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Application of laser-ultrasonics to texture measurements in metal processing
RISE - Research Institutes of Sweden, Swerea, Swerea KIMAB.
RISE - Research Institutes of Sweden, Swerea, Swerea KIMAB.
RISE - Research Institutes of Sweden, Swerea, Swerea KIMAB.
RISE - Research Institutes of Sweden, Swerea, Swerea KIMAB.
2017 (English)In: Acta Materialia, ISSN 1359-6454, E-ISSN 1873-2453, Vol. 123, p. 329-336Article in journal (Refereed) Published
Abstract [en]

The paper describes in principle how information about textures can be obtained through the application of laser-ultrasonics (LUS) which can be carried out at elevated temperatures, for example in connection with hot rolling. The benefits from getting a measure of texture in this way are explained together with the proposed methodology which is based on the elastic anisotropic properties of the textured material. Measurements are made using only a single laser pulse and in real-time. Two approaches are presented to modelling the propagation of elastic waves, ray tracing and finite difference modelling. These give consistent results but the latter provides a more complete prediction of the ultrasonic spectrum that can be quantitatively related to measured signals through a cross-correlation procedure. Some experimental results are presented for room temperature measurements on a sheet of interstitial-free steel. Agreement between experimental data and modelling results is good and allows estimation of the 4th order coefficients of the orientation distribution function.

Place, publisher, year, edition, pages
2017. Vol. 123, p. 329-336
Keywords [en]
Laser-ultrasonics, Modelling, Texture, Distribution functions, Elastic waves, Models, Ray tracing, Temperature measurement, Textures, Ultrasonics, Anisotropic property, Application of laser, Cross correlations, Elevated temperature, Interstitial free steel, Laser ultra-sonics, Orientation distribution function, Texture measurement, Hot rolling
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-29362DOI: 10.1016/j.actamat.2016.10.043Scopus ID: 2-s2.0-84993964527OAI: oai:DiVA.org:ri-29362DiVA, id: diva2:1093788
Available from: 2017-05-08 Created: 2017-05-08 Last updated: 2017-05-08Bibliographically approved

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