Inexpensive spatial position system for the improvement of manual ultrasound NDT
Conference paper
Al Rashed, MA, Sattar, TP and Oumar, OA (2014). Inexpensive spatial position system for the improvement of manual ultrasound NDT. 53rd Annual Conference of the British Institute of Non-Destructive Testing (NDT 2014). Manchester 09 - 11 Sep 2014
| Authors | Al Rashed, MA, Sattar, TP and Oumar, OA |
|---|---|
| Type | Conference paper |
| Abstract | Manual Ultrasonic Non Destructive Testing (MUT) is vital in safety critical industries such as aerospace, chemical processing and power generation and is also well-known for its higher attainable flaw sensitivity than all other volumetric Non Destructive Testing systems. MUT generally provides cost-effective and high sensitivity to flaw detection whenever short distances and/or practical access to pieces under inspection are involved. But the probability of defect detection by MUT is reduced by the influence of human factors. Therefore the aim is to improve the reliability of manual ultrasonic testing by developing an ICT enabled system based on an inexpensive spatial positioning system that during inspection will enable intelligent monitoring and performance evaluation of the human inspector, comparing the data collected from the spatial positioning system and NDT sensors against the requirements of the inspection procedure. This paper describes the development of an inexpensive wireless system comprising of an optical spatial positioning system and inertial measurement unit (IMU) that relates the 3D location of an NDT probe carried by an inspector to a computer aided drawing (CAD) representation of the test structure in a MATLAB environment and also creates three dimensional visualisation of the flaws in that test structure. |
| Year | 2014 |
| Journal | NDT 2014 - 53rd Annual Conference of the British Institute of Non-Destructive Testing |
| Accepted author manuscript | License |
| Publication dates | |
| 11 Sep 2014 | |
| Publication process dates | |
| Deposited | 18 Dec 2018 |
| Accepted | 09 Sep 2014 |
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