CIA-CT Conference

– on Applications of Computed Tomography in the Industry

25 April 2023
Technical University of Denmark
Bygning 101A, meeting room 1
Anker Engelundsvej 1
2800 Kgs. Lyngby

Following a successful line of conferences started in 2010, this 8th conference gives the latest update on the use of Computed Tomography (CT) in the industry. The conference program includes 10 invited presentations by international experts and industrial users of CT. Challenges and solutions will be illustrated relative to the use of CT for inspection and quality assurance in the manufacturing of industrial parts, the medical industry and in food production.

The presentations are brief and focused, and the conference provides an intensive course on the subject of applications of Computed Tomography in the industry.

Programme

09:30 - 10:00
Registration and light breakfast
10:00 - 10:20
Welcome and introduction by Guido Tosello, DTU Construct
Session on computer tomography for the industry
10:20 - 10:50
Keynote: Towards uncertainty evaluation for X-ray computed tomography measurement

Adam Thompson, Research Fellow, University of Nottingham, United Kingdom

Over the past decade, X-ray computed tomography (XCT) has been increasingly recognised as a means of performing co-ordinate and surface measurement. However, the physics that govern XCT systems are highly complex, and modelling these physics is no simple feat. Evaluation of measurement uncertainty, which requires a robust measurement model, is, therefore, equally complex and evaluation of uncertainty in a general measurement case has not yet been achieved.
In this talk, Adam Thompson will cover the state of the art in uncertainty evaluation for XCT measurement, discussing the efforts made towards the development of general methods for XCT uncertainty evaluation in co-ordinate and surface metrology, as well as covering the future steps required to achieve this goal.

Dr Adam Thompson is a research fellow in the University of Nottingham (UoN) Manufacturing Metrology Team (MMT), where his research focusses on surface texture measurement by X-ray computed tomography and metrology more widely.
10:50 - 11:20
XCT for additively manufactured parts: image quality metrics and dimensional measurements

Anne-Françoise Obaton, Dr. habil, Laboratoire National de Métrologie et d’Essais, France

XCT is the most powerful and already accepted volumetric non-destructive method in terms of inspection capability in additive manufacturing. Indeed, XCT is suitable for complex shapes and rough surface finish parts. Thus new needs emerge. The XCT image quality needs to be defined by appropriate metrics and the performances of XCT systems for dimensional measurements, in terms of precision and trueness, need to be evaluated. This talk will be related to these two topics.

Dr. habil. Anne-Françoise Obaton is involved in research in metrology for additive manufacturing (AM) at Laboratoire National de Métrologie et d’Essais (LNE, French National Metrology Institute) in Paris since 2014. She is conducting research, among other topics, on the investigation and qualification of volumetric non-destructive testing (NDT) methods for quality insurance of AM parts, and more specifically on X-ray computed tomography (XCT) and resonant ultrasound spectroscopy (RUS) methods. Related to this topic, she was a guest researcher at DTU, in Prof. Leonardo De Chiffre's team, for three months, in 2020, to work on the design and fabrication of machined standards to characterize XCT systems.
11:20 - 11:40
Networking break
11:40 - 12:00
A new approach for full-scale fiber-reinforced composite investigations

Erik M. Lauridsen, CEO, Xnovo Technology ApS, Denmark

Reinforcement of the polymer matrix in injection-molded plastics with fibers of various kinds can improve their mechanical properties. The resulting polymer composite material provides exceptional load-bearing capabilities with flexibility in the molding of complex-shaped components. Mechanical properties of short-fiber-reinforced polymers are highly dependent on the fiberorientation in the matrix. Lack of maturity of injection molding simulation frameworks limits prediction of the complex flow-patterns during injection molding, while the requirement for resolving individual fibers in conventional imaging methods significantly restricts the imaged field-of-view.

Here we demonstrate a new approach for full-scale fiber-reinforced composite investigations providing direct insight into the fiber orientations of full-scale injection molded parts.

