Numerical calculation of stress concentration of various subsurface and undercutting pit types
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Seçil Ekşi
Abstract
In this study, the stress concentration effect of single subsurface (D type) pit types and undercutting (E type) pit types with various pit depth and diameter has been investigated with respect to uniaxial loading by conducting a series of 3D stress analyses systematically. Finite element analyses have been conducted in order to determine the stress concentration factor of pits. Pit aspect ratio q/a and a/2c are the main parameters affecting the value of the stress concentration factor for subsurface types of pits. e/a and e/2c are also pit aspect ratios affecting the value of the stress concentration factor for undercutting types of pits. Some equations have been made to estimate the stress concentration factor depending on the geometrical parameters from the results of stress analyses. The stress concentration factor can be calculated using an equation obtained with a correlation coefficient (R2) of 0.993 for D types (subsurface) pits. The stress concentration factor can also be calculated using an equation obtained with a correlation coefficient (R2) of 0.995 for E types (subsurface) pits.
Kurzfassung
In der diesem Beitrag zugrunde liegenden Studie wurden die Auswirkungen auf die Spannungskonzentration von Korrosionslöchern des einfachen Typs unterhalb der Oberfläche (D Type) und des unterhöhlenden Typs (E Type) mit verschiedenen Lochdurchmessern und Lochtiefen unter uniaxialen Beanspruchungsbedingungen untersucht, indem systematisch eine Reihe von 3D-Spannungsnalysen durchgeführt wurde. Die Finite-Elemente-Analysen wurden durchgeführt, um den Spannungskonzentrationsfaktor der Löcher zu bestimmen. Die Pitgrößenverhältnisse q/a und a/2c stellen die hauptsächlichen Parameter dar, die den Spannungskonzentrationsfaktor bei unterhöhlenden Löchern beeinflussen. Aus den Ergebnissen der Analysen wurden einige Gleichungen entwickelt, um den Spannungskonzentrationsfaktor in Abhängigkeit von den geometrischen Parametern abschätzen zu können. Der Spannungskonzentrationsfaktor kann mit einem Korrelationskoeffizienten R2 von 0,993 für die D-Typen und 0,995 für die E-Typen der Löcher ermittelt werden.
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© 2018, Carl Hanser Verlag, München
Artikel in diesem Heft
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Artikel in diesem Heft
- Inhalt/Contents
- Contents
- Fachbeiträge/Technical Contributions
- An investigation of the crash performance of magnesium, aluminum and advanced high strength steels and different cross-sections for vehicle thin-walled energy absorbers
- Model-based correlation between change of electrical resistance and change of dislocation density of fatigued-loaded ICE R7 wheel steel specimens
- Tensile strength of 3D printed materials: Review and reassessment of test parameters
- Numerical calculation of stress concentration of various subsurface and undercutting pit types
- Chemical composition of chosen phase constituents in austempered ductile cast iron
- Investigation of initial yielding in the small punch creep test
- Optimization and characterization of friction surfaced coatings of ferrous alloys
- Influence of the milling process on TiB2 particle reinforced Al-7 wt.-% Si matrix composites
- In-situ compaction and sintering of Al2O3 – GNP nanoparticles using a high-frequency induction system
- Strain-rate controlled Gleeble experiments to determine the stress-strain behavior of HSLA steel S960QL
- Thermography using a 1D laser array – From planar to structured heating
- Schichtdickenbestimmung von Oberflächenschutzsystemen für Beton mit Impulsthermografie
- Microstructure and mechanical properties of fly ash particulate reinforced AA8011 aluminum alloy composites
- High temperature compressive behavior of three-dimensional five-directional braided composites
- Dry sliding behavior of the aluminum alloy 8011 composite with 8 % fly ash
- Review on nanostructures from catalytic pyrolysis of gas and liquid carbon sources