Archives for design optimisation

Guest Blog by Wood Australia: Transient CFD analysis of cooldown of Subsea Christmas Tree

Guest Blog by Wood Australia. Edward Yap, CFD Consultant and Deepak Jagannatha, Lead CFD Consultant, recently presented this in-depth look at their analysis of a Subsea Christmas Tree, commonly used in the Oil and Gas industry, as part of LEAP’s Ansys CFD Virtual User Group meeting.

Guest Blog by ECU-R: Analysing F-SAE Aerodynamic Flow Fields Using CFD

Guest blog by ECU-Racing on how the team uses CFD simulation to drive aerodynamic design improvements, explaining how CFD simulation results provide help identify problematic aspects such as flow separation, undesirable flow structures, and poor use of flow energy which can then lead to new ideas which can be tested in CFD to improve the overall flow around the car.

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.

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.

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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