Conference Proceedings from the NAFEMS Nordic Conference 2026
ISBN 978-1-910643-75-4
| Session | Title | Authors / Organisation | Page |
|---|---|---|---|
| 1-A/B Keynote Presentations | FEM and the Airframe: Making Aircraft in 2026 | Sjoerd Van Der Veen (Airbus Operations) | 14 |
| 1-A/B Keynote Presentations | CFD in the Automotive Industry 2026 and Onwards - Present Status and Future Needs | Torbjörn Virdung (Volvo Car Corporation) | 15 |
| 1-A/B Keynote Presentations | Structural Composite Modelling at GKN Aerospace: From Accuracy to Industrial Reliability | Sérgio Costa (GKN Aerospace Sweden) | 16 |
| 2 A – Crash / Drop Test / Casting | Zero Plastic for Packaging – A FEM Case Study for Drop Tests | Utku Özden (Velux) | 17 |
| 2 A – Crash / Drop Test / Casting | Giga-Casting – Posing New Challenges for Crash & Safety Simulations | Inhyeok Lee, Jangho Ahn, Junhyung Kim, Mathieu Moerckel (Keysight Technologies); Yong-ha Han, Young-tae Kim (Hyundai) | 23 |
| 2 A – Crash / Drop Test / Casting | Modelling of Biocomposites in Crash Applications | Konstantinos Rachoutis (BETA CAE / Cadence); Johann Körbelin (Volvo Car Corporation) | 29 |
| 2 A – Crash / Drop Test / Casting | Using Model Validation Approaches to Understand Predictive Capability of Structural Castings | Erik Dartfeldt, Torsten Sjögren (RISE Research Institutes of Sweden); Jakob Olofsson, Toni Bogdanoff (Jönköping University) | 35 |
| 2 B - Fatigue / Optimization | Efficient Approach to Fatigue Analysis for Nonlinear Loads in Combination with Long Time Histories for a Hook Coupling | Dominik Hofmann, Mehdi Moradi (Magna Engineering Center Steyr) | 39 |
| 2 B - Fatigue / Optimization | Robust and Reliability Based Optimization of Multi-Step Forming Processes with a Focus on the Effects of Stresses | Maysam Naghinejad, Gerrit Klaseboer, Redmer van Tijum, Jan Post, Yutao Pei (University of Groningen) | 44 |
| 2 B - Fatigue / Optimization | Enhanced Non-Parametric Topology-, Shape- and Sizing-Optimization using Non-linear Structural Modelling | Anton Jurinic, Claus B. W. Pedersen (Dassault Systemes); Jason Action, Clay T. McElwain (Lockheed Martin Aeronautics) | 50 |
| 2 B - Fatigue / Optimization | Integrated Optimization of Fatigue Damage in FEA | Niels Wagner, Reinhard Helfrich (Intes) | 51 |
| 3 A - Materials / Crack / Deformation | Modeling Handball-Induced Head Injuries | Cyrus Nilsson, Arvid Johansson (FS Dynamics) | 52 |
| 3 A - Materials / Crack / Deformation | From Statistical Crack Initiation to Physics-Based Propagation: A GSPM–Phase-Field Approach for Glass Fracture | Sebastian Müller, Morgane Blondel (Keysight Technologies); Jean-Daniel Martinez, Daniel Lopez Amenedo (Audi); Jonas Rudshaug (NTNU) | 54 |
| 3 A - Materials / Crack / Deformation | High-Fidelity Finite Element Model Development for Damage Detection of Wind Turbine Composite Blades | Sungmok Hwang, Seungjin Kang, Cheol Yoo (Korea Institute of Energy Research); Hyunmok Kim (RaonX Solutions/Pusan National University); Nina Moëllo (pSeven) | 58 |
| 3 A - Materials / Crack / Deformation | Considering the Local Anisotropy in the Simulation Process Chain for Short and Long Fiber Reinforced Thermoplastics | Harish Pothukuchi, Martin Schwab (4a Engineering) | 63 |
| 3 A - Materials / Crack / Deformation | Instant Material Property Prediction for Simulation Using Machine Learning Trained on Large-Scale Materials Data | Najib Baig (Total Materia) | 67 |
| 3 B - Engineering Simulation | Predicting Bearing Seal Performance: Simulation Study on Water Ingress and Seal Deformation | Mehul Pandya, Fabrizio Mandrile (SKF Technologies) | 69 |