Erik Lauridsen is co-founder and CEO of Xnovo Technology located in Køge, Denmark. Xnovo Technology specializes in the development of innovative 3D X-ray imaging solutions for engineers and scientists with emphasis on applications within engineering, materials science & geo-science.
12:00 - 12:20
Metrology of multiview energy dispersive X-ray CT instruments

Steffen Sloth, Ph.D. Student, DTU Physics and Exruptive A/S, Denmark

Recent innovations in x-ray instruments for aviation security have led to the development of in-line fixed-gantry x-ray CT scanners. Over the last decade, new high-flux intake photon counting detectors have been developed. Implementing photon counting detectors in these fixed-gantry designs open the possibility of a new generation of aviation security scanners with improved passenger throughput and enhanced threat identification. However, this new design significantly increases the number of x-ray hardware components, such as detector modules, and the computation requirements needed to handle the energy dispersive CT data. This increase in scanner complexity poses a series of challenges from a metrological perspective. This talk will discuss the complexity of the fixed-gantry XCT design and how to handle and calibrate the scanner geometry.

Steffen is an Industrial Ph.D. student at DTU Physics and Exruptive A/S. Background in x-ray physics with a Master of Science from DTU (2020).
12:20 - 13:20
Lunch and networking
13:20 - 13:40
CT assisted meat production

Lars Bager Christensen, Senior Specialist, Danish Technological Institute, Denmark

CT has been a preferred reference method for determination of food quality for many years. DMRI (Danish Meat Research Institute) has been exploring the technology and applicability of the X-ray modality in the transition of meat production from manual to cobot assisted procedures. The RoBUTCHER project is exploring this transition.

Effective design procedures are available from using a CT based library of pig carcasses. We optimize the cutting trajectory of the carcass into primals by planning from CT and adaptation based on 3D vision. We also explore our CT library to synthesize image data to train AI networks for prediction of important quality features.

Lars Bager Christensen has been with the Danish Meat Research Institute as a senior specialist in X-ray and CT for several years. Recently expanding the field to include interface of data to manual and automated procedures.
13:40 - 14:00
Augmented Cellular Meat Production; a collaborative robot cell concept as an alternative to the serial production line in major slaughterhouses

Shahrokh Rahmani, Research Fellow, University College London, United Kingdom

Major slaughterhouses, which as of today represent a very labour-intensive industry, stand on the edge of industry 4.0 and will in the future be transformed with much further automated processes by the help from advanced sensor technology and computational algorithms. In this respect, collaborative cell concepts where augmented reality tools support the operator in his/her tasks are already being developed as an alternative to the standard serial production line. The aim is to develop a new adaptive production concept where robot and operator collaborate in a cellular layout. This is a collaboration between Danish research institutions and industry with the aim of improving meat production from being conveyor belt based to cell based. Part of this effort is to use on-line computer prediction of 3D configurations of carcasses based on 2D CT scans and deformation calculations with finite element models.

Dr. Shahrokh Rahmani is a Research Fellow in the department of mechanical engineering, University College London. Shahrokh's main research theme is image-based numerical modelling and developing imaging techniques to validate and develop computational models of biological systems. Shahrokh has worked for the past five years in the field of cardiovascular biomechanics, biological soft tissue, numerical modelling, experimental protocols and image analysis pipelines to image large tissue volumes at high resolution. Currently, Shahrokh is doing image-based dynamic whole organ modelling utilizing hierarchical Phase Contrast Tomography (HiP-CT) technique and developing imaging processing pipelines to deal with the huge datasets produced by this technique.
14:00 - 14:10
Networking break
Session on "Automatic digital techniques"
14:10 - 14:30
State of the art on CT data processing

Sven Gondrom-Linke, Head of Technical Consulting , Volume Graphics GmbH, Germany

In the course of the increasing use of renewable energies and the conversion of the automotive industry to e-mobility, large investments are being made in the production of energy storage systems and batteries for e-cars.

For safety aspects, as well as for reasons of sustainability in production, the inline inspection of modern Li-based batteries and storage systems in production is gaining immense importance. Naturally, a large part of the inspection takes place by means of 3D CT in order to check the interior of the battery cells for defects as early as possible in production. The high requirements, such as short cycle times, multi-material inspection, as well as small defect sizes, pose great challenges for an inspection by CT and require state-of-the-art analysis methods.

In this presentation, the state of the art and the latest developments in the field of CT inspection and analysis will be presented based on this use case.

