Title / Author(s) / Keywords
|
Publication | Date |
 A Testia Research and Development Project: Metal Powder Characterization with CT TESTIA France 34, Toulouse, France NEWS
| NDT.net Journal
| 2019-10 |
 TESTIA praised for its International Internship programme TESTIA France 34, Toulouse, France
NEWS
| NDT.net Journal
| 2019-10 |
 Testia Newsletter Sept/Oct 2019 TESTIA France 34, Toulouse, France NEWS
| NDT.net Journal
| 2019-10 |
 Testia in cooperation with Airbus MPandT and Premium Aerotec Nordenham TESTIA France 34, Toulouse, France NEWS
| NDT.net Journal
| 2019-08 |
 Testia Newsletter June/July - 2019 TESTIA France 34, Toulouse, France NEWS
| NDT.net Journal
| 2019-08 |
 The new Smart UE1: TESTIA’s all-in-one promise for faster and easier Aircraft inspections TESTIA GmbH 5, Bremen, Germany
NEWS
| NDT.net Journal
| 2019-07 |
 Testia Newsletter March - 2019 TESTIA France 34, Toulouse, France NEWS
| NDT.net Journal
| 2019-04 |
 ENSIA, An Airbus Company Opens a New Branch in Seville TESTIA France 34, Toulouse, France NEWS
| NDT.net Journal
| 2019-03 |
 Lufthansa Technik on board with the Thickness Tool TESTIA France 34, Toulouse, France NEWS
| NDT.net Journal
| 2019-02 |
 TESTIA Newsletter January 2019 TESTIA France 34, Toulouse, France NEWS
| NDT.net Journal
| 2019-02 |
 TESTIA, an Airbus Company under the spotlight at Air Convention TESTIA France 34, Toulouse, France NEWS
| NDT.net Journal
| 2018-11 |
 InFactory now part of TESTIA TESTIA France 34, Toulouse, France NEWS
| NDT.net Journal
| 2018-11 |
Data-driven metamodeling approaches combined to physical models and dedicated to operational NDT simulations D. Rodat1 4, F. Guibert2 4, N. Dominguez1 28, P. Calmon3 23 1 AIRBUS OPERATIONS SAS 22, Toulouse, France 2TESTIA France 34, Toulouse, France 3LIST; Commissariat Energie Atomique (CEA) 288, Gif-Sur-Yvette, France Aerospace, Composite materials, Ultrasonics
Close
From manufacturing to in-service inspections, aircraft structures are under close monitoring through Non-Destructive Testing (NDT) techniques. A large number of these inspections relies on human operators, especially in the context of in-service airplane maintenance. The resulting signal fluctuations and diagnosis errors can be limited by careful operator training, and must be taken into account anyway when it comes to the qualification of NDT procedures or the development of diagnosis assistant algorithms. Managing human-related variability requires a large number of experiments involving different operators and flawed parts. For expensive aeronautical structures, the related costs are drastically increased. To tackle this challenge, the concept of operational NDT simulator was proposed. The simulator is equivalent to a classical NDT equipment but the displayed signals are generated using a mathematical model: expensive flawed parts are replaced by a representative mock-up and defects are numerically added where required. The underlying model must ensure a realism and a computation speed high enough to replace reality. Classical approaches to numerical simulations cannot meet both requirements; data-driven modelling techniques are thus investigated.
A proof of concept is proposed in the case of ultrasound inspections of composite structures. From the modelling perspective, the investigated strategy relies as much as possible on experimental data to ensure a high level of realism. Two different defect types are considered. A model of impact damage C-scans is built from a database of real impact inspections. The case of Flat Bottom Hole (FBH) defects is also studied with a meta-modelling approach applied on real data and enhanced by a physical knowledge. The resulting FBH model is able to efficiently replace real signals: certified NDT operators did not distinguish simulations from real signals. Thus, the operational NDT simulator can become a valuable tool to improve significantly any operations affected by human factors.
