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  Scopus ID: 21100926589

Parametric Analysis and Optimization of the Chassis of a Go Kart Competition Vehicle by Means of Computational Software Based on Mathematical Algorithms

Oscar B. Arteaga, Héctor C. Terán, Fausto A. Jácome, Luis A. Coello and Jonathan R. Zurita

Abstract

The article presents a study on the optimization of the structure and internal components of a Go Kart vehicle, using design approaches based on mathematical algorithms. The importance of vehicles, particularly chassis, providing safety to the driver at high speeds, maintaining their stability and resistance to the forces that act in motion is highlighted. The most common materials used to manufacture the structures are steel. The study included simulation tests to assess the resistance capacity of the materials used in the chassis, to select the appropriate materials to provide optimal resistance and stability to the vehicle. The results showed that AISI 4130 steel is the best option for the chassis structure due to its mechanical properties. A maximum permitted weight of 150 kg was also established to achieve optimal structural resistance performance of the vehicle, which allows a speed of 110 km/h and an acceleration of 40 m/s2 . In addition, an analysis of the results of the deformation and torsion tests on the transmission shaft is presented, as well as the relationship between the torque, power, speed, and acceleration of the vehicle under different load conditions.

Published on: March 13, 2024
doi: 10.17756/nwj.2024-s1-019
Citation: Arteaga OB, Teran HC, Jacome FA, Coello LA, Zurita JR. 2024. Parametric Analysis and Optimization of the Chassis of a Go Kart Competition Vehicle by Means of Computational Software Based on Mathematical Algorithms. NanoWorld J 10(S1): S105-S108.

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