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Chemical Engineering & Technology
Article . 2022 . Peer-reviewed
License: CC BY
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https://dx.doi.org/10.5445/ir/...
Article . 2022
License: CC BY
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Influence of High Pressure Drop Rates on Fatigue Crack Growth

Authors: Michiels, Lukas; Geimer, Marcus;

Influence of High Pressure Drop Rates on Fatigue Crack Growth

Abstract

AbstractHydraulic components in mobile machines are subjected to varying conditions and loads, which limit their lifetime. In particular, high pressure drop rates are suspected to increase fatigue crack growth rates. Existing studies on the fluid‐structure interaction inside fatigue cracks during fast pressure drops do not explain increased crack growth in hydraulic systems. A laminar flow model was developed to simulate the fluid flow inside a crack under periodic pressure loads. The viscosity restrained the oil inside the crack, and the mechanical resistance of the closing crack led to a high pressure increase. Knowledge of the pressure profiles inside fatigue cracks helps to estimate the effective fatigue damage during transient loads.

Countries
Germany, Germany
Related Organizations
Keywords

ddc:620, Mobile Hydraulic, Robustness & Safety, Testing, Material fatigue, Robustness & Safety, Reliability, Engineering & allied operations, info:eu-repo/classification/ddc/620, 620

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
hybrid