Imperial College London

ProfessorMichaelLowe

Faculty of EngineeringDepartment of Mechanical Engineering

Head of Department of Mechanical Engineering
 
 
 
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Contact

 

+44 (0)20 7594 7000m.lowe Website

 
 
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Assistant

 

Ms Nina Hancock +44 (0)20 7594 7068

 
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Location

 

577DCity and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Kalkowski:2021:10.1016/j.ultras.2021.106387,
author = {Kalkowski, MK and Lowe, MJS and Barth, M and Rjelka, M and Köhler, B},
doi = {10.1016/j.ultras.2021.106387},
journal = {Ultrasonics},
title = {How does grazing incidence ultrasonic microscopy work? A study based on grain-scale numerical simulations},
url = {http://dx.doi.org/10.1016/j.ultras.2021.106387},
volume = {114},
year = {2021}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Grazing incidence ultrasonic microscopy (GIUM) is an experimental method for visualising the microstructures of polycrystals with local preferential orientations. It has previously been demonstrated on an austenitic stainless steel weld, exposing grains much smaller than the propagating wavelength, but the physical mechanism of the method has only been proposed as a hypothesis. In this paper, we use grain-scale finite element simulations based on the EBSD measurements to verify the principles behind GIUM images further and to assess how deep does the method penetrate the component under examination. The simulations indicate that while lateral contraction of grains contains microstructure signatures, the free surface effect is the crucial factor contributing to the generation of the images. Further, we show that only features up to the depth in the order of the average grain size in that direction can be visualised.
AU - Kalkowski,MK
AU - Lowe,MJS
AU - Barth,M
AU - Rjelka,M
AU - Köhler,B
DO - 10.1016/j.ultras.2021.106387
PY - 2021///
SN - 0041-624X
TI - How does grazing incidence ultrasonic microscopy work? A study based on grain-scale numerical simulations
T2 - Ultrasonics
UR - http://dx.doi.org/10.1016/j.ultras.2021.106387
UR - https://www.ncbi.nlm.nih.gov/pubmed/33610965
UR - http://hdl.handle.net/10044/1/87549
VL - 114
ER -