In the afternoons, you will have the chance the attend a number of short educational sessions.
The objective of this course is to propose a first general introduction to fatigue design for mechanical engineers (supposed to be beginners in fatigue).
After a general introduction to fatigue questions, the presentation will focus on fatigue design against crack initiation and crack propagation in the High Cycle Fatigue regime.
A simplified case study is applied to a light aircraft component starting from real in service loading to end with the comparison with regulation needs for component replacement.
Yves NADOT gained his PhD in fatigue of metals in 1997 at The University of Poitiers, supervised by N. Ranganathan and J. Mendez. He started to work in the field of ‘Fatigue from Defect’ since the beginning in the laboratory of Prof. J. Petit and took a full Professor position at Institute P’ ISAE-ENSMA Poitiers, FRANCE in 2010. He is the author or co-author of more than 140 publications and conference papers and supervised 30 PhD students and ‘postdoc’, most of them in the field of fatigue of metals. He leads the research group “Damage and Physics and Mechanics of Materials” and is an active contributor to the research on the defect induced fatigue process. He worked also on industrial collaboration projects with several companies (SAFRAN, Zodiac Aerospace, Renault, Airbus, Knorr-Bremse, SNCF, RR, …).
In this short course participants will learn about the basics of Multiphysics simulations in the fields of Conjugate heat transfer simulations as well as Fluid Structure Interaction simulations. After the presentation of the basic ideas as well as the coupling methods participants will be shown several pitfalls they should avoid when setting up multiphysics simulations.
Dr. József Nagy graduated from the Vienna University of Technology in Physics and finished his PhD in Chemical Engineering. For six years he held the position of a post-doc at the Johannes Kepler University, where he worked on polymer materials. He is the Chair of the Technical Committee for Tutorials and Documentation in the OpenFOAM Governance System and is Chief-Editor at the OpenFOAM Journal. He has the biggest YouTube channel with specialized tutorials for learning Computational Fluid Dynamics (CFD) with OpenFOAM. He currently works as a CFD engineer at eulerian-solutions. His areas of interest are diverse: multiphase flows, complex materials, porous media, fire and species dispersion, Fluid-Solid Interaction (FSI) and model development and implementation as well as custom workflows for specific applications.
The short course will present an introduction to electromagnetic fields, an electrical engineering application area which integrates more and more with the mechanical engineering topics.
After a general presentation of the electromagnetics area, its basis equations and main numerical simulation methods, participants will be familiarized with electromagnetics applications through a range of technological and day-to-day life examples – from MRI diagnostic devices to 5G mobile phones.
Irina Munteanu has received the MSc and PhD in Electrical Engineering from the Technical University of Bucharest, the top technical university in Romania.
After an academic career in Romania, she joined the electromagnetics software company Computer Simulation Technology, now Dassault Systemes in Darmstadt, Germany, where she currently holds the position of Strategy Director in the SIMULIA brand, focusing on the HighTech industry. Since 2009 she also holds a professor's position at the Technical University of Darmstadt, Germany.
Her scientific interests include, among others, numerical methods for electromagnetic field computation, Model Order Reduction, optimization, lightning strikes simulation and bioelectromagnetics. She has published over 120 papers in scientific journals and conference proceedings and has authored / co-authored 6 books.
The objective of this workshop is to provide a practical introduction to the prediction of fatigue life in additively manufactured metals starting directly from manufacturing process parameters, using modern machine learning techniques.
Additive Manufacturing (AM) processes introduce specific defect populations, microstructural features, residual stresses, and anisotropy, all of which strongly influence fatigue performance. Understanding and modelling this complex process–structure–property relationship is essential for reliable industrial design.
After a general overview of how process parameters affect defect formation and microstructure — and consequently fatigue strength and scatter — the workshop will introduce a structured machine learning workflow tailored for engineering applications.
The course will begin with an overview of regression models commonly used in engineering practice before moving to Neural Networks and Physics-Informed Neural Networks (PINNs). A brief introduction to probabilistic neural networks with Gaussian layers will also be presented to address uncertainty quantification in fatigue predictions.
The session is based on real experimental fatigue data, and participants will be guided through the key steps required to build a predictive model that links manufacturing parameters to fatigue life.
Alberto is Assistant Professor at Politecnico di Torino (Italy) and member of the Engineering Data Science Working Group of NAFEMS. His research focuses on fatigue behaviour of advanced materials, additive manufacturing, and data-driven modelling for structural integrity. He is author or co-author of more than 20 scientific publications with over 350 citations.
He is involved in European research projects on the development of foundation models for accelerated materials discovery and on structural health monitoring systems based on smart materials. His work integrates experimental mechanics, computational modelling, and machine learning approaches to improve the reliability and predictability of engineering components.
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