Image Processing Techniques Applied to Automatic Measurement of the Fatigue-Crack

Dae Hyun Ryu; Seung Hoon Nahm

doi:10.4028/www.scientific.net/KEM.297-300.34

Paper Titles

A Study on the Low Cycle Fatigue Behavior of the Steel for Shipbuilding Industry
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Fatigue Life Prediction of the Vulcanized Natural Rubber
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Contact Fatigue Life Prediction under EHL Contact
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Fatigue Life Evaluation for a Reaping Knife of Combine
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Image Processing Techniques Applied to Automatic Measurement of the Fatigue-Crack
p.34

Analytical Study on Biaxial Strength of Structural Ceramics under Tension-Compression Condition
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Development of Corroded Gas Pipeline Assessment Program Based on Limit Load Solution
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Measurement of Continuous Micro-Tensile Strain Using Micro-ESPI Technique
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Calculation of Local Stress-Strain Behavior at Notches for Non-Masing Material under Cyclic Loading
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HomeKey Engineering MaterialsKey Engineering Materials Vols. 297-300Image Processing Techniques Applied to Automatic...

Image Processing Techniques Applied to Automatic Measurement of the Fatigue-Crack

Abstract:

A crack detection system was developed to observe growth behavior of fatigue crack using the digital image processing techniques. The crack propagation behavior was observed successfully by combining block matching method and inclination threshold value method. The data obtained with this new system agreed with the existent data and the standard deviation was 0.03%. If the proposed method is utilized to develop a crack monitoring system to observe the crack growth behavior automatically, the time and effort needed for a fatigue test could be dramatically reduced. And also it will be easier to estimate and to manage efficiently the safety and residual life of industrial facilities.

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Periodical:

Key Engineering Materials (Volumes 297-300)

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34-39

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.297-300.34

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Online since:

November 2005

Authors:

Dae Hyun Ryu, Seung Hoon Nahm

Keywords:

Automatic Measurement, Fatigue Crack, Image Processing

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References

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