Sven Gondrom-Linke studied physics at the University of the Saarland. Subsequently he did his PhD in material science as member of a DFG research-training group at the Fraunhofer Development Center X-Ray Technology. At Fraunhofer, he was member of research staff and Deputy Group Leader before he changed to industry in 2004. Sven Gondrom-Linke developed 3D-CT systems and methods as Manager R&D and as General Manager Technology. Since 2013 he is working as Head of Technical Consulting at Volume Graphics, a Hexagon company.
14:30 - 14:50
Modelling and software for uncertainty quantification of X-ray CT with application to defect detection in subsea pipe inspection

Silja Lønborg Christensen, PhD Student, DTU Compute, Denmark

In X-ray computed tomography (CT) we reconstruct the interior structure of an object of interest based on X-ray projections. But can we be sure the reconstruction is reliable? The reconstruction is heavily dependent on the data quality and the mathematical model that represents the physics of the measurements. Uncertainty in either will propagate into the reconstruction and could cause artifacts and negatively affect decisions to be made from the image.

In Bayesian X-ray CT we produce reconstructions with associated uncertainty quantification (UQ), which helps us understand the reliability.

We present the general framework of Bayesian X-ray CT and give UQ results for an application of defect detection in subsea pipe inspection. We further introduce two open-source software tools: CUQIpy for UQ of a broad class of inverse problems, including CT (https://sites.dtu.dk/cuqi#Software), and the Core Imaging Library (CIL) – for processing and reconstruction of many types of CT data (https://ccpi.ac.uk/cil/).

Silja Lønborg Christensen is a PhD student at DTU Compute and associated with the Computational Uncertainty Quantification for Inverse Problems (CUQI) project. Her research concerns uncertainty quantification for CT reconstruction.
14:50 - 15:10
Coffee and networking break
15:10 - 15:30
Automated image processing and measurement using AI

Dennis B. Nielsen, Danish Technological Institute, Denmark

Using computed tomography (CT) from a medical CT scanner to produce detailed images of the inside of food items (pigs, fish, chicken). AI can be used to optimize the analysis of CT images of food material in a number of ways.

One way that AI can be used to optimize the use of the raw material by automating the process of image interpretation. This can involve using machine learning algorithms to analyze large amounts of CT images and identify common features that are indicative of specific processes or quality traits.

Overall, AI has the potential to greatly improve the efficiency and accuracy of digitizing the material, which can ultimately lead to a better understanding and improved the food production.

Dennis Brandborg Nielsen is the Head of Section for Data Analysis in the Centre for Sustainability and Digitization at the Danish Technological Institute. The Danish Technological Institute develops digitization solutions for sustainable food production.
15:30 - 15:50
Topography characterisation of additively manufactured surfaces using CT

Filippo Zanini, Assistant Professor, Padova University, Italy

X‐ray computed tomography (CT) is increasingly used for evaluating parts produced by additive manufacturing (AM) in terms of geometrical and dimensional characteristics, internal defects, and surface topography. In particular, CT enables non‐destructive measurements of both internal and difficult‐to‐access geometries, features and surfaces (including micro-scale re-entrant surface features typical in metal AM parts), overcoming the main limitations of contact and optical measuring techniques.
This presentation deals with the ongoing research at the University of Padova (Italy) aimed at developing advanced CT-based surface topography measurement procedures to improve the understanding and precision of AM processes.

Filippo Zanini is Assistant Professor and member of the Precision Manufacturing Group at the University of Padova, Italy. He is Research Affiliate of CIRP (International Academy for Production Engineering) and member of euspen (European Society for Precision Engineering and Nanotechnology). The main research activities are in the area of manufacturing metrology, with focus on advanced coordinate metrology and industrial X-ray computed tomography. Moreover, he is currently working on the development of innovative metrological solutions for the quality improvement of metal additive manufacturing.
15:50 - 16:10
Closing remarks

CIA - CT Conference on "Applications of Computed Tomography in the Industry"

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Registration fee

 DKK 2,525  Members of ATV-SEMAPP and promoting partners listed in the registration form
 DKK 3,125  Non-members
 DKK 325  BSc and MSc students (Membership is free of charge – register here. Early bird discount does not apply)
 DKK 1,025  Ph.D. students at ATV-SEMAPP member institutions

All prices are exclusive of 25 % VAT.

Early bird discount of DKK 300 when registering before 28 February 2023.

The fee includes talks, breakfast, lunch, coffee breaks and conference materials.

Binding registration
Registration is binding, however substitutions are accepted at any time. Just remember to send us an e-mail so we know who to expect.

Covid
There are no Covid restrictions in Denmark as of now (December 2022) except use your common sense (wash or sanitize your hands regularly, keep distance and stay home if you feel sick). Should restrictions be reintroduced up to the conference we will let you know. If the conference is cancelled due to Covid the fee paid will be refunded.

Questions
If you have any questions regarding the seminar, you can write to us here. We will get back to you quickly.