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.
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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DbLabel: Energy & Power Source
An: 194587904
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  Label: Title
  Group: Ti
  Data: Effect of Gear Ratio on the Optimal Geometric Parameters in a Reluctance Magnetic Gear: A Multi-Objective Optimization Study.
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  Data: <searchLink fieldCode="AR" term="%22Roscioli%2C+Silvia%22">Roscioli, Silvia</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mateev%2C+Valentin%22">Mateev, Valentin</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<i> vmateev@tu-sofia.bg</i><br /><searchLink fieldCode="AR" term="%22Amoresano%2C+Amedeo%22">Amoresano, Amedeo</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Balabozov%2C+Iosko%22">Balabozov, Iosko</searchLink><relatesTo>2,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Marinova%2C+Iliana%22">Marinova, Iliana</searchLink><relatesTo>1,3,4</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Jun2026, Vol. 19 Issue 11, p2516. 21p.
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  Data: *<searchLink fieldCode="DE" term="%22Multi-objective+optimization%22">Multi-objective optimization</searchLink><br />*<searchLink fieldCode="DE" term="%22Genetic+algorithms%22">Genetic algorithms</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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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        Value: 10.3390/en19112516
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      – Code: eng
        Text: English
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        PageCount: 21
        StartPage: 2516
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        Type: general
      – SubjectFull: Genetic algorithms
        Type: general
    Titles:
      – TitleFull: Effect of Gear Ratio on the Optimal Geometric Parameters in a Reluctance Magnetic Gear: A Multi-Objective Optimization Study.
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            NameFull: Roscioli, Silvia
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            NameFull: Mateev, Valentin
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            NameFull: Amoresano, Amedeo
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            NameFull: Balabozov, Iosko
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            NameFull: Marinova, Iliana
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 19
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              Value: 11
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            – TitleFull: Energies (19961073)
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