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Accurate finite element model of equiaxed-grain engineering material for ultrasonic inspection

Xiao, Bo and O'Leary, Richard and Gachagan, Anthony and Li, Wenqi and Burnett, Timothy (2015) Accurate finite element model of equiaxed-grain engineering material for ultrasonic inspection. In: IEEE 2014 International Ultrasonics Symposium, 2014-09-03 - 2014-09-06, Hilton.

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Abstract

Finite element (FE) simulation of grained material with equiaxed grain distribution is of interest for the virtual prototyping of array structures and the assessment of signal processing algorithms. Construction of such models can be computationally intensive due to the large number of crystallographic orientations required to represent the material. This paper concentrates on analysis and processing of orientation data in order to establish a computationally efficient 2D FE model whilst maintaining appropriate accuracy of the grained structure. Two approaches for orientation processing are proposed and their performances are compared. Parametric studies show that the trade-off between computational overhead and model accuracy will reach the optimal point when Euler space is segmented with a bin size of 15 degree per Euler phase. A transducer array is then incorporated into the FE model to generate B-scan image of the material. The image is compared with experimental equivalent for FE model validation purpose. The minor difference of images proves that the constructed FE model is accurate, highlighting the potential of the proposed methods for application on other equiaxed-grain materials.

Item type: Conference or Workshop Item (Paper)
ID code: 49412
Keywords: material characterization, equiaxed-grain material, accurate modelling, finite element method, Electrical engineering. Electronics Nuclear engineering, Acoustics and Ultrasonics, Electrical and Electronic Engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset Management
Depositing user: Pure Administrator
Date deposited: 30 Sep 2014 11:14
Last modified: 16 Oct 2017 10:51
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URI: https://strathprints.strath.ac.uk/id/eprint/49412
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