Topology Optimization Design of Stretchable Metamaterials with Bezier Skeleton Explicit Density (BSED) Representation Algorithm

TL;DR

This paper introduces a Bezier skeleton explicit density (BSED) representation for topology optimization of stretchable metamaterials, producing smooth, manufacturable designs with fewer parameters and improved efficiency over traditional methods.

Contribution

The paper proposes a novel BSED representation that overcomes limitations of existing methods by producing smooth, concise, and manufacturable metamaterial designs with reduced design variables.

Findings

BSED produces smooth, manufacturable metamaterial structures.

The method reduces the number of design variables significantly.

Optimization is more efficient with small-scale algorithms.

Abstract

A new density field representation technique called the Bezier skeleton explicit density (BSED) representation scheme for topology optimization of stretchable metamaterials under finite deformation is proposed for the first time. The proposed approach overcomes a key deficiency in existing density-based optimization methods that typically yield designs that do not have smooth surfaces but have large number of small intricate features, which are difficult to manufacture even by additive manufacturing. In the proposed approach, Bezier curves are utilized to describe the skeleton of the design being optimized where the description of the entire design is realized by assigning thickness along the curves. This geometric representation technique ensures that the optimized design is smooth and concise and can easily be tuned to be manufacturable by additive manufacturing. In the optimization method, the density field is described by the Heaviside function defined on the Bezier curves. Compared to NURBS or B-spline based models, Bezier curves have fewer control parameters and hence are easier to manipulate for sensitivity derivation, especially for distance sensitivities. Due to its powerful curve fitting ability, using Bezier curve to represent density field allows exploring design space effectively and generating concise structures without any intricate small features at the borders. Furthermore, this density representation method is mesh independent and design variables are reduced significantly so that optimization problem can be solved efficiently using small-scale optimization algorithms such as sequential quadratic programming.