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