Tailoring crushing responses of hexagonal crash box filled with additively manufactured lattice structures by assessing the influence of material parameters
Abstract
Hexagonal crash boxes offer superior crashworthiness compared to other cross-sectional geometries, and their performance can be further enhanced by integrating additively manufactured lattice fillers. This study investigates the quasi-static crushing behavior of hexagonal crash boxes filled with hexagonal close-packed (HCP) lattice structures fabricated via stereolithography (SLA). Finite element models developed in ABAQUS/Explicit, validated against quasi-static compression experiments, show discrepancies below 5%, indicating that polymeric lattice fillers provide modest performance gains, achieving a crushing force efficiency (CFE) of 20%–25%. Replacing polymeric lattices with metallic fillers, namely 316L stainless steel and Ti–6Al–4V titanium alloy, substantially increases energy absorption, with Ti–6Al–4V delivering the highest specific energy absorption ( S E A ) due to its favorable strength-to-weight ratio. The combined experimental–numerical investigation demonstrates that both lattice architecture and material selection critically control crash performance, highlighting the trade-off between total energy absorption and mass efficiency. These findings provide an engineering design strategy for optimizing lightweight, high-performance crashworthy structures using lattice-filled crash boxes, enabling enhanced safety without excessive weight penalties. • Hexagonal close-packed lattice fillers enhance crash box energy absorption. • Finite element models of lattice-filled crash boxes are validated experimentally. • Fracture energy calibration in FE models is required for accurate predictions. • High specific-strength lattice fillers enhance crash box specific energy absorption. • Ti–6Al–4V provides the highest specific energy absorption among studied materials.
Fields of Study & Subjects
Cellular and Composite Structures
Additive Manufacturing and 3D Printing Technologies
Topology Optimization in Engineering
Publication details
- Journal / source
- Next Materials
- Publisher
- Elsevier BV
- Volume
- 12
- Pages
- 102268–102268
- Publication date
- 16 May 2026
- Language
- EN