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2017 World Solar Challenge: proudly supporting student teams on their adventure of a lifetime
Oct13

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.

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Shape Optimisation with the Adjoint solver, Part 2: Useful new features
Oct10

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.

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Next-Generation Robust Design Optimisation with ANSYS optiSLang
Jul24

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.

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Shape Optimisation without constraints - How to use the Adjoint Solver Part 1
Jul10

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.

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Innovation and ingenuity lead Team New Zealand to America’s Cup victory
Jun27

Innovation and ingenuity lead Team New Zealand to America’s Cup victory

LEAP and ANSYS congratulates Emirates Team New Zealand for their remarkable victory in the 2017 America’s Cup. More info on some of the unheralded innovations and ingenuity behind this engineering and sporting triumph.

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