Simcenter simulation and testing solutions help engineering departments simulate, optimize and verify critical performance aspects of complex products. Simcenter uniquely combines system simulation, 3D CAE and test.
How a small change can reshape an aircraft program 243 kilograms isn’t a particularly large number on an aircraft weighing…
What’s new ADAS and autonomous system development increasingly relies on Python, machine learning frameworks, and large volumes of sensor data. Yet…
I remember very clearly the day I saw the job opening in the Simcenter STAR-CCM+ Product Management (PM) team. The…
Simcenter Fluxmotor 2026.1 introduces new capabilities for multiphase machine design, thermal-aware performance evaluation and enhanced connectivity across the Simcenter portfolio, helping engineers accelerate machine development from concept exploration to connected engineering workflows.
Can you improve excavator productivity without increasing fuel consumption or mechanical failures? Anyone involved in excavator design knows the dilemma….
Discover what’s new in Simcenter Feko 2026.1, with enhancements for large-scale electromagnetic simulation, antenna engineering, wireless system analysis and design exploration.
Welcome to the first part in a six-part series, demonstrating the importance of robust model management in the creation and…
Discover what’s new in Simcenter S-Frame suite v2026.1: ADM 2020 aluminum design, CSA A23.3:24 concrete code, NDS 2024 timber support, enhanced foundation analysis, and updated steel databases.
Simcenter Flightstream 26.1 is now available for aerospace and marine CFD engineers seeking faster workflows and deeper aerodynamic and hydrodynamic…
Discover how Geometric Deep Learning powers Simcenter PhysicsAI to deliver fast, accurate CFD & FEA surrogate models – cutting simulation time from days to seconds.
Starting from 2026.1, Simcenter EDEM enables users to automate DEM simulation workflows using a new JSON format that lets users…
From shop floor intuition to AI-powered foresight – discover how Simcenter Reduced Order Modeling uses Bayesian Neural Networks to predict CNC tool wear and remaining useful life.
