In this white paper, the authors describe the settings and results of a transient–transient co-simulation using Ansys Icepak® software and Ansys Mechanical™ software for analyzing the performance of a new generation of low-voltage circuit breakers.
Watch Day 1 of the Digital Solutions for the Energy Industry event to discover how our solutions are helping the energy sector tackle its key challenges.
Watch Day 2 of the Digital Solutions for the Energy Industry event to discover how our solutions are helping the energy sector tackle its key challenges.
Join us for an exclusive virtual event showcasing the latest advancements in metalens design and simulation using Ansys Zemax OpticStudio and Ansys Lumerical.
A researcher from Kyushu University used Ansys software to help students gain practical, real-world knowledge by incorporating hands-on exercises in Ansys optical software.
Download this white paper to learn more about the Ansys Simulation Transformation Assessment, a customized, systematic review of how simulation is being leveraged to impact your company’s overall goals.
Since 2019, HSD has relied on a suite of Ansys solutions, including Ansys Mechanical and Ansys Fluent, to simulate the real-world performance of its electrospindles and other machine tools in customer applications.
The aviation industry currently produces 12% of all transport emissions, but, with the aid of simulation, is aiming to curb emissions and reach net zero by 2050.
Safety and security are the leading differentiators in autonomous
and software-defined vehicles. Engineering simulation and
model-based approaches help master these two pillars to enable
the survival of vehicle development.
The road to electric vehicle cost-parity is riddled with red lights. Engineering simulation technology speeds up development, improves quality, and cuts costs to reach net-zero faster.
To develop an industrial manufacturing base and highly complex rocket components, the Aerospace Systems Research Institute (ASRI) uses Ansys simulation software.
As artificial intelligence (AI) and machine learning (ML) continue to revolutionize industries, their integration with simulation is amplifying the capabilities of digital
twins.