9th World Congress on Industrial Process Tomography
2nd – 6th September 2018
Bath, UK
The 9th World Congress on Industrial Process Tomography (WCIPT-9) took place from 2nd to 6th September 2018 in Bath, UK hosting the world-wide experts in the field of process tomography. The participating ESRs benefited from exploring new themes in the science and technology of Industrial Process Tomography (IPT) and presented their research projects and results. The Coordinator, Prof. Dr. Uwe Hampel, gave an overview of the TOMOCON project and outlined its importance for research and the IPT community.
TOMOCON Highlights:
- Prof. Dr. Uwe Hampel, HZDR: Presentation “TOMOCON: A Marie Skłodowska-Curie European Training Network on Tomography-based Control in Industrial Processes”
- Benjamin Sahovic (ESR 1), HZDR: Presentation “Investigation of upstream and downstream flow conditions in a swirling inline fluid separator – experiments with a wire-mesh sensor and CFD studies”
- Dr. Martina Bieberle, HZDR: Presentation “Advanced correction algorithms for ultrafast X-ray computed tomography”
- Dr. Thomas Wondrak, HZDR: Presentation “Numerical Aspects of Contactless Inductive Flow Tomography for Crystal Growth”
- Matthias Ratajczak, HZDR: Presentation “Contactless Inductive Flow Tomography for Models of Continuous Casting and Crystal Growth”
- Imamul Muttakin (ESR 12), University of Bath: Presentation “Direct capacitance measurement for tomographic imaging of metallic objects”
- Panagiotis Koulountzios (ESR 13), University of Bath: Presentation “Ultrasonic Tomography for automated material inspection in liquid masses”
- Prof. Dr. Marko Vauhkonen, University of Eastern Finland: Presentation “Electromagnetic Flow Tomography for Imaging Asymmetric Single and Multiphase Flows”
- Dr. Timo Lähivaara, University of Eastern Finland: Presentation “Estimation of Porous Material Parameters Using Ultrasound Tomography and Deep Learning”
- Dr. Tomasz Rymarczyk, Netrix S.A.: Presentation “Application of Electrical Tomography for Spatial Analysis of Damp Walls Using Statistical Methods”