A Quasi-Optimal Shape Design Method for Lattice Structure Construction

TL;DR

This paper introduces an optimization-based method using Grey Wolf optimization to design robust, shape-optimized lattice structures by simplifying strut intersections, validated through complex case studies.

Contribution

It presents a novel approach combining shape optimization and meta-heuristic algorithms to improve lattice structure construction robustness.

Findings

Effective in handling complex lattice topologies

Ensures robust node and strut connections

Validated through multiple case studies

Abstract

Lattice structures, known for their superior mechanical properties, are widely used in industries such as aerospace, automotive, and biomedical. Their advantages primarily lie in the interconnected struts at the micro-scale. The robust construction of these struts is crucial for downstream design and manufacturing applications, as it provides a detailed shape description necessary for precise simulation and fabrication. However, constructing lattice structures presents significant challenges, particularly at nodes where multiple struts intersect. The complexity of these intersections can lead to robustness issues. To address this challenge, this paper presents an optimization-based approach that simplifies the construction of lattice structures by cutting struts and connecting them to optimized node shapes. By utilizing the recent Grey Wolf optimization method -- a type of meta-heuristic method -- for node shape design, the approach ensures robust model construction and optimal shape design. Its effectiveness has been validated through a series of case studies with increasing topological and geometric complexity.