Energy absorption characteristics of functionally graded polymer-based lattice structures filled aluminum tubes under transverse impact loading

This paper aims to evaluate the potential use of an innovative functionally graded lattice-filled composite beam composed of axial and radial graded three-dimensional lattice cores. Graded lattice filled circular beams with different graded patterns are compared with homogenous lattice filled counterparts. Graded lattice core samples are prepared using 3D printing techniques, inserted into thin-walled tubes and subjected to three-point bending loads. Then numerical models are created in Abaqus and verified against the experiments. Parametric studies find that the novel lattice-filled structure absorbs more energy but yields larger crushing force than the uniform counterpart. In addition, various parameters, like gradient parameter and filling length, thickness and yield stress of column wall, have a considerable impact on the crashworthiness of this novel structure. Finally, multi-objective optimization is performed to maximize specific energy absorption while reducing maximum impact force. Optimization results show that graded lattice-filled structures produce superior Pareto solutions than the ordinary counter-parts. Especially, the specific energy absorption can be increased to 173.9% and increasing graded lattice-filled structure has the best crashworthiness, and the least decreasing graded lattice-filled struc-ture. The functionally graded lattice core of this study provides a novel approach to design new crash-resistant energy absorber with high energy absorption capacity. (c) 2021 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Automated summary

This study evaluates the potential use of functionally graded lattice-filled composite beams and finds that they absorb more energy but yield larger crushing force compared to uniform counterparts. Various parameters have a significant impact on the crashworthiness of the structure, and multi-objective optimization results in superior Pareto solutions.