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Integration of Rocky DEM + Ansys for Particle-Fluids systems

Rocky is a powerful, 3D DEM program that quickly and accurately simulates particle behaviour within bulk materials handling systems used across a variety of industries including mining and minerals processing, food and beverage, pharmaceutical, agricultural and any industry dealing with particulate systems or solids handling applications. Some keys features include: an extensive library of realistic particle shapes, an intuitive and easy-to-use interface, superior scalability with CPU, GPU and multi-GPU processing, advanced breakage and flexible particle models, evaluation of belt and surface wear, integration with Ansys FEA and CFD, complex moving and vibrating boundaries and more. In this article, we will focus on the integration with Ansys FEA and CFD and provide some examples to demonstrate how this works and why it is needed.   ROCKY...

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.

How can CFD help us better understand the physics of reverse-swing bowling?

In cricket, reverse swing bowling is much talked-about but often misunderstood. Conditions in the much anticipated 2019 Ashes cricket series between Australia and England are expected to be conducive to reverse-swing bowling. Let's use some CFD examples to help better understand the science of reverse-swing bowling.

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.

Shape Optimisation with the Adjoint solver, Part 2: Useful new features

In our 2nd part of a series on the Adjoint solver, learn how recent developments have focused solely on improving the usefulness of the Adjoint solver for real-world customer problems - allowing for definition of multiple objectives; expanding to include more physics; and allowing more user control over geometry modifications and constraints.

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.

AR amplifies the insights and impact of CFD

LEAP Australia stand at Austech/NMW 2017 demonstrating CFD simulation results with augmented reality

Learn about Augmented Reality (AR) technology that was showcased at 2017 National Manufacturing Week / Austech: including the ability to augment pressure contours on the front and rear wings of the MMS racecar, as well as visualise the animated flow streamlines being released forward of the front wing. Students from MMS are using these AR CFD results to collaborate more effectively in a multi-disciplinary team environment where not everyone is a CFD expert and hopefully achieve their ultimate goals of maximising downforce on the front/rear wings and optimising the aerodynamic performance of their racecar.

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