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Fatigue Life Assessment of 65Si7 Leaf Springs: A Comparative Study
Vinkel Kumar Arora1, Gian Bhushan2, M L Aggarwal3
1Department of Engineering, NIFTEM, HSIIDC, Kundli, Haryana 131028, India.
International Scholarly Research Notices
|July 6, 2016
Summary
Predicting leaf spring fatigue life experimentally is slow. This study explores faster, alternative methods for fatigue life assessment, comparing SAE, graphical, analytical, and computer-aided engineering approaches for commercial vehicle leaf springs.
Area of Science:
- Mechanical Engineering
- Materials Science
- Automotive Engineering
Background:
- Experimental fatigue life prediction for leaf springs is time-intensive.
- Engineers require efficient alternative methods for fatigue life assessment.
Purpose of the Study:
- To develop and evaluate alternative methods for assessing the fatigue life of leaf springs.
- To identify the most efficient and accurate method for fatigue life prediction.
Main Methods:
- Experimental determination of fatigue life and load rate using a full-scale leaf spring testing machine.
- Evaluation of four alternative fatigue life assessment methods: SAE spring design manual, graphical method (modified Goodman's criteria), analytical technique (FORTRAN coding), and computer-aided engineering (CAE) using SolidWorks and ANSYS.
Main Results:
- Comparison of fatigue life predictions from four distinct methods against experimental data.
- Assessment of computational time and accuracy for each proposed method.
Conclusions:
- The study suggests a preferred method for fatigue life assessment based on proximity to experimental values and reduced time consumption.
- Highlights the potential of CAE tools for efficient and accurate leaf spring fatigue analysis.
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