Automating Transformer Design with PyAEDT: Hitachi Energy Insights
Irene Woyna from Hitachi Energy shares how her team uses PyAEDT to automate multiphysics workflows in transformer development. PyAEDT is a Python ...
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Digitalisation
FAQ about optiSLang Base in Ansys Workbench – explained simply
Discover the most important questions and answers about the new optiSLang Base license in Ansys Workbench 2025 R2 – features, benefits, and easy ...
The path to the optimal variant: Shorter development cycles with parametric models
With over 75% time savings in product development and significantly better results, a project by BSH, CADFEM, and the University of Trieste shows how ...
Simulation Process and Data Management as a Strategic Lever in Digital Engineering
SPDM is the key to efficient Digital Engineering. It creates centralized data structures, automates workflows, and enables AI-driven innovation. ...
MRI despite implant? Simulation protects against heat damage
Magnetic resonance tomographs are now state of the art for diagnostic purposes in medical technology. However, the electromagnetic fields required ...
Quantum Computing Meets Digital Engineering: The Next Leap in Innovation
Quantum computers promise exponential computing power – but they only realize their potential through precise engineering. This article explains how ...
Customer value through the use of AI and simulation at Danfoss
Vladimir Shamai, Head of Digital Engineering Enablers at Danfoss, reports on the advantages and opportunities offered by the use of artificial ...
Simulation and Cloud Technology: Benefits and Performance
AWS Cloud Technology offers a broad range of benefits in terms of usage, performance, and security. In this interview, Dr. Sandeep Sovani talks about ...
AI and Implementation Strategies, Data Security and Open Source Alternatives
The STOCHOS AI solution has many features that make it interesting for SMEs. Thanks to its simple operation, STOCHOS can also be used locally, ...
Simulation of a thermal network model for lighting system drivers
Markus Mayrhofer and Dusko Vukovic (Tridonic GmbH & Co KG) have found a way to create more streamlined models for thermal simulations. They gave ...
