International Conference on NDE 4.0
24 – 27 October 2022 in Berlin, Germany

NDE 4.0: Enabling your journey!

Industry 4.0 is the ongoing fourth industrial revolution, based on digitisation, crosslinking and networks and lives on data for its feedback loops and one of its biggest and most valuable data sources is NDE. Industry 4.0 leads to an improved production and design by analysing the data stored in digital twins and provided by the industrial internet of things. Measures like artificial intelligence, big data processing, or augmented reality allow to evaluate and visualise the data. Blockchains allow ensuring modification-proof storage and traceability and 5G the wireless connections needed by Industry 4.0.

This will lead to big changes in NDE. First, the Industry 4.0 emerging technologies can be used to enhance NDE technologies and NDE data processing. Second, a statistical analysis of NDE data provides insight into reliability, inspection performance, training status, consistency, and value of the inspections. Finally, NDE is the ideal data source for Industry 4.0.

This first conference on NDE 4.0 is devoted promoting a broad exchange on all subjects regarding NDE 4.0. The conference provides a unique opportunity for users, scientists, equipment suppliers and all who are interested to discuss the following topics to seek their way into the world of NDE 4.0:

The virtual part of the conference was succesfully held in April 2021.

For the face-to-face conference opportunities for technical visits to relevant IIoT companies are planned.

We are looking forward to meeting you first visually and second in Berlin.

Dr. Johannes Vrana
Conference Chair
Dr. Thomas Wenzel
DGZfP, Germany

NDE 4.0 Short Courses
In addition to the main technical programme, on Monday, 24 October from 09:00 h

Short Course: The World of NDE 4.0: Let the Journey Begin

Monday, 24 October 2022, 09:00 – 12:00 h, Registration fee: 290 Euro


Course Objectives (Learning Outcomes)

  • Understand what it takes to begin the transformation journey into NDE 4.0
  • Engage with leaders in NDE 4.0 to influence the direction of the subject 
  • Peer networking with others in the same boat, because “Together is the only way”


Course Outline

  • Introduction – Purpose and Ecosystem perspective
  • Technology – Informatization, IIoT & Digital Twins, …
  • Value Creation – Cyber-Physical Value Streams
  • Transformation – Roadmap, Organization considerations


Course Material

The book: “The World of NDE 4.0: Let the Journey begin” ISBN 979-8-4625-1421-0


Intended Audience 

Anyone and everyone interested in creating a better future for NDE systems and the NDE profession in general. 

Leaders: All those who must make difficult decision around WHY we need NDE 4.0 now.  Such as CEO, CTO, VP R&D / Engineering, Chief Engineers, Small business owners
Managers: All those who need to address HOW to manage NDE 4.0 journey. Such as Technology managers, Business development managers.
Researchers: Those who are involved in generating ideas and influencing WHAT to develop


Instructors

Dr. Ripi Singh and Dr. Johannes Vrana, authors of the book

 

Short Course: NDE for Additive Manufacturing

Monday, 24 October 2022, 09:00 – 10:30 h, Registration fee: 150 Euro
parallel to Short Course: The World of NDE 4.0: Let the Journey Begin

 

Additive Manufacturing is a key manufacturing technology in Industry 4.0, with its unique digital manufacturing capabilities for near-net shape manufacturing of parts on demand, in short lead times and in distributed manufacturing facilities reducing costs. This enhances not only supply chains but also allows unique geometries to be manufactured for enhanced performance providing benefits in low mass, enhanced mechanical properties tuned specifically to a particular application, enhanced thermal properties with unique cooling channels and lattice structures, amongst others.  

In this workshop, the current growth and application areas of metal additive manufacturing (AM) technologies are discussed in the context of NDE. As the most widely used AM process in industry, laser powder bed fusion, is discussed in depth in order to better understand the unique material conditions leading to unique NDE needs and requirements. The workshop follows the book Fundamentals of Laser Powder Bed Fusion of Metals [1] and spends particular attention to AM-specific defects, porosity, residual stresses, surface conditions and other unique characteristics, the causes and mechanisms behind these and how these can be detected. NDE is discussed in relation to the challenges including latest trends and industry adoption of NDE for this area with its challenges that remain to be solved in near future.

