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Inverse pole figure of CVD coatings of metal cutting tools using an XRD Bragg Brentano geometry

Published online by Cambridge University Press:  01 August 2022

Tomohiro Shibata Open the ORCID record for Tomohiro Shibata [Opens in a new window]
Tomohiro Shibata*
Affiliation:
Materials Science Department, Core Technology, Kennametal Inc., 1600 Technology Way, Latrobe, PA 15650, USA
*
a)Author to whom correspondence should be addressed. Electronic mail: [email protected]
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Abstract

CVD-coated cemented carbides are widely used for various metal cutting applications. It has been established that the textures of the coating materials especially that of the α-Al2O3 greatly affect the cut performance for some applications. The characterization of the coating texture is thus very important. In this paper, inverse pole figures of α-Al2O3 based on XRD with Bragg Brentano geometry were calculated for several metal cutting inserts available in the market. This method is simple, less time-consuming and can be applied to previously collected data and is compared with that of the EBSD. Despite several differences, IPF maps based on XRD powder diffraction represent the texture of metal cutting inserts.

Keywords

inverse pole figureX-ray diffractionalpha-aluminametal cutting tool
Type
Proceedings Paper
Information
Powder Diffraction , Volume 37 , Issue 2 , June 2022 , pp. 62 - 67
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Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press on behalf of International Centre for Diffraction Data

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References

Degen, T., Sadki, M., Bron, E., König, U., and Nénert, G. (2014). “The highscore suite,” Powd. Diffr. 29(S2), S13–S18.CrossRefGoogle Scholar
Engler, O. and Randle, V. (2010). Introduction to Texture Analysis, Macrotexture, Microtexture, and Orientation Mapping (CRC Press, Boca Raton, Florida, USA).Google Scholar
Harris, G. B. (1952). “Quantitative measurement of preferred orientation in rolled uranium bars,” Phil. Mag. 43(7), 113–123.CrossRefGoogle Scholar
Mizumoto, Y., Maas, P., Kakimura, Y., and Min, S. (2017). “Investigation of the cutting mechanisms and the anisotropic ductility of monocrystalline sapphire”, CIRP Ann. Manuf. Technol. 66, 89–92.CrossRefGoogle Scholar
Pecharsky, V. K. and Zavalij, P. Y. (2008). Fundamentals of Powder Diffraction and Structural Characterization of Materials (Springer, New York), 2nd ed.Google Scholar
Ruppi, S. (2008). “Enhanced performance of α Al2O3 coatings by control of crystal orientation,” Surf. Coat. Technol. 202, 4257–4269.CrossRefGoogle Scholar
Shoja, S., Alm, O., Norgren, S., Andren, H.-O., and Halvarsson, M. (2021). “Calculated and experimental Schmid factors for chip flow deformation of textured CVD α-alumina coatings,” Surf. Coat. Technol. 412, 126991.CrossRefGoogle Scholar
Stylianou, R., Tkadletz, M., Schalk, N., Penoy, M., Czettl, C., and Mitterer, C. (2019). “Effects of reference materials on texture coefficients determined for a CVD α-Al2O3 coating,” Surf. Coat. Technol. 359, 314–322.CrossRefGoogle Scholar
Vaudin, M. D. (2001). “Crystallographic texture in ceramics and metals,” J. Res. Natl. Inst. Stand. Technol. 106, 1063–1069.CrossRefGoogle ScholarPubMed