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TILT-A-WHIRL: a texture analysis package for 3D rendering of pole figures using Matlab

Published online by Cambridge University Press:  18 April 2013

Mark A. Rodriguez ,
Megan R. Pearl ,
Mark H. Van Benthem ,
James J. M. Griego  and
Jamin R. Pillars
Mark A. Rodriguez*
Affiliation:
Sandia National Laboratories, Albuquerque, New Mexico 87185-1411
Megan R. Pearl
Affiliation:
Sandia National Laboratories, Albuquerque, New Mexico 87185-1411
Mark H. Van Benthem
Affiliation:
Sandia National Laboratories, Albuquerque, New Mexico 87185-1411
James J. M. Griego
Affiliation:
Sandia National Laboratories, Albuquerque, New Mexico 87185-1411
Jamin R. Pillars
Affiliation:
Sandia National Laboratories, Albuquerque, New Mexico 87185-1411
*
a)Author to whom correspondence should be addressed. Electronic mail: [email protected]
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Abstract

A new Matlab-based software suite called Tilt-A-Whirl has been applied to XRD data from textured gold films electro-deposited onto nickel substrates. The software routines facilitate phase identification, texture analysis via pole figure visualization, and macrostrain determination. The use of principal component analysis with multivariate curve resolution (PCA/MCR) revealed the extraction of texture components. The unusual hardness properties of one Au film (deposited from a 30% gold depleted BDT-200 bath) were found to be dependent on the (210) out-of-plane preferred orientation of the polycrystalline gold film. The progressive nucleation of Au crystallites during electro-plating has been tied to improved hardness properties of this film.

Keywords

texture analysispole figuresmacrostrainAu film on Ni substrate
Type
Technical Articles
Information
Powder Diffraction , Volume 28 , Issue 2 , June 2013 , pp. 81 - 89
Copyright
Copyright © International Centre for Diffraction Data 2013 

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References

Bunge, H. J. and Esling, C. (1982). Quantitative Texture Analysis (Deutsche Gesellschaft fur Metallkunde, Oberursel, Germany), pp. 92–95.Google Scholar
Clegg, W. (1998). Crystal Structure Determination. Oxford Chemistry Primers (Oxford University Press, Oxford, England), pp. 30–31.Google Scholar
Cullity, B. D. (1978a). Elements of X-Ray Diffraction (Addison-Wesley, Reading, MA), 2nd ed., pp. 295–321.Google Scholar
Cullity, B. D. (1978b). Elements of X-Ray Diffraction (Addison-Wesley, Reading, MA), 2nd ed., p. 75.Google Scholar
Frazer, C. S., Rodriguez, M. A., and Tissot, R. G. (2006). “Three-dimensional interactive data language pole figure visualization,” Powder Diffr. 21, 102–104.CrossRefGoogle Scholar
Jenkins, R. and Snyder, R. L. (1996). Introduction to X-ray Powder Diffractometry (Wiley and Sons, New York), pp. 58–61.CrossRefGoogle Scholar
Jollife, I. T. (2002). Principal Component Analysis (Springer-Verlag, New York), 2nd ed.Google Scholar
Keenan, M. R. and Kotula, P. G. (2004). “Accounting for Poisson noise in the multivariate analysis of ToF-SIMS spectrum images,” Surf. Interface Anal. 36, 203–212.CrossRefGoogle Scholar
Materials Data, Inc (2011). Jade ver. 9.4.1 (Materials Data, Inc., Livermore, California).Google Scholar
Noyan, I. C., Huang, T. C., and York, B. R. (1995). “Residual stress/strain analysis in thin films by X-ray diffraction,” Crit. Rev. Solid State Mater. Sci. 20, 125–177.CrossRefGoogle Scholar
PDF (2011). PDF4+ 2011 Database, Gold (Au), entry # (00-004-0784), International Centre for Diffraction Data, Newtown Square, PA.Google Scholar
PDF, (2012). PDF4+ database, Gold, entry # 00-004-0784. International Centre for Diffraction Data, Newtown Square, PA.Google Scholar
Rizze, A. C., Watkins, T. R., and Payzant, E. A. (2008). “Elaboration on the hexagonal grid and spiral trace schemes for pole figure data collection,” Powder Diffr 23, 89–91.Google Scholar
Rodriguez, M. A., Keenan, M. R., and Nagasubramanian, G. (2007). “In situ X-ray diffraction analysis of (CFx)n batteries: signal extraction by multivariate analysis,” J. Appl. Cryst. 40, 1097–1104.CrossRefGoogle Scholar
Rodriguez, M. A., Van Benthem, M. H., Ingersoll, D., Vogel, S. C., and Reiche, H. M. (2010). “In situ analysis of LiFePO4 batteries: signal extraction by multivariate analysis,” Powder Diffr. 25, 143–148.CrossRefGoogle Scholar
The Mathworks (2012). Matlab. Version 7.14.0.739 (The Mathworks Inc., Natick, MA).Google Scholar
Van Benthem, M. H., Keenan, M. R. and Haaland, D. M. (2002). “Application of equality constraints on variables during alternating least squares procedures,” J. Chemometrics, 16, 613–622.CrossRefGoogle Scholar
Wenk, H. -R. and Van Houtte, P. (2004). “Texture and anisotropy,” Rep. Prog. Phys, 67, 1367–1428.CrossRefGoogle Scholar