[1] Yadroitsev, I., Yadroitsava, I., Du Plessis, A. and MacDonald, E. eds., 2021. Fundamentals of laser powder bed fusion of metals. Elsevier. https://www.elsevier.com/books/fundamentals-of-laser-powder-bed-fusion-of-metals/yadroitsev/978-0-12-824090-8 

About the presenter: 

Prof Anton du Plessis is applications scientist at Object Research Systems, part of the Comet group. He is also associate professor at Stellenbosch University and academically involved in additive manufacturing research for over a decade. He is deputy editor of the journal Additive Manufacturing Letters, and on the editorial boards of Additive Manufacturing (Elsevier) & 3D Printing and Additive Manufacturing (Mary Anne Liebert).

Target Audience:

Engineers and professionals interested to learn more about additive manufacturing of metals, to better understand the types and extend of defects and how these can be inspected using NDE methods 

Take away: 

An understanding of the metal additive manufacturing process of laser powder bed fusion.
Understanding of defect types and mechanisms for their formation NDE methods applicable and how to detect these flaws

Short Course: AI for Computed Tomography NDE

Monday, 24 October 2022, 10:30 – 12:00 h, Registration fee: 150 Euro
parallel to Short Course: The World of NDE 4.0: Let the Journey Begin

Computed tomography is widely accepted as an excellent NDE tool for identification and quantification of critical flaws, relevant to industrial applications. Despite its relatively high cost and challenges involving image analysis in the presence of image artifacts, it remains the best and most holistic inspection method providing critical flaw information. This is evidenced by its increasingly wider adoption and use especially for critical applications such as for aerospace components. One aspect that is receiving a lot of attention is the use of AI to enhance image quality, overcome image artifact problems, enhance flaw detection capabilities, or remove human bias in image analysis steps. Overall there is the opportunity to reduce costs and improve inspection performance using AI-based tools. This workshop makes use of a number of case studies demonstrating the use of deep learning applied to different industrial NDE applications, showcasing the power of this emerging combination of technologies.

About the presenter: 

Dr Nicolas Piché is Vice President R&D at Object Research Systems. Dr Piché brings more than 25 years of industry and academic leadership experience to this role. He was instrumental in the development of the company's core imaging platforms and currently leads the research team that is translating the promise of deep learning into transformative solutions for imaging applications. Prior to co-founding ORS, he held senior positions in prominent North American and European technology companies and has authored papers within the field of image processing, microanalysis, deep learning, and medical imaging. Dr Piché earned his PhD at École Polytechnique de Montréal.

Target Audience:

Engineers, NDE professionals and anyone interested in the latest AI based image analysis methods

Take away: 

  • How AI image analysis works
  • The unique benefits of AI for computed tomography NDE applications
  • The ease of use and practical application of deep learning for NDE

Excursion to the Berlin Center for Digital Transformation
on Thursday, 27 October 2022, 1/2 day

The four Fraunhofer Institutes FOKUS, HHI, IPK and IZM bundle their expertise in the fields of information and communication technologies (ICT), data processing, production and microelectronics in the Berlin Centre for Digital Transformation. In this Centre engineers and research fellows develop technologies and solutions that take into account the increasing digitization and networking of all areas of life. It conducts research on basic and cross-sectional technologies. 

During our excursion to the Berlin Centre for Digital Transformation, you will be able to get a hands-on experience of the current research results from the fields of

  • Sensors & Cyberphysical Systems
  • Internet of Things & Blockchain
  • 5G Infrastructure & Communication
  • Industry 4.0 with collaborative robots
  • Digital twins for processes, factories, and products

The excursion is scheduled for 27 October 2022, from morning until early afternoon. The detailed planning depends on the number of interested participants.
If you are interested in the excursion to the Berlin Center for Digital Transformation please submit your contact data here.

