Table of Contents
Textures and Microstructures
Volume 14 (1991)–18
http://dx.doi.org/10.1155/TSM.14-18.793

The Effect of Measurement Geometry for on-Line Texture Analyzing Systems

Department of Metallurgical Engineering, McGill University, 3450 University St., Montreal, Quebec H3A 2A7, Canada

Copyright © 1991 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

A laboratory prototype of a system for the measurement of texture on-line in the manufacturing process of steel or aluminum is being built at McGill University. In order to test the effect that the different measurement geometry, i.e an angular dispersive reflection or an energy dispersive transmission geometry, has on the calculation of the coefficients of the orientation distribution function (ODF), a number of simulated texture measurements were done for both geometries. The effect of the measured texture on the prediction of magnetic torque was also studied.

In general, there is good agreement between the textures calculated by simulating the two measurement geometries and the original texture used to recalculate the pole figures from which the simulation data was extracted. The results also showed that, for the slightly inhomogeneous steel, the bulk magnetic torque predicted from the texture measurements simulating the energy dispersive, transmission geometry was only slightly better than that predicted from the angular dispersive, reflection geometry. In the case of the inhomogeneous steel, the prediction from the transmission geometry was significantly better than that of the reflection geometry. It has been shown that measurement geometry for on-line texture analyzing systems has a significant impact on the accuracy of the texture information obtained and the prediction of certain property anisotropies, especially for those sheet materials exhibiting significant through-thickness inhomogeneity.