| 3 B - Engineering Simulation | From Engineering Signals to Executive Decisions: Translating Software Usage Data into Shared Understanding | Niklas Larsson (Notrex) | 70 |
| 3 B - Engineering Simulation | Simulation as a Strategic Asset: Evolving SDM from Within the Enterprise | Dina Sotnik (PTC Sweden) | 71 |
| 3 B - Engineering Simulation | Handling the Obstacles to Virtual Engineering | Bernd Fachbach (Fachbach-Consulting) | 75 |
| 3 B - Engineering Simulation | Simulation Driven Design of Lattice Structures for Blast and Impact | Fredrik Nordgren, Lukasz Tazbir, Henry Sahlén (Siemens Digital Industries Software) | 79 |
| 4 A/B – Keynote Presentations | Multiphysics and Multiscale Modelling of Li-ion Batteries: For Reliable and Safe Battery Systems | David Carlstedt (RISE Research Institutes of Sweden) | 84 |
| 4 A/B – Keynote Presentations | Simulation-Driven Systems Engineering — Role of Simulation in Holistic Product Design | Juho Könnö (University of Oulu) | 88 |
| 4 A/B – Keynote Presentations | AI and Engineering Simulation | Frode Halvorsen (EDRMedeso) | 89 |
| 5 A - Multiphysics / Multiscale / NVH | Simulated Sound Reduction of Window Glazing Units | Anders Peter Fjeldsted Aunins (Velux) | 90 |
| 5 A - Multiphysics / Multiscale / NVH | CAE-Driven Auralization: From Virtual NVH Simulation to Perceived Sound | Massimiliano Calloni, Eva-Lotta Modin (Keysight Technologies) | 95 |
| 5 A - Multiphysics / Multiscale / NVH | Efficient Multiphysics Simulation of Fuel Cell and Electrolyzer Stack Modules Using Applied to Industry Cases | Tore Findsen, Jonathan Dallaire, Anoop Narayanan (Resolvent) | 98 |
| 5 A - Multiphysics / Multiscale / NVH | Multiscale Phase Field Modeling: Extending Classical FEA for Microstructure and Damage Driven Problems | Alexander Mavromaras, Leonid Kahle, Erich Wimmer, Kyle Starkey (Materials Design) | 101 |
| 5 A - Multiphysics / Multiscale / NVH | Cavitation Damage Prediction in Diesel Injector Nozzles: Geometry-Driven Robustness | Deepak J. Patil (Cummins Technologies India); Matthew State, Stephen Conway, N. Govindan (Cummins) | 105 |
| 6 A - AI/ML | Simulation-Driven Electric Powertrain Design Utilizing SysMLv2 for Automated Model Generation | Juho Könnö, Isa Banagar, Iiso Kramsu (SysAI) | 110 |
| 6 A - AI/ML | Physics Informed Neural Network for 3D Elasticity Based on Deep Energy Method: A Mesh-Based Approach for Complex Geometries | Ameer Hamza Arif, Jalal Torabi (Wärtsilä) | 114 |
| 6 A - AI/ML | Physics-Informed Neural Network Material Models for Crash Simulation of Additively Manufactured Metallic Structures | Sebastian Müller, Fatima Daim, Morgane Blondel, Tetsuro Matsumoto (Keysight Technologies); Eisei Higuchi (Honda R&D) | 116 |
| 6 B - Workflow | Accelerating Scientific Workflows with Domain-Specific Hardware: GPUs, Arm Chips and Beyond | Sam Zakrzewski (Rescale) | 121 |
| 6 B - Workflow | Efficient Workflows to Perform Physical Test and Simulation Correlations | Jan Granlund, Eric Veron (Dassault Systemes) | 127 |
| 6 B - Workflow | Dynamic Reporting and Post Processing for CFD: Improving Workflow Efficiency and Collaboration | Efthymia Chatzivasiloglou (BETA CAE / Cadence) | 128 |
| 6 B - Workflow | Advanced Engineering Methods in a Collaborative Environment to Accelerate Modern Vehicle Motor Design | M. Meshalkin, Nina Moëllo (pSeven) | 131 |
| Reference | nordic26-proceedings |
|---|---|
| Authors | NAFEMS Nordic Steering Committee NAFEMS |
| Language | English |
| Audience | Analyst |
| Type | Event Proceedings |
| Date | 19th May 2026 |
| Organisation | NAFEMS |
| Region | DACH |
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