Sponsorship

Become a sponsor!

Without the assistance of sponsors from commerce and industry conferences of this scale would not be thinkable today. 

Different types of sponsorship packages are available:

  • Gold sponsor (5,000 €)
  • Silver sponsor (3,500 €)
  • Bronze sponsor (1,500 €)

Pease find the details below and contact us by e-mail.

Support the conference

 

Exhibition

Our Sponsors

Topics

Industry 4.0 for NDE

  • Artificial Intelligence / Machine Learning / Deep Learning
  • Big / Smart Data Processing and Visualisation
  • Cloud Computing
  • Augmented / Virtual / Mixed Reality
  • Blockchain
  • 5G
  • Quantum Computers
  • Enhanced Robotics/Drones
  • Revision-Safe Data Formats and Storage    

NDE for Industry 4.0

  • Digital Twin
  • Industrial Internet of Things 
  • Data Security/Sovereignty  
  • Semantic Interoperability  
  • Additive Manufacturing
  • Reliability
  • Predictive and Prescriptive Maintenance
  • Lifing / Probabilistic Analysis
  • Trending / Feedback Loops

Human Considerations & Path Finding

  • Purpose and Value Proposition of NDE 4.0
  • NDE 4.0 Business Models
  • Management and Leadership 4.0
  • Digital Transformation and Organisation Behaviour  
  • Training and Certification
  • Standards and Best Practices
  • Human Factors
  • Human-Computer Interaction
  • Technology Development and Validation

Committees

Scientific Committee

  • Don Andrews, CINDE, Canada
  • Prof. Dr. Krishnan Balasubramanian, IIT Madras, India
  • Prof. Dr. Younho Cho, Pusan National University, Korea
  • Ramon Salvador Fernandez Orozco, Fercon Group, Mexico
  • Alejandro Garcia, CNEA, Argentina  
  • Prof. Dr. Christian Große, TU Munich, Germany
  • Dr. Daniel Kanzler, Applied Validation of NDT, Germany
  • Prof. Dr. Roman Maev, University of Windsor, Canada
  • Rafael Martínez-Oña, AEND, Spain  
  • Prof. Dr. Norbert Meyendorf, University of Dayton, USA
  • Dr. Makoto Ochiai, Toshiba & JSNDI, Japan
  • Prof. Dr. Serge Dos Santos, INSA Centre Val de Loire, France
  • Prof. Dr. Ripi Singh, Inspiring Next, USA & India
  • Prof. Dr. Robert A. Smith, University of Bristol, UK
  • Prof. Dr. Vladimir Syasko, RSNTTD, Russia
  • Prof. Dr. Bernd Valeske, Fraunhofer IZFP, Germany
  • Dr. Johannes Vrana, Vrana GmbH, Germany
  • Pranay Wadyalkar, LMATS, Australia
  • Dr. Casper Wassink, Eddyfi, Netherlands
  • Prof. Dr. Gao Xiaorong, Southwest Jiaotong University, China

Organising Committee

  • Steffi Dehlau, DGZfP, Germany
  • Dr. Anton Erhard, DGZfP, Germany
  • David Gilbert, BINDT, UK
  • Prof. Dr. Christian Große, TU Munich, Germany
  • Prof. Dr. Ripi Singh, Inspiring Next, USA & India
  • Prof. Dr. Bernd Valeske, Fraunhofer IZFP, Germany
  • Dr. Johannes Vrana, Vrana GmbH, Germany
  • Dr. Thomas Wenzel, DGZfP, Germany

Key Dates

  • Deadline for Abstract Submission: 31 March 2022
  • Notification of acceptance: May 2022
  • Registration/Payment for presenting authors: 30 June 2022
  • Final programme: July 2022
  • Full paper submission: 31 August 2022

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