INDUSTRIAL X-RAY COMPUTED TOMOGRAPHY D TECHNOLOGY, APPLICATIONS AND DATA-DRIVEN BUSINESS MODELS IN A DIGITAL AGE
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- Mabel Rich
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1 INDUSTRIAL X-RAY COMPUTED TOMOGRAPHY D TECHNOLOGY, APPLICATIONS AND DATA-DRIVEN BUSINESS MODELS IN A DIGITAL AGE Prof. Dr.-Ing. Jochen Hiller Fraunhofer Application Center CTMT, Deggendorf Institute of Technology 1
2 CONTENT 1. Typical applications of X-ray CT in the Product Lifecyle 2. The CT imaging process and classification of CT systems 3. Current developments and future trends 4. The Fraunhofer Application Center CTMT within the Fraunhofer Network 2
3 From raw material to recycling Typical CT applications within the procuct life cycle Monitoring 3
4 From raw material to recycling Why CT? 4
5 From raw material to recycling Typical CT applications Glass-fiber reinforced plastic Quelle: Zeiss Monitoring Carbon Material characterisation 5
6 From raw material to recycling Typical CT applications Monitoring CT measurements on stressed components using Insitu-CT 6
7 From raw material to recycling Typical CT applications Final geometry Mould Mould correction Quelle: Zeiss Component CT Correction data Monitoring Mould correction using CT measurements 7
8 From raw material to recycling Typical CT applications Monitoring Defect detection using Inline-CT 8
9 From raw material to recycling Typical CT applications [mm³] Monitoring Material testing & geometrical metrology Quality control of industrial components using laboratory CT scanners 9
10 CONTENT 1. Typical applications of X-ray CT in the Product Lifecyle 2. The CT imaging process and classification of CT systems 3. Current developments and future trends 4. The Fraunhofer Application Center CTMT within the Fraunhofer Network 10
11 The CT imaging process and classification of CT systems Cone-beam CT Rotation table Cone-beam X-ray detector Component X-ray tube Quelle: Zeiss Traveling axes Additional axes for component positioning 11
12 The CT imaging process and classification of CT systems The physical basis wanted I I e 0 - L ds x, y Lambert-Beer s law given with: I Attenuated intensity after object I 0 L Unattenuated intensity Attenuation coefficient (energy- and materialdepened) Path length of ray 12
13 The CT imaging process and classification of CT systems From voxel dataset to dimensional metrology Threshold 13
14 The CT imaging process and classification of CT systems From tabletop to high energy XXL CT scanners XXL-CT 14
15 The CT imaging process and classification of CT systems CT scan of a car 15
16 The CT imaging process and classification of CT systems Commercial laboratory X-ray CT scanners Wenzel Zeiss GE Werth Skyscan 16
17 The CT imaging process and classification of CT systems Commercial Inline-CT scanners GE Heitec Zeiss 17
18 CONTENT 1. Typical applications of X-ray CT in the Product Lifecyle 2. The CT imaging process and classification of CT systems 3. Current dev elopm ents and future trends 4. The Fraunhofer Application Center CTMT within the Fraunhofer Network 18
19 Current developments and future trends Virtual testing with CT data Determination of internal quality characteris tics and specifications with the help of CT data and realistic FE s im ulations Estimation of local failure probabilities Development of v irtual prototypes including internal material specifications Results can be used for machine learning applications in terms of self-optimizing manufacturing systems 19 Prof. Dr.-Ing. Jochen Hiller
20 Current developments and future trends Process-integrated CT for process control Inline-CT Industry 4.0 laboratory of THD with Inline-CT 20
21 Current developments and future trends CT and Cloud-Computing Edge-Cloud for CT data 21
22 Current developments and future trends CT within the Smart Factory SAP, MindSphere, ProLeis, SensorCloud, etc. 22
23 Current developments and future trends New CT applications within the procuct life cycle Monitoring 23
24 Current developments and future trends Digitisation and evaluation of returned goods E-Commerce revenue in Germany 24
25 Current developments and future trends Digitisation and evaluation of returned goods Identification and evaluation of textile products without opening the packet Development of fully automated systems for the processing and evaluation of returned goods 25
26 Current developments and future trends Virtual shopping Generation of 3D models for virtual shopping Fusion of CT and photogrammetry data Development of smart and data-driven business models as well as S m art S erv ices using digital representions of products 26
27 Current developments and future trends Tracking of goods and security Self with boxes and goods CT scan of a ship container Hidden AK47 27
28 Current developments and future trends CT for process control in additive manufacturing Material testing and geometrical metrology 28
29 Current developments and future trends CT for process control in additive manufacturing Quality control of building materials 29
30 Current developments and future trends Maintenance, reprocessing of products, recycling Waste paper CT scan Classification 30
31 CONTENT 1. Typical applications of X-ray CT in the Product Lifecyle 2. The CT imaging process and classification of CT systems 3. Current developments and future trends 4. The Fraunhofer Application Center CTMT w ithin the Fraunhofer Netw ork 31
32 Locations of Fraunhofer Itzehoe Bremerhaven Hamburg Oldenburg Bremen Lübeck Rostock Hannover Potsdam Berlin Teltow Braunschweig Magdeburg Cottbus Oberhausen Paderborn Halle Dortmund Schkopau Leipzig Duisburg Kassel Leuna Schmallenberg Dresden St. Augustin Erfurt Jena Aachen Freiberg Euskirchen Gießen Chemnitz Wachtberg Ilmenau Darmstadt Würzburg Bayreuth Erlangen Bronnbach St. Ingbert Kaiserslautern Fürth Nürnberg Saarbrücken Karlsruhe Pfinztal Deggendorf Ettlingen Passau Stuttgart Straubing Freising Freiburg Augsburg Garching München Oberpfaffenhofen Kandern Prien Efringen- Holzkirchen Kirchen 32
33 The Fraunhofer Network of Technical Digitisation Application Center CTMT 33
34 The Fraunhofer Application Center CTMT Key activities CT Applications & System design Automation & Robotics Cloud Computing Image Processing 34
35 The Fraunhofer Application Center CTMT CT systems at place 35
36 The Future of CT Self-learning, robot-based, multi-positional, multi-energy, multi-modal digitalization cell Research grant from BMBF: 2,6 Mio., Installation
37 The End Thank you for your attention! 37