objective Optimization Study. |
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| Authors: | Roscioli, Silvia1 (AUTHOR), Mateev, Valentin2,3 (AUTHOR) vmateev@tu-sofia.bg, Amoresano, Amedeo1,3 (AUTHOR), Balabozov, Iosko2,4 (AUTHOR), Marinova, Iliana1,3,4 (AUTHOR) |
| Source: | Energies (19961073). Jun2026, Vol. 19 Issue 11, p2516. 21p. |
| Subject Terms: | *Multi-objective optimization, *Genetic algorithms |
| Abstract: | Reluctance Magnetic Gears (RMGs) represent a cost-effective alternative to conventional magnetic gears, replacing the inner rotor permanent magnets with a toothed ferromagnetic rotor and adopting rectangular instead of arc-shaped magnets on the outer rotor. While these design choices reduce manufacturing complexity and material costs, they inherently introduce higher torque ripple, making simultaneous optimization of average torque and ripple a critical and non-trivial task. In this work, a multi-objective genetic algorithm is applied to four RMG configurations with integer gear ratios GRint equal to 4, 5, 6, and 7, with a fixed inner rotor tooth number n3 equal to 5. Seven design variables are optimized simultaneously: five radial thicknesses and two fill factors. The resulting Pareto fronts quantify the trade-off between average torque and ripple for each configuration. Analysis of the optimal solutions reveals a consistent geometric allocation pattern across all gear ratios, suggesting the existence of a common optimization criterion potentially generalizable to other RMG configurations. The influence of the gear ratio on both torque performance and optimal parameter distribution is discussed in detail. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Abstract: | Reluctance Magnetic Gears (RMGs) represent a cost-effective alternative to conventional magnetic gears, replacing the inner rotor permanent magnets with a toothed ferromagnetic rotor and adopting rectangular instead of arc-shaped magnets on the outer rotor. While these design choices reduce manufacturing complexity and material costs, they inherently introduce higher torque ripple, making simultaneous optimization of average torque and ripple a critical and non-trivial task. In this work, a multi-objective genetic algorithm is applied to four RMG configurations with integer gear ratios GRint equal to 4, 5, 6, and 7, with a fixed inner rotor tooth number n3 equal to 5. Seven design variables are optimized simultaneously: five radial thicknesses and two fill factors. The resulting Pareto fronts quantify the trade-off between average torque and ripple for each configuration. Analysis of the optimal solutions reveals a consistent geometric allocation pattern across all gear ratios, suggesting the existence of a common optimization criterion potentially generalizable to other RMG configurations. The influence of the gear ratio on both torque performance and optimal parameter distribution is discussed in detail. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 19961073 |
| DOI: | 10.3390/en19112516 |
