ProgSim, the German NAFEMS Online Magazine

Relaunched - focusing on AI/ML, SPDM, and CAE

ISSN 2311-522X

The magazine "ProgSim" (Progressive Simulation) is the online magazine for engineering simulation focusing on Artificial Intelligence (AI), Machine Learning (ML), Simulation Process and Data Management (SPDM), Computer Aided Engineering (CAE) / numerical simulation methods and related fields.

AI / ML
Today, a new generation of predictive models is emerging. These models go beyond integral values – they can predict high-dimensional outputs such as spatially and time-resolved quantities. While the potential impact on CAE-based workflows is significant, industry adoption is slow. Questions regarding robustness, data generation, generalization, validation, and integration into existing simulation environments remain.

SPDM
Information about best practice methodologies – and challenges – in SPDM deployment as well as strategic value of SPDM solutions are essentiall. Real-world examples of the business benefits and competitive advantages that can be gained from the adoption of SPDM solutions, including early AI deployments utilizing SPDM.

CAE
Standards for exchange, collaborative working, and long-term archival of simulation datasets are as vital as data and process integration tools. How best to achieve technical interoperability between CAE tools, PDM/PLM systems, and AI agents to ensure seamless data flow.

The first issue is planned for June 2026. Please send requests, information and article suggestions to magazin@nafems.de

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NAFEMS Online Magazine, Issue 73 published on the 12th of March 2025

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In 2005, NAFEMS launched "Magazin", an online publication in the German language, specifically aimed at the analysis community in the DACH region.

The 73rd edition of the NAFEMS Online-Magazine with technical reports, information on upcoming events and trainings etc. is now available for free download.

The German-language magazine is published four times a year and is aimed at users of numerical simulation methods and related areas: FEM, CFD, MKS, VR, process simulation, SDM. Technical articles in this issue are:

Maschinelles Lernen

KI in CFD-Simulationen: Neuronale Netzwerke optimieren atmosphärische Wassergeneratoren zur Reduktion des Energiebedarfs
Florian Dirisamer (Digital Physics AI)

Kontaktsimulation

GPU-beschleunigte automatische Kontakterkennung
Stephanie Ferreira, Tristan Schulz, Sebastian Besler, Johannes Mueller-Roemer, Daniel Weber (Fraunhofer IGD / TU Darmstadt)

Spritzwasserschutz

Sicherstellung des IP-Spritz- und Strahlwasserschutzes mit hochautomatisierter SPH-Simulation
Kai Häberle (Alfred Kärcher); Benjamin Legrady (DIVE Solutions)

Schweißnähte

Bewertung von Schweißnähten auf der Grundlage von Finite-Elemente-Analysen
Peter Reimers (IWiS)

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Sponsors of this issue:

We would like to thank our sponsors and advertisers. Only in this way is it possible for us to make the magazine available free of charge and thus further promote the safe and reliable use and dissemination of numerical simulation technologies.

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