Full matrix capture with time-efficient auto-focusing of unknown geometry through dual-layered media

Sutcliffe, Mark and Weston, Miles and Charlton, Peter and Donne, Kelvin E. and Wright, Ben and Cooper, Ian (2013) Full matrix capture with time-efficient auto-focusing of unknown geometry through dual-layered media. Insight - Non-Destructive Testing and Condition Monitoring, 55 (6). ISSN 1354-2575

[img]
Preview
Text
Sutcliff, M.et al..(2013)Full Matrix capture with time-efficient.pdf.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial.

Download (1MB) | Preview
Official URL: http://www.bindt.org/

Abstract

This paper presents a method for time-efficient auto-focusing through a profile of unknown geometry applicable to immersion testing. It is demonstrated that capture of the complete time domain signal using the full matrix capture technique allows for rapid ultrasonic profile mapping of a complex geometry through the use of Fermat’s principle to find the point of incidence at the reflective interface. Through advanced optimisation and parallelisation of the algorithms over the graphic processing unit, it is demonstrated that rapid inspections are possible, given that the geometry falls within the limits defined for the algorithm. To demonstrate this, a linear array transducer is mounted to a perspex shoe where auto-focusing is performed to generate ultrasonic imagery of side-drilled holes through a curved surface.

Item Type: Article
Uncontrolled Keywords: Immersion testing Fermat's principle Time-efficient auto-focusing
Subjects: Q Science > QC Physics
T Technology > TJ Mechanical engineering and machinery
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Institutes and Academies > Wales Institute for Science & Art (WISA) > Academic Discipline: Applied Computing
Depositing User: Professor Peter Charlton
Date Deposited: 19 Jan 2017 12:31
Last Modified: 12 Apr 2023 11:14
URI: https://repository.uwtsd.ac.uk/id/eprint/690

Administrator Actions (login required)

Edit Item - Repository Staff Only Edit Item - Repository Staff Only