Fiber bundle topology optimization for surface flows

TL;DR

This paper introduces a fiber bundle topology optimization method for surface flows on variable domains, combining differential geometry, PDE filtering, and Navier-Stokes equations to optimize flow patterns on implicit 2-manifolds.

Contribution

It develops a novel fiber bundle topology optimization framework for surface flows, integrating differential geometry, PDE filtering, and flow simulation on implicit manifolds.

Findings

Successfully optimized surface flow patterns with combined viscous dissipation and pressure drop objectives.

Demonstrated the effectiveness of the fiber bundle approach through numerical examples.

Showed the coupling of surface-PDE filters improves the stability and accuracy of the optimization.

Abstract

This paper presents a topology optimization approach for the surface flows on variable design domains. Via this approach, the matching between the pattern of a surface flow and the 2-manifold used to define the pattern can be optimized, where the 2-manifold is implicitly defined on another fixed 2-manifold named as the base manifold. The fiber bundle topology optimization approach is developed based on the description of the topological structure of the surface flow by using the differential geometry concept of the fiber bundle. The material distribution method is used to achieve the evolution of the pattern of the surface flow. The evolution of the implicit 2-manifold is realized via a homeomorphous map. The design variable of the pattern of the surface flow and that of the implicit 2-manifold are regularized by two sequentially implemented surface-PDE filters. The two surface-PDE filters are coupled, because they are defined on the implicit 2-manifold and base manifold, respectively. The surface Navier-Stokes equations, defined on the implicit 2-manifold, are used to describe the surface flow. The fiber bundle topology optimization problem is analyzed using the continuous adjoint method implemented on the first-order Sobolev space. Several numerical examples have been provided to demonstrate this approach, where the combination of the viscous dissipation and pressure drop is used as the design objective.