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Ansys CFD

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.

    Q&A with 2017 F1 in Schools National Champions – Golden Diversity

      Leading to 2019 National Finals, hear some insights from Hoai Nguyen, Design Engineer from the Golden Diversity F1 in Schools team from Queechy High School – Hoai was closely involved in using CFD simulations and Augmented Reality for their car and display for the 2017 World Finals.

      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.

        2017 World Solar Challenge: proudly supporting student teams on their adventure of a lifetime

          The world’s best solar car teams are driving into Adelaide today, 4-5 days after they started their journey in Darwin, and 2+ years after commencing their initial planning and engineering design following the 2015 competition. Congratulations to all the teams – read more about the simulation work done by committed student teams in the lead-up to this pioneering race.

          ANSYS optiSLang Postprocessing the sensitivity study during an ongoing run

          Next-Generation Robust Design Optimisation with ANSYS optiSLang

            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.

            Shape Optimisation without constraints – How to use the Adjoint Solver Part 1

            Engineers are continually under pressure to improve the performance of their products and often look to gain an edge using optimisation techniques – trying to reduce drag, increase lift (or downforce), or reduce pressure drop. Rather than relying on intuition to make geometry changes that are often constrained (using a parametric CAD approach), you can now use the new Adjoint solver to compute localised sensitivity data (related to your objectives) and optimize your design semi-automatically.