Topological Optimization of Swing Arm for Electric Motorcycles

Xavier Vaca, Junior Quintero, William Quitiaquez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Pollution is one of the causes of global warming, due to the use of fossil fuels, and far from decreasing, it is increasing. This situation forces us to look for new ways to improve the efficiency and safety of alternative vehicles such as electric vehicles. For this reason, the present research seeks to develop a topological study using finite element analysis in the parametric design of a swing arm of an electric motorcycle, to improve the stiffness-to-weight ratio of the mentioned element. The study uses a standard swing arm from an internal combustion motorcycle, which is characterized in CAD CAE software using the reverse engineering tool and subjected to finite element analysis and topological optimization with the operating parameters of an electric motorcycle. The result is a new swingarm design with 25% less weight but with greater rigidity due to the use of AA7075 T6 material. In addition to this, the safety factor is improved in all conditions to which the swingarm was subjected going from 3 to 4,22 in static load.

Original languageEnglish
Title of host publicationSystems, Smart Technologies and Innovation for Society - Proceedings of CITIS 2023
EditorsJuan Pablo Salgado-Guerrero, Hector Rene Vega-Carrillo, Gonzalo García-Fernández, Vladimir Robles-Bykbaev
PublisherSpringer Science and Business Media Deutschland GmbH
Pages28-39
Number of pages12
ISBN (Print)9783031519819
DOIs
StatePublished - 2024
Event8th International Conference on Science, Technology and Innovation for Society, CITIS 2023 - Guayaquil, Ecuador
Duration: 26 Jul 202328 Jul 2023

Publication series

NameLecture Notes in Networks and Systems
Volume870 LNNS

Conference

Conference8th International Conference on Science, Technology and Innovation for Society, CITIS 2023
Country/TerritoryEcuador
CityGuayaquil
Period26/07/2328/07/23

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

  • Finite element analysis
  • Reverse engineering
  • Static study
  • Swing arm
  • Topological optimization

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