Orientation Characterisation of Aerospace Materials by Spatially Resolved Acoustic Spectroscopy

3rd International Symposium on Laser Ultrasonics and Advanced Sensing

Li, Wenqi^1 ; Coulson, Jethro^1 ; Aveson, John W.^2 ; Smith, Richard J.^1 ; Clark, Matt^1 ; Somekh, Michael G.^1 ; Sharples, Steve D.^1

Applied Optics Group, Faculty of Engineering, University of Nottingham, University Park, NG7 2RD, United Kingdom^1

Department of Materials Science and Metallurgy, University of Cambridge, 27 Charles Babbage Road, Cambridge CB3 0FS, United Kingdom^2

关键词: Aerospace materials;    Crystallographic orientations;    Crystallographic structure;    Electron back scatter diffraction;    Industrial materials;    Material characteristics;    Spatially resolved;    Ultrasonic properties;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/520/1/012017/pdf
DOI  :  10.1088/1742-6596/520/1/012017

来源: IOP

【 摘 要 】

Material characteristics in metals such as strength, stiffness and fracture resistance are strongly related to the underlying microstructure. The crystallographic structure and orientation are related to the ultrasonic properties through the stiffness matrix. In individual grains it is possible to analytically determine the ultrasonic velocity from the orientation and stiffness, or determine the stiffness from the known orientation and measured velocity. In this paper we present a technique for imaging the crystallographic orientation of grains in metals using spatially resolved acoustic spectroscopy (SRAS) and a novel inverse solver that can determine the crystallographic orientation from the known stiffness matrix for the material and the SRAS velocity measurement. Previously we have shown the ability of this technique to determine the orientation on single crystal nickel samples; we extended the technique to multigrain industrial metals, such as aluminium, nickel and Inconel. The comparison between SRAS and electron backscatter diffraction (EBSD) on the nickel sample is presented. SRAS is a fast, accurate, quantitative and robust technique for imaging material microstructure and orientation over a wide range of scales and industrial materials.