Risk Assessment and Reliability Management of Tractor Front Axles Using Experimental and Numerical Analysis
DOI:
https://doi.org/10.66635/jgz2je80Keywords:
Failure analysis, Tractor front axle, Fatigue failure, Finite element analysis, Stress concentration, Fractography, Metallurgical analysis, Corrosion, Structural durabilityAbstract
The front axle is one of the most significant structural parts in an agricultural tractor that supports the vehicle load, provides a cushion effect when driving on uneven ground and ensures steering stability during different conditions of operation. As the front axle experiences repetitive loading, impact loads and tough weather conditions, it is prone to causing fatigue damage and structural failure. It is crucial to understand the reasons behind these failures to enhance reliability, longevity, and safety in tractor parts. This study is a complete failure analysis of a cracked front axle of a tractor that failed prematurely in the field. The investigation started with a comprehensive visual inspection and was found that there was a large crack starting at the area where the wheel is attached, and there was severe corrosion and surface deterioration. Metallurgical characterization, hardness, fractographic analysis, and finite element analysis (FEA) were used for the investigation of the root cause of failure. A numerical model was created to investigate the stresses and stress concentrations in critical areas for typical loading configurations. Next, the experimental observations were compared with the simulation results to determine the failure mechanism. Experiment results show that the crack started at the high stress concentration area and grew as cycles were repeated. Corrosion products were observed on the fracture surface, indicating that the environment degradation played a part in the crack growth, which eventually led to the loss of load carrying capacity in the axle. The maximum stresses were then seen to be concentrated near the crack initiation site so the FEA results corroborated the experimental results. The study also shows how material quality, geometric discontinuities and service loading impact the fatigue performance of the component. The results give an insight into the structural behavior and failure modes of tractor front axles and highlight and underline the need for hybrid investigations of experiments and simulations for accurate elucidation of the failure mode. The suggestions in this study, such as design optimization, material selection, and condition monitoring to be performed periodically, can greatly improve the fatigue life and reliability of any agricultural tractor's front axle. The research results will help for the design of agricultural equipment, component design, maintenance, failure prevention, and safe design of agricultural machinery which are more durable and safe.
References
1.J. Gao, C. Xu, B. Ma, et al., "Precision Fatigue Life Prediction for Cast Iron Components Using Machine Learning," Fatigue & Fracture of Engineering Materials & Structures, vol. 49, no. 3, pp. 681–701, 2026.
2.A. Mourujärvi, J. Vaara, J. Laine, et al., "Fatigue Properties of Heavy Section Ductile Iron Castings for Automotive and Agricultural Applications," International Journal of Metalcasting, vol. 20, 2026.
3.R. P. Kinser, P. G. Allison, and J. B. Jordon, "Review of Crack Initiation and Propagation in Cast Steel Components," International Journal of Metalcasting, vol. 20, 2026.
4.M. Gróza and Y. Nadot, "Experimental Validation of Defect Stress Gradient Approach for Nodular Cast Iron Components," Engineering Failure Analysis, vol. 184, Article 110345, 2026.
5.K. Reza Kashyzadeh, K. Souri, A. Gharehsheikh Bayat, R. Safavi Jabalbarez, and M. Ahmad, "Fatigue Life Analysis of Automotive Cast Iron Knuckle under Constant and Variable Amplitude Loading," Applied Mechanics, vol. 3, no. 2, pp. 517–532, 2022.
6.M. S. M. Sani, N. A. Abdullah, and M. R. M. Rejab, "Finite Element Analysis and Structural Optimization of Automotive Suspension Components: A Review," Materials Today: Proceedings, vol. 48, pp. 1810–1818, 2021.
7.P. Liu, Q. Zhang, Y. Watanabe, T. Shoji, and F. Cao, "Recent Advances in Corrosion-Induced Crack Initiation in Structural Steel Components," npj Materials Degradation, vol. 6, Article 81, 2022.
8.S. A. Awe, "Premature Failure Analysis of an Automobile Brake Disc due to Material Defects," Engineering Failure Analysis, vol. 137, Article 106263, 2022.
9.H. Liu, Y. Wang, X. Zhang, and Z. Li, "Structural Durability Assessment of Heavy Vehicle Axle Systems Using Finite Element Analysis," Engineering Failure Analysis, vol. 156, Article 107721, 2024.
10.M. K. Sharma and R. Kumar, "Design Optimization of Tractor Front Axle Using Finite Element Analysis," Materials Today: Proceedings, vol. 72, pp. 2268–2275, 2023.
11.Y. Li, X. Chen, and J. Zhao, "Experimental Investigation of Dynamic Loads Acting on Agricultural Tractor Front Axles under Field Conditions," Biosystems Engineering, vol. 232, pp. 45–58, 2024.
12.A. Singh, P. Kumar, and S. Verma, "IoT-Based Data Acquisition System for Real-Time Agricultural Vehicle Performance Monitoring," Computers and Electronics in Agriculture, vol. 214, Article 108217, 2024.
13.C. J. Schroeder (Ed.), ASM Handbook, Volume 12: Fractography, ASM International, 2025.
14.ASM International, ASM Handbook, Volume 11: Failure Analysis and Prevention, ASM International, Latest Edition, 2024.
15.ASTM E1823-24, Standard Terminology Relating to Fatigue and Fracture Testing, ASTM International, West Conshohocken, PA, USA, 2024.





