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FEA-Based Investigation of Fatigue Life and Durability of Materials and Structures in Automotive Applications
- Source :
- E3S Web of Conferences, Vol 430, p 01115 (2023)
- Publication Year :
- 2023
- Publisher :
- EDP Sciences, 2023.
-
Abstract
- In the rapidly evolving automotive industry, the longevity and reliability of materials and structures are paramount. This research paper presents a comprehensive Finite Element Analysis (FEA)-based investigation into the fatigue life and durability of materials and structures commonly employed in automotive applications. Utilizing state-of-the-art FEA tools, the study evaluates the stress distributions, strain concentrations, and fatigue-induced deformations under cyclic loading conditions representative of real-world automotive scenarios. A comparative analysis of various automotive materials, including advanced high-strength steels, aluminium alloys, and novel composite materials, is conducted to discern their fatigue performance. The results elucidate the critical regions susceptible to fatigue failure and provide insights into the underlying mechanisms governing material degradation. Furthermore, the study introduces a novel fatigue life prediction model, calibrated against experimental data, offering enhanced accuracy in predicting the lifespan of automotive components. The findings of this research not only contribute to the fundamental understanding of fatigue phenomena in automotive materials but also pave the way for the development of more durable and sustainable vehicles in the future. This work serves as a cornerstone for engineers and researchers aiming to optimize material selection and design strategies, ensuring safer and longer-lasting automotive structures.
- Subjects :
- Environmental sciences
GE1-350
Subjects
Details
- Language :
- English, French
- ISSN :
- 22671242
- Volume :
- 430
- Database :
- Directory of Open Access Journals
- Journal :
- E3S Web of Conferences
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.fa871c233cf249e1bc05b9ff8c1bf4f0
- Document Type :
- article
- Full Text :
- https://doi.org/10.1051/e3sconf/202343001115