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Updated: Jul 1, 2025

Crack Monitoring in Resonance Fatigue Testing of Welded Specimens Using Digital Image Correlation

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Published on: September 29, 2019

Numerical Study of Crack Prediction and Growth in Automotive Wheel Rims.

Soufiane Montassir^1,2, Hassane Moustabchir³, Ahmed El Khalfi¹

¹Department of Mechanical Engineering, Faculty of Science and Technology, Sidi Mohamed Ben Abdellah University, Fez 30000, Morocco.

Materials (Basel, Switzerland)

|March 13, 2024

Summary

This study uses advanced finite element analysis to predict crack growth in automotive rims, identifying critical failure zones and improving structural integrity predictions for enhanced safety and performance.

Keywords:

XFEM crack failure wheel rim

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Area of Science:

Mechanical Engineering
Materials Science
Computational Mechanics

Background:

Finite element analysis (FEA) is crucial for simulating crack growth in engineering.
Understanding fatigue behavior is vital for automotive component design and safety.
Predicting crack initiation and propagation is essential for structural integrity.

Purpose of the Study:

To identify critical zones for crack initiation in automotive rims.
To estimate the fatigue life of automotive rims under cyclic loading.
To validate advanced simulation techniques against experimental data.

Main Methods:

Application of fatigue analysis to identify critical zones and estimate load life repeats.
Utilization of the Extended Finite Element Method (XFEM) for crack propagation simulation.
Computation of Stress Intensity Factor (SIF) using a volumetric approach.

Main Results:

Accurate identification of critical zones prone to crack initiation in automotive rims.
Successful estimation of fatigue life cycles through advanced FEA.
Close correlation between simulation results and experimental findings.

Conclusions:

The study validates the effectiveness of XFEM in predicting crack behavior in automotive rims.
Findings provide valuable insights into the fatigue performance and structural integrity of automotive components.
The methodology offers a pathway for optimizing the design and enhancing the durability of automotive rims.