Archives for design optimisation

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.

Predicting Liner Wear in a SAG Mill using Rocky DEM coupled with ANSYS CFD

LEAP will be in Melbourne at the 2nd Int'l Symposium on Computational Particle Technology to showcase exciting new modelling work that has been completed recently using Rocky DEM and ANSYS CFD to predict liner wear in a semi-autonomous grinding (SAG) mill, using ANSYS CFD to model the effects of slurry flow within the mill on liner wear and particle breakage.

From tunnel ventilation to thermal comfort on your daily commute: CFD applications in the Rail industry

As you become more immersed in the world of CFD/simulations, you also begin looking around you and identifying more aspects of your everyday life impacted by engineering simulation. Learn how work by engineers in the Rail industry now means your daily commute contains many good examples of how CFD has improved both your comfort and safety.

Next-Generation Robust Design Optimisation with ANSYS optiSLang

ANSYS optiSLang Postprocessing the sensitivity study during an ongoing run

When dealing with a significant number of variables in our simulations, design engineers often find it challenging to work out which variables are the most important, and how to best tune these variables to improve performance. Learn how ANSYS optiSLang now offers a compelling proposition for answering these questions while giving engineers even more tools for exploring the possible performance envelope within key design parameters.

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