2006
DOI: 10.2320/matertrans.47.1313
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Application of Two-Point Orientation Auto-Correlation Fucntion (TP-OACF)

Abstract: A two-point orientation auto-correlation function (TP-OACF) was developed in order to quantify the spatial distribution of targeted texture components. An example of a TP-OACF was demonstrated using an idealized orientation map. Characteristics of the spatial distribution of major texture components in 6022-T4 Al sheets deformed in plane-strain tension were also quantified using a TP-OACF. The results showed that f110gh1 " 1 12i and f123gh63 " 4 4i orientations (in fNDghPDi notation, where PD is the pulling di… Show more

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Cited by 3 publications
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“…In this case, we employed the areal auto correlation function (AACF), which was successfully applied to highlight the alignments of surface roughness features or of crystallographic orientations. [21][22][23][24] The analyzed data for grayscale intensity X ij are transformed into Fourier space X ij by the use of a discrete fast Fourier transformation (FFT). An FFT mixed-radix algorithm was chosen in order to enable calculation on data sizes different from powers of 2.…”
Section: B Fourier Analysismentioning
confidence: 99%
“…In this case, we employed the areal auto correlation function (AACF), which was successfully applied to highlight the alignments of surface roughness features or of crystallographic orientations. [21][22][23][24] The analyzed data for grayscale intensity X ij are transformed into Fourier space X ij by the use of a discrete fast Fourier transformation (FFT). An FFT mixed-radix algorithm was chosen in order to enable calculation on data sizes different from powers of 2.…”
Section: B Fourier Analysismentioning
confidence: 99%