Review of Progress in Quantitative Nondestructive Evaluation 1987
DOI: 10.1007/978-1-4613-1893-4_134
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A Morphological Study of Porosity Defects in Graphite-Epoxy Composites

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Cited by 29 publications
(27 citation statements)
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“…This represents a far more uniform percentage increase in backscatter over azimuthal angle than was previously reported in work which considered the effects of introducing spherical inclusions (glass spheres) into a fiber-reinforced matrix [3). The explanation for this more uniform percentage increase is possibly provided by the cylindrical morphology of porosity observed in the specimens of this study [6). It is conceivable that scattering from cylindrical porosity displays an angular dependence quite similar to scattering by the fiber-related internal structures.…”
Section: Angular Dependence Of Backscattermentioning
confidence: 58%
“…This represents a far more uniform percentage increase in backscatter over azimuthal angle than was previously reported in work which considered the effects of introducing spherical inclusions (glass spheres) into a fiber-reinforced matrix [3). The explanation for this more uniform percentage increase is possibly provided by the cylindrical morphology of porosity observed in the specimens of this study [6). It is conceivable that scattering from cylindrical porosity displays an angular dependence quite similar to scattering by the fiber-related internal structures.…”
Section: Angular Dependence Of Backscattermentioning
confidence: 58%
“…The porosity in these specimens has been shown to possess a cylindrical morphology [9]. Likewise, the fiber-related inhomogeneities possess a cylindrical morphology.…”
Section: Angular Dependence Of Backscattermentioning
confidence: 91%
“…Equation ( In order to analyze scattering amplitude distributions in a research environment, a flaw distribution must be assumed. In certain cases, the size distribution associated with voids or Inclusions is approximately lognormal (Hatch and Choate 1929, Hatch 1933, Kottler 1950, Hahn and Shapiro 1967, Gubernatis and Domany 1983, Thompson et al 1983a, Hsu and Uhl 1987. The random variable analyses and subsequent filter analyses Note as demonstrated by the figure, the lower the low coefficient of variation the more symmetric and Gaussian the lognormal distribution (Hatch and Choate 1929, Hahn and Shapiro 1967, Haugen 1968).…”
Section: Distributionmentioning
confidence: 96%