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Guest Blog by RayGen: Powering a renewable energy future with simulation

RayGen explains their vision to accelerate the global transition to renewable energy and how they are using CFD simulation to deliver innovative solar infrastructure projects such as their unique ‘PV Ultra’ concentrated PV technology that provides dispatchable electricity, heat, cooling and desalinated water, all day and night.

F1 in Schools spotlight - Team Hydron racing into 2021 National Finals

F1 in Schools Spotlight: After achieving great success at the 2020 Virtual Victorian State Finals where they placed first overall and were awarded 11 of 13 category awards including Best Engineered and the Innovation Award, Team Hydron describe the many hours of CFD testing and design conducted by their engineering team, supported by LEAP Australia and Ansys.

How to Improve Pump Efficiency through CFD Simulations

In order to improve pump efficiency, pump designers require fine-grain insights into complex fluid dynamics within a pump to help them identify areas that can be refined to reduce losses during pump operation. In this example, we look at the workflow to improve an existing pump’s design without requiring the original CAD drawings – instead using scanned data of an existing pump design.

Guest Blog by MMS: Aero Mapping for Formula-SAE using CFD

Monash Motorsport has been designing Formula Student cars with wings and diffusers for many years, but this process has been fast-tracked through greater automation of Ansys CFD simulations to help the team gather more simulation data points & generate a comprehensive aero map to analyse the impact of changes in vehicle roll, yaw, steer and ride height.

A working example of a Simulation-enabled Digital Twin

Is your company developing a Digital Twin strategy? LEAP’s engineers have created working examples of a Simulation-based Digital Twin in action - a real-time, virtual replica of your equipment constantly updated through IoT data that provides you with:
- insight into real-time performance using extra Virtual Sensor outputs
- data to assess machine health & identify possible failure conditions
- actionable data to enable predictive maintenance & avoid costly downtime.

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