Isotropic octet-truss lattice structure design and anisotropy control strategies for implant application

Feng, Jiawei; Liu, Bo; Lin, Zhiwei; Fu, Jianzhong

doi:10.1016/j.matdes.2021.109595

Cited by 78 publications

(33 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…FEA is commonly used for simulating the experimental process and validating testing results. Researchers usually conducted FEA for performance evaluation [50][51][52], structure design [53], investigating configurational effects [54], and studying the failure mechanism [55,56]. Digital image correlation (DIC) is a 3D, full-field, non-contact optical technique to measure contour, deformation, vibration, and strain on almost any material.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Compressive and Tensile Behavior of Stainless Steel/Dissolvable Aluminum Bimetallic Composites by Finite Element Modeling and Digital Image Correlation

Ghasri-Khouzani

Bogno

et al. 2021

Materials

View full text Add to dashboard Cite

This study reports fabrication, mechanical characterization, and finite element modeling of a novel lattice structure based bimetallic composite comprising 316L stainless steel and a functional dissolvable aluminum alloy. A net-shaped 316L stainless steel lattice structure composed of diamond unit cells was fabricated by selective laser melting (SLM). The cavities in the lattice structure were then filled through vacuum-assisted melt infiltration to form the bimetallic composite. The bulk aluminum sample was also cast using the same casting parameters for comparison. The compressive and tensile behavior of 316L stainless steel lattice, bulk dissolvable aluminum, and 316L stainless steel/dissolvable aluminum bimetallic composite is studied. Comparison between experimental, finite element analysis (FEA), and digital image correlation (DIC) results are also investigated in this study. There is no notable difference in the tensile behavior of the lattice and bimetallic composite because of the weak bonding in the interface between the two constituents of the bimetallic composite, limiting load transfer from the 316L stainless steel lattice to the dissolvable aluminum matrix. However, the aluminum matrix is vital in the compressive behavior of the bimetallic composite. The dissolvable aluminum showed higher Young’s modulus, yield stress, and ultimate stress than the lattice and composite in both tension and compression tests, but much less elongation. Moreover, FEA and DIC have been demonstrated to be effective and efficient methods to simulate, analyze, and verify the experimental results through juxtaposing curves on the plots and comparing strains of critical points by checking contour plots.

show abstract

Section: Introductionmentioning

confidence: 99%

Investigation of Compressive and Tensile Behavior of Stainless Steel/Dissolvable Aluminum Bimetallic Composites by Finite Element Modeling and Digital Image Correlation

Ghasri-Khouzani

Bogno

et al. 2021

Materials

View full text Add to dashboard Cite

show abstract

“…Another emerging utility of the topology optimization techniques is to mitigate the anisotropic behavior of the porous structures. Using the curvature wall thickness adjustment algorithms, in combination with finite element methods, anisotropic architectures could be reshaped to their isotropic equivalents [ 134 , 135 ].…”

Section: Design Methodologies For Implant Additive Manufacturingmentioning

confidence: 99%

Additively manufactured metallic biomaterials

Davoodi

Montazerian

Mirhakimi

et al. 2022

Bioactive Materials

View full text Add to dashboard Cite

“…We emphasize that our design and stiffness spaces of truss lattices (categorized into 262 unique topologies) are vastly larger than those of the closest comparable approaches ( 19 , 21 , 49 ), which examined a small set of topologies and limited the property space by varying only the relative density of elementary building blocks. As illustrated by the examples in Fig.…”

Section: Creating a Diverse Lattice Design Spacementioning

confidence: 99%

“…Prior research has identified a myriad of architectures with tailored anisotropy-behaving stiff in some directions and compliant in others. Most popular for its simple fabrication and property extraction has been the class of truss lattices (13,(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28). In principle, arbitrary thermodynamically admissible stiffness combinations can be achieved by the complex arrangement of trusses (20), which may be guided by topology optimization schemes (also referred to as inverse homogenization) (13).…”

mentioning

confidence: 99%

Inverting the structure–property map of truss metamaterials by deep learning

Bastek

Kumar

Telgen

et al. 2021

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

Inspired by crystallography, the periodic assembly of trusses into architected materials has enjoyed popularity for more than a decade and produced countless cellular structures with beneficial mechanical properties. Despite the successful and steady enrichment of the truss design space, the inverse design has remained a challenge: While predicting effective truss properties is now commonplace, efficiently identifying architectures that have homogeneous or spatially varying target properties has remained a roadblock to applications from lightweight structures to biomimetic implants. To overcome this gap, we propose a deep-learning framework, which combines neural networks with enforced physical constraints, to predict truss architectures with fully tailored anisotropic stiffness. Trained on millions of unit cells, it covers an enormous design space of topologically distinct truss lattices and accurately identifies architectures matching previously unseen stiffness responses. We demonstrate the application to patient-specific bone implants matching clinical stiffness data, and we discuss the extension to spatially graded cellular structures with locally optimal properties.

show abstract

Isotropic octet-truss lattice structure design and anisotropy control strategies for implant application

Cited by 78 publications

References 35 publications

Investigation of Compressive and Tensile Behavior of Stainless Steel/Dissolvable Aluminum Bimetallic Composites by Finite Element Modeling and Digital Image Correlation

Investigation of Compressive and Tensile Behavior of Stainless Steel/Dissolvable Aluminum Bimetallic Composites by Finite Element Modeling and Digital Image Correlation

Additively manufactured metallic biomaterials

Inverting the structure–property map of truss metamaterials by deep learning

Contact Info

Product

Resources

About