An Automated Method for the Measurement of Fatigue Crack Progression

Paulo Tavares; N.S. Viriato; Pedro Moreira

doi:10.4028/www.scientific.net/KEM.577-578.445

Paper Titles

Effect of Processing Layer on Fatigue Strength of Extruded AZ61 Magnesium Alloy
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Fracture Mechanics of Fiber-Matrix Interfaces in Composites under Transverse Loading
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Thermal Conductivity Design for Locally Orthotropic Materials
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Experiments Method Design Applied to Optimization of Patch Repairs for Cracked Plates
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An Automated Method for the Measurement of Fatigue Crack Progression
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Dynamic Crack Analysis in Layered Piezoelectric Composites under Time-Harmonic Loading
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A Synthesis of the Fatigue Behavior of Stainless Steel Bars under Fully Reversed Axial or Torsion Loading by Using the Specific Heat Loss
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Inner Damage and External Dent in Composite Structures after Impact – Part I: Experimental Observations
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Numerical Prediction of Damage Interaction during L-Shaped Laminated Composite Structures Unfolding
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HomeKey Engineering MaterialsKey Engineering Materials Vols. 577-578An Automated Method for the Measurement of Fatigue...

An Automated Method for the Measurement of Fatigue Crack Progression

Abstract:

This letter describes the work conducted at our laboratory for the implementation of an automated vision system for fatigue crack growth measurement. The system relies on a dedicated illumination system with grazing incidence and optimized feature extraction by morphological image processing and continuous calculation of the crack growth, for adjustment of the optimal time interval for image registration.

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Advances in Fracture and Damage Mechanics XII

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Periodical:

Key Engineering Materials (Volumes 577-578)

Pages:

445-448

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.577-578.445

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Online since:

September 2013

Authors:

Paulo Tavares, N.S. Viriato, Pedro Moreira

Keywords:

Crack Growth Rate, Crack-Tip Progression, Fatigue Crack, Image Processing, Optical Metrology

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References

[1] Florent Mathieu, François Hild, Stéphane Roux: "Image-based identification procedure of a crack propagation law", Engineering Fracture Mechanics (2012), in press

DOI: 10.1016/j.engfracmech.2012.05.007

Google Scholar

[2] Clark W. G., Hudack Jr. S. J.: Journal of Testing and Evaluation 3 (1975), p.454–76

Google Scholar

[3] P. M. G. P. Moreira, et al Theoretical and Applied Fracture Mechanics 50 (2008), pp.81-91

Google Scholar

[4] Salembier, Philippe. "Comparison of some morphological segmentation algorithms based on contrast enhancement. Application to automatic defect detection." 5. European Signal Processing Conference. Vol. 2. (1990)

Google Scholar

[5] ASTM E647-05, Standard Test Method for Measurement of Fatigue Crack Growth Rates. 2007.

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