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Computer-aided tool path generation for robotic non-destructive inspection

Morozov, Maxim and Pierce, Stephen and Mineo, Carmelo and Nicholson, Pascual Ian and Cooper, Ian (2013) Computer-aided tool path generation for robotic non-destructive inspection. In: 52nd Annual Conference of the British Institute of Non-Destructive Testing 2013. British Institute of Non-Destructive Testing, Telford (UK). ISBN 9781629939933

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Abstract

Compared to manual Non-Destructive Testing (NDT) for inspection of engineering components, automated robotic deployment of the same NDT techniques offers an increase in accuracy, precision and speed of inspection while reducing production time and associated labour costs. Traditionally, the robot tool path is either taught or programmed manually. Automation of NDT tool path generation, as presented in this paper, offers further significant time reduction, and an increase in the flexibility of inspection planning compared to manual robot teaching and programming. Moreover, such a solution helps to maintain a controlled probe orientation with respect to the scanned surface, and thus which can dramatically reducing lift-off noise. In this work we present the reverse engineering of complex shape test-pieces which have no CAD documentation, and the computer-aided tool scan path generation of such test-pieces as deployed by means of six-axis KUKA robotic arms. Both the use of commercial software and a custom MATLAB toolbox are explored. The tool-paths generated by commercial software are used for robotic scanning of a titanium fan blade by means of Swept Frequency Eddy Current (SFEC) method. Investigations for the future potential for integrating robotic NDT and in-line metrology are also presented.

Item type: Book Section
ID code: 54911
Keywords: robotic path planning, non-destructive tesing, non destructive inspection, Electrical engineering. Electronics Nuclear engineering, 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: 11 Dec 2015 04:19
Last modified: 09 Jun 2017 03:56
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URI: https://strathprints.strath.ac.uk/id/eprint/54911
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