Inverse design of functional surfaces through low fidelity modelling.

Functional surfaces are extensively being designed for specific purposes within various industries. The inspiration for many of such surfaces has been derived from biological entities such as shark skin etc. In industry, various surfaces are created by physio-chemical properties of materials with appropriately aligned micro and nanostructures, and sophisticated solutions are found for range of problems. Many drag reducing organisms employ functional surfaces that control near-wall flow characteristics thus affecting their global flow performance. This study focuses on the inverse design of functional surfaces for targeted global flow related effects. At its core, the discussed methodology embeds low fidelity model for surface and corresponding flow events. Desired geometrical parameters are iteratively solved to achieve target flow characteristics.