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Journal of Vibration Engineering & Technologies

, Volume 7, Issue 6, pp 551–563 | Cite as

Optimization of Excitation Frequencies of a Gearbox Using Algorithms Inspired by Nature

  • S. V. Camacho-GutiérrezEmail author
  • Juan C. Jáuregui-Correa
  • A. Dominguez
Original Paper
  • 40 Downloads

Abstract

Purpose

This work presents a methodology to enhance the preliminary design of a single-stage gearbox by diminishing the dynamic load between gears and bearings.

Methods

The gearbox dynamic load decreases by separating its excitation frequencies; the proposed methodology satisfies the design parameters like power, speed, and useful life and optimizes the distribution of the excitation frequencies using algorithms based on nature as particle swarm optimization, genetic algorithms and bat algorithm.

Results

The algorithms maximize the separation between consecutive frequencies, even though the space of solutions has abrupt changes and discontinuities. The algorithm based on particle swarm optimization is the most stable and quick to converge.

Conclusions

As shown in this work, the dynamic load produced by the interaction between the gearbox components can be diminished from the design stage. The methodology based on nature algorithms improves the distribution of excitation frequencies, and therefore, decreases the possibility of a nonlinear synchronization, resonances and beating frequencies; thus prolongs the life of the transmission components.

Keywords

Excitation frequency Gearbox design Optimization 

Notes

Acknowledgements

The authors thank CONACYT for supporting them.

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Copyright information

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Authors and Affiliations

  • S. V. Camacho-Gutiérrez
    • 1
    Email author
  • Juan C. Jáuregui-Correa
    • 1
  • A. Dominguez
    • 1
  1. 1.Division de Investigacion y Posgrado, Facultad de IngenieriaUniversidad Autonoma de QueretaroQueretaroMexico

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