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.
Shape Optimisation without constraints - How to use the Adjoint Solver Part 1
![](https://www.computationalfluiddynamics.com.au/wp-content/uploads/2017/07/adjoint-f1-wing-cropped2.png)