2010
DOI: 10.2478/v10175-010-0025-3
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Fatigue damage mechanisms and damage evolution near cyclically loaded edges

Abstract: Abstract.A combined experimental and numerical approach was applied to develop a basic understanding of the fatigue damage process taking place at edges exposed to cyclic mechanical loads.A recently developed cyclic edge-loading test was used in order to simulate the fatigue loading of the edges of manufacturing tools and to study the microscopic damage mechanisms. Accompanying finite element calculations were performed to provide a better understanding of the loading conditions at edges subjected to cyclic me… Show more

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Cited by 6 publications
(6 citation statements)
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“…Figure 6 shows the curves of the Tafel plot of the specimens under various conditions. The Ecorr values are noted, directly proportional to the corrosion rate of the material [18,19]. The peened samples have good desirable Ecorr values as compared to the unpeened sample.…”
Section: Surface Roughnessmentioning
confidence: 98%
“…Figure 6 shows the curves of the Tafel plot of the specimens under various conditions. The Ecorr values are noted, directly proportional to the corrosion rate of the material [18,19]. The peened samples have good desirable Ecorr values as compared to the unpeened sample.…”
Section: Surface Roughnessmentioning
confidence: 98%
“…As mentioned earlier, wind turbines operate under varying operational conditions. Due to constantly changing load, wind turbines are exposed to accelerated wear [15]. Therefore, during a periodical maintenance, the outer race fault on one of bearings was detected using endoscopy.…”
Section: Case Study: Rolling Element Bearing Faultmentioning
confidence: 99%
“…In very complex loading conditions not only amplitude varies but also the loading direction [14]. Additionally, introduction the radial deviation to the deformable object, even of a small value, increases significantly the magnitude of the equivalent stress [15].…”
Section: Tool Stiffness Influence On the Chosen Physical Parameters Omentioning
confidence: 99%