Three dimensional numerical simulation of cracks in an automobile wheel rim

Chilakala, Mahendra; Garg, Sahil

doi:10.1016/j.matpr.2020.02.441

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…They found a good correlation between the numerical and experimental results using a stress‐life approach and the influencing factors for surface roughness, stress concentration, and size effect. The finite element fatigue and crack analysis of automobile rims is presented in multiple references 18–20 . They used mostly the stress‐life approach to model the fatigue behavior.…”

Section: Introductionmentioning

confidence: 99%

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Fatigue behavior of agricultural rims under rotating bending load

Wöllner

Szlosarek

Kröger

2022

Fatigue Fract Eng Mat Struct

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Agricultural rims are highly loaded components which affect the functionality and safety of tractors significantly. For this reason, it is essential to prevent a damage of the rims. However, fatigue-initiated cracks along the bolt circle arise at any time during application. Until now, the determining load for the crack initiation is unclear. The paper investigates this fatigue problem by experimental, analytical, and numerical methods. Therefore, a test rig using hydraulic actuators is designed to load the rim by rotating bending in combination with a lateral force. The loads are deduced by an analytical model of the tractor under different driving situations like cornering. The finite element model shows the critical locations by performing a fatigue analysis of the driving situation. The experimental and numerical results verify the assumption that the rotating bending in combination with a lateral force leads to the fatigue cracks also found by tractors in reality.

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Section: Introductionmentioning

confidence: 99%

“…The finite element fatigue and crack analysis of automobile rims is presented in multiple references. [18][19][20] They used mostly the stress-life approach to model the fatigue behavior. These articles include no comparison to experimental data.…”

mentioning

confidence: 99%