Hexagon MSC Software

One of the picks will be chosen as DE’s Editor’s Pick of the Week.

Electrification is the single largest disruptor that has occurred to mobility in decades and in particular it is impacting the automotive industry faster and more widely than other sectors.

ODYSSEE CAE helps Satven reduce the time required for trimmed body NVH simulations and optimization from multiple days to a few minutes.

Knowledge drives innovation, Innovation drives productivity, Productivity drives economic growth. At Hexagon Manufacturing Intelligence, we follow this message rigorously, ensuring that all our efforts are concentrated on knowledge, cutting-edge innovation, and, most importantly, solving more complex problems because this will...

Motor company receives award for multiphysics unmanned helicopter noise simulation.

Simulation brings many benefits to design engineering—but it’s not a one-size-fits-all option for certain use cases.

As vehicle design increases in complexity, so does simulation, allowing design teams to safely simulate designs before they become road-ready.

Simulation and manufacturing can benefit from AI, but adoption hurdles still exist.

Additive manufacturing and generative design have been tied inextricably to lightweighting—but this tech combo can do much more for engineers.

The Cloud Connects Real-World Data to Digital Replica

Simulation replaces trial-and-error processes and a reliance on tribal knowledge to pave the way for widespread AM adoption for production use cases.

MSC Cradle CFD simulation explores the impact of ventilation and social distancing on in-door dining scenarios to promote safe practices aimed at reducing the spread.

A focus on post-processing capabilities and creative use of emerging technologies takes the democratization of simulation to the next level, boosting accessibility of analysis-driven insights.

Web-based simulation and test data management system addresses all phases from project initiation through product launch and beyond.

Vendors explore the impact of machine learning for simulation models and processing.