Metallurgical and Materials Transactions A

, Volume 39, Issue 3, pp 679–687 | Cite as

Prediction of Elastic Modulus + Anisotropy Using X-Ray and Electron Backscattered Diffraction Texture Quantification and Ultrasonic (Electromagnetic Acoustic Transducer) Measurements in Aluminum Sheets

  • C.L. DavisEmail author
  • M. Strangwood
  • M. Potter
  • S. Dixon
  • P.F. Morris


Crystallographic texture is generally measured using X-ray diffraction, performed off-line using small samples determining near-surface texture only; electron backscattered diffraction (EBSD) can also be used, but only samples relatively small areas. Ultrasonic methods determine elastic property anisotropy and texture, via orientation distribution coefficients (ODCs), and while there is substantial literature comparing ultrasonically determined properties with X-ray or neutron diffraction texture, there is little discussion about texture inhomogeneity (place to place in a sheet or through thickness) and sampling volume effects (X-ray compared to EBSD) on the accuracy of the correlations. In this article, the crystallographic texture of nominally pure aluminum and commercial aluminum alloy sheets has been determined by X-ray diffraction and EBSD and used to calculate the elastic anisotropy, which is then compared to ultrasonic electromagnetic acoustic transducer (EMAT) velocity anisotropy taking into account through-thickness texture variations. Significant and consistent spatial variability in texture occurs in the aluminum sheet samples (sheet edge to center and through thickness). Predictions of elastic anisotropy based on surface texture determination, as characterized by X-ray diffraction or surface EBSD, gave poor correlations with EMAT velocity anisotropy when the sample contained significant through thickness texture variations; however, accounting for this using multiple EBSD scans through thickness gave good correlations.


Texture Component Ultrasonic Velocity Aluminum Sheet Rolling Texture Cube Texture 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The authors thank the United Kingdom Engineering and Physical Sciences Research Council for its support of this research. The experimental work carried out by Dr. Ahmad Sulaiman, Tracey Holmes, and Jim Morrison is gratefully acknowledged. The assistance of Dr. Jerry Lord, National Physical Laboratory, in measuring the mechanically determined elastic modulus values is very gratefully acknowledged.


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Copyright information

© The Minerals, Metals & Materials Society and ASM International 2008

Authors and Affiliations

  • C.L. Davis
    • 1
    Email author
  • M. Strangwood
    • 1
  • M. Potter
    • 2
  • S. Dixon
    • 2
  • P.F. Morris
    • 3
  1. 1.Department of Metallurgy and MaterialsUniversity of BirminghamEdgbaston, BirminghamUnited Kingdom
  2. 2.Department of PhysicsUniversity of WarwickCoventryUnited Kingdom
  3. 3.Corus plc., Swinden Technology CentreMoorgate, RotherhamUnited Kingdom

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