| ECNDT 2018 Session: Meta Modeling | 2018-08 |
 Testia GmbH enters the wind energy business with SHM TESTIA France 34, Toulouse, France NEWS
| NDT.net Journal
| 2018-03 |
 TESTIA WORLDWIDE NEWSLETTER February 2018 TESTIA France 34, Toulouse, France NEWS
| NDT.net Journal
| 2018-03 |
 Airbus praises the LineMAP/LineSIZING combo TESTIA France 34, Toulouse, France NEWS
| NDT.net Journal
| 2018-02 |
 Testia GmbH qualified for CT TESTIA France 34, Toulouse, France NEWS
| NDT.net Journal
| 2018-02 |
 TESTIA WORLDWIDE NEWSLETTER January 2018 TESTIA France 34, Toulouse, France NEWS
| NDT.net Journal
| 2018-02 |
2018-02 iCT 2018 Materials Characterisation Computed Tomography Inspection of Additive Manufactured Components in Aeronautic Industry D. Kiefel1 8, M. Scius-Bertrand1 , R. Stoessel2 23 1TESTIA GmbH 2, Munich, Germany 2Airbus Group Innovations 8, Munich, Germany Computed Tomography, 3D-Printing, Additive Manufacturing, CT-Inspection, Aeronautic, Aerospace
Close
Possibilities of almost arbitrary complex shapes of additive manufactured (AM) components using 3D-printers enables design engineers to build lightweight structures with optimal force transmission. However, the freedom in design is often a challenge for non-destructive testing, especially for highly-stressed AM-components with increased complexity. Thus, reliable quality assurance is an important topic to ensure highest quality in aeronautics and space industry. There are only a few NDT methods to be applied on such structures. Computed Tomography (CT) and Digital X-Ray techniques are the most important ones offering rich information of the outer geometrical metrology together with a 3-dimensional look inside the component. Moreover, quantitative analysis of volumetric characteristics can be iteratively looped with design offices. The requirements regarding permitted imperfection of aeronautic components are depending on the component purpose. There are different acceptance levels for pores in aeronautic components. Finding pores with e. g. 200 µm in diameter may lead to large CT-data, which are challenging in acquisition, reconstruction, evaluation and storage. A CT-scan of a (250 mm)3 component with a nominal voxel size of 47 µm will result in a reconstructed dataset of approximately 301 GB. The smallest pore to be found in this example will be mapped with only 33 voxels. Finding the right approach to obtain highest detection reliability of small defects in large CT-datasets is the key for time and cost saving in CT-inspection of additive manufactured components. Different ways of manual and semi-automated evaluation as well as their possibilities and limits will be discussed.
| iCT 2018 Session: Materials Characterisation | 2018-02 |
Computed Tomography Testing at remains of a glider from Otto Lilienthal R. Stoessel1 23, T. Donner2, M. Mosch3 6, M. Pamplona4 2, A. Hempfer4, D. Kiefel5 8, C. Grosse2 111 1Airbus Materials X; Airbus Group Innovations 8, Munich, Germany 2Chair of NDT, Centre for Building Materials; Technical University of Munich (TUM) 114, Munich, Germany 3Airbus Helicopters Deutschland GmbH 12, Donauwörth, Germany 4Deutsches Museum 2, Munich, Germany 5TESTIA GmbH 2, Munich, Germany Computed tomography, testing of wood samples, Otto Lilienthal, glider
Close
In 1893 the maiden flight of the glider Normalsegelapparat of Otto Lilienthal took place. One year later the serial production started and at least eight gliders were sold for 500 Mark. Today four are remaining. One of them belongs to the Deutsches Museum and it was flown by Otto Lilienthal himself. The present original fragments from the glider are in a poor condition state. The aim of this study is to visualize by Computed Tomography voids and deterioration of the inner structure of wooden fragments. Based on this scientific investigation the stability of the glider’s structure will be estimated and a concept for conservation treatment and exhibition will be developed. This interdisciplinary project was a collaboration between Deutsches Museum, Technical University of Munich, Airbus Materials X, Airbus Helicopters, and TESTIA. This paper will present the results from two fragments.
| iCT 2018 Session: Short talks | 2018-02 |
|