Programme Overview

Day 1, November 9th

09:00-10:00

Registration

10:00-10:20

Welcome and opening
Robert Mark Taylor, TEMA AG

10:20-10:50

KEYNOTE: Thinking about the big picture: A human-centered approach to using AI in surface inspection
Niklas Obermann, Ruhr-University Bochum (RUB)

10:50-11:20

Coffee/Tea-Break

Room1: From inspection data to quality information

Room 2: ASIS on long products, as tubes and pipes

11:20-11:50

Steering of CGL process parameter by SIS detected defect
Jürgen Habrock; QA/QC Galvanizing expert (Freelancer)

Optical surface inspection: Fields of application and process optimization for long round or profiled metals
Jürgen Philipps; PIXARGUS GmbH

11:50-12:20

Establishment and utilization of SIS computerized infrastructure
Taesoo Moon + Co-Authors; Hyundai Steel R&D Center

3D Surface inspection in production of seamless tube
Thomas Köpsel, Burkhard Schöttler; IMS Messsysteme GmbH

12:20-12:50

Exploitation of surface inspection data for comprehensive quality and process improvements
Michael Raus + Co-Authors; QuinLogic GmbH

Surface Fault Detection (SFD) for hot steel products
Silvano Balemi; Zumbach Electronic AG

12:50-13:50

Lunch Break

Room 1: ASIS and Industry 4.0

13:50-14:20

AI-based quality assessment of steel coils considering surface defect distributions and their severity levels
Ahmad Rajabi, Jens Brandenburger; VDEh Betriebsforschungsinstitut GmbH

14:20-14:50

Integration of surface inspection data into a multi-level production planning approach in the flat steel industry
Erwin Sirovnik, Jens Brandenburger; thyssenkrupp Rasselstein GmbH, VDEh-Betriebsforschungsinstitut GmbH

Panel Discussion I

14:50-15:30

Do we need a solution to eliminate the negative effects of fluids like water, emulsion, oil in the SIS to distinguish them correctly from the critical defects?
Performance: Michael Krätzner, Salzgitter Flachstahl GmbH
Discussion with system providers and the audience

15:30 -16:00

First Combined 2D and 3D Surface Inspection in a Pickling Line Starts Work
Yves Unnützer; Thyssenkrupp Rasselstein GmbH

16:00-16:20

Coffee/Tea-Break

Vendor Sessions

16:20-16:50

Latest developments in automatic surface inspection by 2D & 3D inspection and waviness recognition
Michael Hoenen; ISRA Parsytec GmbH

16:50-17:20

Tailored Inspection and Measuring Systems for your Application
IMS Messysteme GmbH

Vendor Workshops

17:20-18:20

Organized by
IMS Messsysteme GmbH

Organized by
AMETEK Surface Vision

Organized by
ISRA Parsytec GmbH

19:00

Evening Event

Day 2, November 10th

09:00-09:30

KEYNOTE: Machine learning in idustrial applications: Opportunities and challenges
Michael Heizmann; KIT Institute for Industrial Information Technology (IIIT)

09:30-10:00

KEYNOTE: How to evaluate ASIS classification performance according to the new standard VDI/VDE/VDMA 2632 part 4.2
Jens Brandenburger; VDEh-Betriebsforschungsinstitut GmbH

10:00-10:30

Quantification of the classification performance of surface inspection systems in flat steel production
Fabian Krippendorff + Co-Authors; Salzgitter Flachstahl GmbH

10:30-11:00

Coffee/Tea-Break

Room 1: Production Quality Control

Room 2: Application of 3D imaging

11:00-11:30

Automated Optical Inspection: How Reliable Coil Grading Can Be Achieved
Christian Reidler, Stephan Müller; Dr. Schenk GmbH, C.D. Wälzholz KG

Widely Advanced Rapid Profiling (WARP): A breakthrough sensor technology for high-speed and high-resolution 3D inspection of long and flat steel products
Athinodoros Klipfel; Automation Technology GmbH

11:30-12:00

Optical Inline-Inspection systems realize full quality control of production
Andreas Hofmann, Tobias Schmid-Schirling; Fraunhofer-Institute for Physical Measurement Techniques IPM

How to get out of the contrast paradigm in defect recognition?
Laurent Dorel, Clecim SAS

12:00-12:30

Edge Inspection on side-trimmed coils
Volker Schlevoigt; Unilux Europe GmbH

12:30-13:20

Lunch Break

13:20-13:50

Latest developments in automatic surface inspection
AMETEK Surface Vision

Panel Discussion II

13:50-14:30

Revamp strategies and capabilities of SIS

Performance: Kees Jonker, Tata Steel Europe
Discussion with system providers and the audience

Panel discussion III

14:30-15:10

Whilst steel producers rely on SIS for surface qualification (increased percentage of auto surface qualification), what will you be able to provide for ensuring the SIS in good performance and how to auto measure the performance?
Performance: Julien Langlois, ArcelorMittal
Discussion with system providers and the audience

15:10-15:30

Final remarks and outlook
incl. the question: "What must be developed to make the SIS a more plug and play instrument?"

15:30

End of Conference