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A neuro-genetic approach to the optimal design of gear-blank lightening holes

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Abstract

Despite its significant effect on the weight and dynamic performance of a gear system, the topology of the gear blanks, including the geometry and dimensions of the hub, the web and the spokes, has not been systematically studied. The occasional investigations of the subject have been mainly experimental and/or based on simplifying assumptions. This paper presents a simulation-based approach to the optimal shape design of gear-blank lightening holes. A set of parametric curves is used to describe the hole geometry. The optimum coordinates of the curves’ vertices are then determined through a multi-objective optimization procedure that would minimize the weight of the gear and the maximum-to-minimum stress ratio while satisfying strength and performance requirements. As its function evaluation engine, the optimization algorithm employs a neural network which is trained using results from a uniformly distributed set of FE simulations. Multiple case studies show an average of 23 % weight reduction compared to traditionally designed gear holes.

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Notes

  1. Tan-sigmoid function with the relationship of \(y = \frac{2}{{1 + e^{ - 2x} }} - 1\).

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA

    H. Vahabi

  2. School of Mechanical Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran

    M. Shariat Panahi & R. Pirayesh Shirazinezhad

  3. School of Metallurgy Engineering, Faculty of Engineering, University of Sharif, Tehran, Iran

    A. Imenabadi

Authors
  1. H. Vahabi
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  2. M. Shariat Panahi
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  3. R. Pirayesh Shirazinezhad
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  4. A. Imenabadi
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Corresponding author

Correspondence to H. Vahabi.

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Technical Editor: Lavinia Maria Sanabio Alves Borges.

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Vahabi, H., Shariat Panahi, M., Shirazinezhad, R.P. et al. A neuro-genetic approach to the optimal design of gear-blank lightening holes. J Braz. Soc. Mech. Sci. Eng. 38, 277–286 (2016). https://doi.org/10.1007/s40430-015-0362-0

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  • DOI: https://doi.org/10.1007/s40430-015-0362-0

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