Failure analysis of a loader hydraulic cylinder and its end cap structure improvement

Ding, Shunwei; Li, Guang; Shi, Yu; Ma, Jinyuan; Gao, Mingqian

doi:10.1016/j.engfailanal.2023.107597

Cited by 2 publications

(1 citation statement)

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“…The stress concentration between the carbides and matrix, which was always ignored, gave the pivotal importance on the surface damage under service condition. [ 14–16 ] The results of Ding et al [ 17 ] showed that dislocation entanglements were formed around the coarse carbides, leading to a high concentration of stress and accelerated fatigue crack extension. Gammage et al [ 18 ] observed that inhomogeneity in precipitate distributions leads to local stress concentration, which is a key factor in interfacial heterogeneous fracture initiation.…”

Section: Introductionmentioning

confidence: 99%

A Novel Classification Method for Carbide Grade by Using a New Shape Factor with Stress Distribution Analysis

Yao,

Cheng,

Fang

et al. 2024

steel research int.

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The carbide gradation related to geometry size and local stress concentration sensitivity significantly impacts the performance of the carburized 16Cr3NiWMoVNbE steel. The conventional metallurgical graphic comparison method by manual comparison is not capable of grading the carbide gradation automatically. A novel method is thus introduced to automatically evaluate the carbide grade by using a new shape factor φsc with stress distribution analysis instead of using the circularity or roundness shape factor which only considers the geometry shape of carbide particles. The logarithm of the stress concentration factor ln(K) is linearly related to the logarithm of the shape factor ln(φsc). The gradient b of the fitted straight line shows sensitivity to the carbide grade. The gradients are b1 = 0.039, b3 = 0.049, and b5 = 0.055 for the three carbide classes from low to high. Furthermore, there is also a linear relationship between hardness in different grades of carbide microstructure and the gradient b.

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Section: Introductionmentioning

confidence: 99%