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    Enhancement Techniques for Ultrasonic Nondestructive Evaluation of Composite Materials

    Source: Journal of Engineering Materials and Technology:;1990:;volume( 112 ):;issue: 002::page 175
    Author:
    S. C. Wooh
    ,
    I. M. Daniel
    DOI: 10.1115/1.2903304
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Conventional ultrasonic C-scanning sometimes produces distorted and degraded images due to a variety of reasons, including surface roughness, beam dispersion, extraneous noise and imperfect fidelity of the total acquisition system. Enhancement techniques, using computer data acquisition and processing, can be used to enhance and restore the image. Enhancement techniques described include contrast stretching and median filtering, histogram equalization, thresholding, dynamic thresholding, thresholding depending on boundary characteristics, one-dimensional segmentation and intensity scans with hidden line removal. These enhancement techniques were applied and illustrated for five different types of damage in graphite/epoxy composite materials: (1) Embedded film patch in quasi-isotropic laminate; (2) impact damage in quasi-isotropic laminate; (3) matrix cracking due to static loading of crossply laminate; (4) fatigue damage in crossply laminate; and (5) thermally induced cracks in a thick crossply laminate. There is no single technique that is optimum in all cases. A suitable combination of techniques must be selected for optimum image quality.
    keyword(s): Nondestructive evaluation , Composite materials , Laminates , Surface roughness , Filtration , Epoxy adhesives , Noise (Sound) , Fracture (Materials) , Fracture (Process) , Computers , Fatigue damage , Graphite , Image segmentation AND Data acquisition ,
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      Enhancement Techniques for Ultrasonic Nondestructive Evaluation of Composite Materials

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/107011
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    contributor authorS. C. Wooh
    contributor authorI. M. Daniel
    date accessioned2017-05-08T23:32:48Z
    date available2017-05-08T23:32:48Z
    date copyrightApril, 1990
    date issued1990
    identifier issn0094-4289
    identifier otherJEMTA8-26934#175_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/107011
    description abstractConventional ultrasonic C-scanning sometimes produces distorted and degraded images due to a variety of reasons, including surface roughness, beam dispersion, extraneous noise and imperfect fidelity of the total acquisition system. Enhancement techniques, using computer data acquisition and processing, can be used to enhance and restore the image. Enhancement techniques described include contrast stretching and median filtering, histogram equalization, thresholding, dynamic thresholding, thresholding depending on boundary characteristics, one-dimensional segmentation and intensity scans with hidden line removal. These enhancement techniques were applied and illustrated for five different types of damage in graphite/epoxy composite materials: (1) Embedded film patch in quasi-isotropic laminate; (2) impact damage in quasi-isotropic laminate; (3) matrix cracking due to static loading of crossply laminate; (4) fatigue damage in crossply laminate; and (5) thermally induced cracks in a thick crossply laminate. There is no single technique that is optimum in all cases. A suitable combination of techniques must be selected for optimum image quality.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleEnhancement Techniques for Ultrasonic Nondestructive Evaluation of Composite Materials
    typeJournal Paper
    journal volume112
    journal issue2
    journal titleJournal of Engineering Materials and Technology
    identifier doi10.1115/1.2903304
    journal fristpage175
    journal lastpage182
    identifier eissn1528-8889
    keywordsNondestructive evaluation
    keywordsComposite materials
    keywordsLaminates
    keywordsSurface roughness
    keywordsFiltration
    keywordsEpoxy adhesives
    keywordsNoise (Sound)
    keywordsFracture (Materials)
    keywordsFracture (Process)
    keywordsComputers
    keywordsFatigue damage
    keywordsGraphite
    keywordsImage segmentation AND Data acquisition
    treeJournal of Engineering Materials and Technology:;1990:;volume( 112 ):;issue: 002
    contenttypeFulltext
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