where expertise comes together - since 1996 -

The Largest Open Access Portal of Nondestructive Testing (NDT)

Conference Proceedings, Articles, News, Exhibition, Forum, Network and more

where expertise comes together
- since 1996 -
NDT.net Issue - 2012-01 - NEWS
NDT.net Issue: 2012-01
Publication: e-Journal of Nondestructive Testing (NDT) ISSN 1435-4934 (NDT.net Journal)

K.U.Leuven floor sensor wins Aerospace Award at Stanford University workshop

Catholic University of Leuven (KU Leuven) 105, Leuven, Belgium

From September 13 to 15 Stanford University organised the 8th International Workshop on Structural Health Monitoring (SHM). At the workshop, Dr. Helge Pfeiffer of the K.U.Leuven Department of Metallurgy and Materials Engineering presented the K.U.Leuven floor sensor that detects liquids in places that are difficult to access. The floor sensor won 'The most Practical SHM Solution in Aerospace Award'.

The floor sensor research is part of the European Aircraft Integrated Structural Health Assessment II (AISHA II) project, which is a cooperation of several partners and is coordinated by K.U.Leuven. Dr. Helge Pfeiffer (see picture, left) is project manager of AISHA II, professor Martine Wevers is project coordinator. The Most Practical SHM Solution in Aerospace Award was sponsored by AIRBUS. Holger Speckmann (see picture, right) represented AIRBUS at the workshop.

By detecting wet spots in an aeroplane in an early stage, it is no longer necessary to fully dismantle the aeroplane for maintenance. Aeroplanes thus need to be kept on the ground for a shorter period of time, saving a lot of time and costs.

Have a look at the presentation of Dr. Helge Pfeiffer on You Tube: ()


More from "Catholic University of Leuven (KU Leuven) " (5 of 104)
2020-02Efficient TR-MUSIC damage detection in composites with a limited number of sensors
2020-01Numerical Modelling of Corroded Reinforced Concrete Beams Based on Visual Inspection Data
2019-11Robot accuracy and its impact on robot-CT reconstruction quality
2019-11Focal spot characterization of an industrial X-ray CT scanner
2019-03Defect detection in 3D printed carbon fibre composites using X-ray Computed Tomography
... All 104 Details >
We use technical and analytics cookies to ensure that we will give you the best experience of our website - More Info
this is debug window