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.
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.
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.
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.
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.