MaShape optimization using the adjoint solver of Fluent
- Presented by: Morteza Monfaredi, Application Engineer, Simtec
Improving aerodynamic or fluid performance often requires multiple design iterations, and identifying which geometric features have the greatest impact can be challenging. Traditional trial-and-error approaches can slow down the design process and increase computational cost.
In this episode, Morteza Monfaredi introduces the adjoint solver in Ansys Fluent and demonstrates how it enables efficient, simulation-driven shape optimization. Attendees will learn how adjoint analyses generate sensitivity fields that reveal where geometry changes will most effectively reduce drag, pressure loss, or other key performance metrics. By using adjoint gradients to guide design updates, engineers can achieve better-performing designs with significantly fewer simulations and faster development cycles.