This paper presents a comprehensive analysis of a go-kart chassis made of AISI 1080 steel, focusing on its structural integrity and safety performance under both front and side impacts. Utilizing ANSYS 2022 R1’ Static Structural Analysis, the chassis was subjected to simulated impacts to evaluate its response to applied loads. The results demonstrate that the go-kart chassis exhibits safe total deformations and equivalent strains within acceptable limits, confirming its ability to withstand such impacts without compromising structural integrity. Stress distribution analysis identified key areas for design optimization and reinforcement, further bolstering safety measures. The equivalent stress levels observed indicate that the chassis can reliably endure the loads encountered during races, ensuring safety and reliability. This data-driven approach validates the chassis design and provides valuable insights into strain reactions, stress dispersion, and deformation patterns. These findings support safety regulations in go-kart racing and contribute to optimizing design for enhanced performance.

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Analysis of AISI 1080 Steel Chassis for Go-Kart: Front and Side Impact Study Using Static Structural Analysis in ANSYS 2022

  • Raj Kumar,
  • Kartike Vashisht

摘要

This paper presents a comprehensive analysis of a go-kart chassis made of AISI 1080 steel, focusing on its structural integrity and safety performance under both front and side impacts. Utilizing ANSYS 2022 R1’ Static Structural Analysis, the chassis was subjected to simulated impacts to evaluate its response to applied loads. The results demonstrate that the go-kart chassis exhibits safe total deformations and equivalent strains within acceptable limits, confirming its ability to withstand such impacts without compromising structural integrity. Stress distribution analysis identified key areas for design optimization and reinforcement, further bolstering safety measures. The equivalent stress levels observed indicate that the chassis can reliably endure the loads encountered during races, ensuring safety and reliability. This data-driven approach validates the chassis design and provides valuable insights into strain reactions, stress dispersion, and deformation patterns. These findings support safety regulations in go-kart racing and contribute to optimizing design for enhanced performance.