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May 2026 Special Focus: Artificial Intelligence in Design and Simulation
In this Special Focus Issue, learn about the latest developments in the integration of artificial intelligence into engineering workflows.
April 2026 Special Focus Issue: Generative Design
In this Special Focus Issue, Digital Engineering takes a look at how generative design solutions can be used across different types of design problems and with a variety of manufacturing approaches to accelerate design space exploration, and…
The latest version of Parasolid software is now available from Siemens Digital Industries Software. The updates to Parasolid include enhancements to Convergent Modeling technology, which can now operate on models containing a mix of facet B-rep surfaces and classic B-rep surfaces, helping to enable more efficient workflows in a wide range of applications. For example, in generative design, where new products are autonomously developed to satisfy design constraints, Convergent Modeling can restore precise, classic mating surfaces to a model that has undergone facet-based topology optimization. In reverse engineering processes, the new technology can be used to add precise analytic surfaces to scanned data of parts for remanufacture.
The Parasolid geometric modeling kernel is used in Siemens’ own Solid Edge software and NX software and is at the core of the Xcelerator portfolio’s open and flexible ecosystem. Parasolid is also used by over 350 other products including many CAD/CAM/CAE/AEC software applications.
Sources: Press materials received from the company and additional information gleaned from the company’s website.
Simcenter™ software, from Siemens Digital Industries Software, uniquely combines system simulation, 3D CAE and test to help you predict performance across all critical attributes earlier and throughout the entire product lifecycle. By combining…
Making the Case for Artificial Intelligence and Machine Learning in Engineering
In this paper, Siemens Digital Industries Software and Digital Engineering will provide an overview of how AI/ML-enabled software can improve design workflows, while also addressing common questions and concerns around implementing this technology in an engineering organization.
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