Statistical Properties of Deformed Single-Crystal Surface under Real-Time Video Monitoring and Processing in the Desktop Grid Distributed Computing Environment

Oleksandr Gatsenko; Oleksandra Baskova; Oleg Lodygensky; Gilles Fedak; Yuri Gordienko

doi:10.4028/www.scientific.net/KEM.465.306

Paper Titles

Fracture Process Characterization by Acoustic Emission Signal Components
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Cracks Detection in Mg Alloy by Electro-Ultrasonic Spectroscopy
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SEM Study of High-Chromium Martensitic Steel LCF Fracture
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A Study of Phase Transformations in Complex Metallic Alloys Al₇₃Mn₂₃Pd₄ and Al₇₃Mn₂₁Pd₆
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Statistical Properties of Deformed Single-Crystal Surface under Real-Time Video Monitoring and Processing in the Desktop Grid Distributed Computing Environment
p.306

Quantification of Carbide Distribution in PM Tool Steels with Niob Addition
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Non-Destructive Characterization of Micro-Sized Defects in the Solar Cell Structure
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Electromagnetic and Acoustic Emission Signals Real-Time Measurement, Processing and Data Evaluation
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PN Junction Defects Detection in Solar Cells Using Noise Diagnostics
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HomeKey Engineering MaterialsKey Engineering Materials Vol. 465Statistical Properties of Deformed Single-Crystal...

Statistical Properties of Deformed Single-Crystal Surface under Real-Time Video Monitoring and Processing in the Desktop Grid Distributed Computing Environment

Abstract:

Many crucial processes of damage initiation and propagation take place dynamically in the wide observable time domain from 10-3 seconds to 103 seconds and on the many scales from 10 6 m (solitary defects places) to 10-2 m (correlated linked network of defects). The new multiscale image and video processing method is used to observe and characterize the dynamic behavior of metals under mechanical deformation, record its surface evolution, and process the observed surface statistical parameters. The calculations include many parameters of physical process and video processing parameters (size distribution, anisotropy, localization, scaling parameters, etc.). The typical multiscale analysis of the dynamic video sequence (with 103-106 frames) of deformed metal surface (depicting it time evolution) takes approximately several weeks on a single modern processor. That is why the more powerful computational resources are in extreme need. The free high-performance grid-enabled version of the video processing software is designed and tested in our Desktop Grid (DG) distributed computing infrastructure (DCI).

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Periodical:

Key Engineering Materials (Volume 465)

Pages:

306-309

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.465.306

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Online since:

January 2011

Authors:

Oleksandr Gatsenko, Oleksandra Baskova, Oleg Lodygensky, Gilles Fedak, Yuri Gordienko

Keywords:

Desktop Grid, Distributed Computing, Plastic Deformation, Scaling, Surface Relief

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