Wood biomimetics: Capturing and simulating the mesoscale complexity of willow using cross-correlation reconstruction algorithm and 3D printing

• DOI: 10.1016/j.matdes.2023.111812
• Publication Date: 2023-03-12T00:33:05Z
• Authors: Jin Tao; Pejman Tahmasebi; Md Abdul Kader; Dengcheng Feng; Muhammad Sahimi; Philip D. Evans; Mohammad Saadatfar
• Keywords: Biomimetics

Biomimetics -using nature to inspire innovation- has resulted in the development of many novel materials. Wood, nature's light-weight structural material, defies mimicry at multiple scales, but its design features have been abstracted and used develop honeycomb composites limited geometric complexity. In this paper we demonstrate how it is possible more completely biomimic wood, capture exquisite mesoscale reproduce mechanical properties. We utilised micro computed tomography (XCT) image willow wood a cross-correlation reconstruction algorithm mimic 3D microstructure using minimal information. The properties simulated were compared with those derived from parent XCT data finite-element simulations testing printed samples both types. porosity connectivity sample types was also compared. Our able critical elements high degree fidelity, while closely matched. conclude that our image-based stochastic modelling biomimetics offers unique approach capturing complexity will lead new opportunities for designing materials inspired by xylotomy powered fast high-performance computation.