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Optimal Design of Transmission Shafts Using a Vortex Search Algorithm


This paper analyzes the problem of optimally sizing a transmission shaft via the vortex search algorithm (VSA) optimizer. The objective function was to minimize the shaft weight through an adequate selection of the diameters of each section of the device, and the constraints were the physical conditions that should be met to design safe, fatigue-proof shafts. The solution and the mathematical model were validated using Autodesk Inventor. In addition, the performance of the VSA was compared to that of the continuous genetic algorithm . The numerical results show that the programmed model has the physical and methodological characteristics needed to produce a better output than conventional design techniques. Therefore, this model can be a powerful tool to solve nonlinear non-convex optimization problems such as the case investigated here.

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This work was supported by the Instituto Tecnolgico Metropolitano de Medelln (Colombia), under the research groups of Advanced Computing and Digital Design (SeCADD) and mathematical modeling, programming, and optimization applied to engineering, which belongs to the research group of Advanced Materials and Energy (MATyER) and contributes to the development of the project entitled “H-Darrieus type hydraulic (hydrokinetic) turbine for picogeneration using parametric optimization.” It was also supported by Universidad Distrital Fransisco José de Caldas, Institución Universitaria Pascual Bravo, and Universidad Tecnológica de Bolívar.

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Correspondence to M. A. Rodriguez-Cabal.

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Rodriguez-Cabal, M.A., Betancur-Gómez, J.D., Grisales-Noreña, L.F. et al. Optimal Design of Transmission Shafts Using a Vortex Search Algorithm. Arab J Sci Eng 46, 3293–3300 (2021).

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  • Mechanical analysis
  • Machine elements design
  • Weight shaft optimization
  • Vortex search algorithm
  • Continuous genetic algorithm
  • Nonlinear non-convex optimization