Biomechanical properties of cylindrical and twisted triply periodic minimal surface scaffolds fabricated by laser powder bed fusion

Jin, Yuan; Zou, Sijia; Pan, Bingchu; Li, Guangyong; Shao, Lei; Du, Jianke

doi:10.1016/j.addma.2022.102899

Cited by 8 publications

(2 citation statements)

References 58 publications

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“…Furthermore, Figure 6 c shows micro-voids and cracks. These internal voids are inevitable for AM parts and generally attributed to the trapped gas and insufficient fusion of the powder during the manufacturing process [ 34 ]. Overall, the printed samples are consistent with the CAD models, there are no obvious defects or damaged cells on the printed samples and the deviation can be controlled effectively during the AM process.…”

Section: Resultsmentioning

confidence: 99%

Additively Manufactured Scaffolds with Optimized Thickness Based on Triply Periodic Minimal Surface

Zhu

Zou

et al. 2022

Materials

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Triply periodic minimal surfaces (TPMS) became an effective method to design porous scaffolds in recent years due to their superior mechanical and other engineering properties. Since the advent of additive manufacturing (AM), different TPMS-based scaffolds are designed and fabricated for a wide range of applications. In this study, Schwarz Primitive triply periodic minimal surface (P-TPMS) is adopted to design a novel porous scaffold according to the distribution of the scaffold stress under a fixed load with optimized thickness to tune both the mechanical and biological properties. The designed scaffolds are then additively manufactured through selective laser melting (SLM). The micro-features of the scaffolds are studied through scanning electron microscopy (SEM) and micro-computed tomography (CT) images, and the results confirm that morphological features of printed samples are identical to the designed ones. Afterwards, the quasi-static uniaxial compression tests are carried out to observe the stress–strain curves and the deformation behavior. The results indicate that the mechanical properties of the porous scaffolds with optimized thickness were significantly improved. Since the mass transport capability is important for the transport of nutrients within the bone scaffolds, computational fluid dynamics (CFD) are used to calculate the permeability under laminar flow conditions. The results reveal that the scaffolds with optimized structures possess lower permeability due to the rougher inner surface. In summary, the proposed method is effective to tailor both the mechanical properties and permeability, and thus offers a means for the selection and design of porous scaffolds in biomedical fields.

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Section: Resultsmentioning

confidence: 99%

Additively Manufactured Scaffolds with Optimized Thickness Based on Triply Periodic Minimal Surface

Zhu

Zou

et al. 2022

Materials

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“…Also, TPMS lattice materials offer significant advantages, including weight reduction, high strength, superior shock resistance, excellent energy absorption, excellent pore connectivity, high surface-to-volume ratio, smooth curvatures and joints and high permeability [32]. In light of these properties, TPMS lattices have found applications in biomedicine [24][25][26], as well as photovoltaic, electrochromic devices, and aerospace [27].…”

Section: Introductionmentioning

confidence: 99%

Multi-Material Additive Manufacturing of PLLA-HA/GO Scaffold Fabricated via DLP for Bone Loss: Experimental Investigation, Numerical Analysis, and Cell Study

Ghaderi,

Behravesh,

Hedayati

et al. 2023

Preprint

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In this study, an optimized multi-material system was designed and developed to print samples in various applications, including biomedical fields (e.g., mandibular bone loss). To improve the mechanical and biological properties of scaffolds utilized for dental bone loss applications, a multi-material setup was devised, which employs digital light processing technology. This setup consists of a linear system comprising two resin vats and one ultrasonic cleaning tank, enabling the integration of diverse materials and structures to optimize the composition of the scaffold. This approach was used to print multi-material PLLA scaffolds containing 20 wt.%. HA on the interior side, and PLLA containing 1 wt.% GO on the exterior surface of the scaffold, which were evaluated mechanically and biologically after printing. The scaffold was designed using a triply periodic minimal surface (TPMS) lattice structure, which is known to possess favorable mechanical and biological properties. Various multi-material samples were successfully printed and evaluated to illustrate the multiple-material setup's potential for ensuring proper function, cleaning, and adequate interface bonding. By numerically evaluating several TMPS structures, a novel Gyroid TPMS scaffold with a nominal porosity of 50% was developed and validated experimentally. The biological properties of the scaffolds were also evaluated, including surface morphology, (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) MTT assay, and cell adhesion. Based on the results, multi-material components with the least contaminations with suitable mechanical and biological properties were successfully printed. By combining PLLA-HA and PLLA-GO, this innovative technique holds tremendous potential for enhancing the effectiveness of regenerative procedures in the field of dentistry.

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Topology optimisation for design and additive manufacturing of functionally graded lattice structures using derivative-aware machine learning algorithms

Wu,

Luo,

Zhong

et al. 2023

Additive Manufacturing

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Biomechanical properties of cylindrical and twisted triply periodic minimal surface scaffolds fabricated by laser powder bed fusion

Cited by 8 publications

References 58 publications

Additively Manufactured Scaffolds with Optimized Thickness Based on Triply Periodic Minimal Surface

Additively Manufactured Scaffolds with Optimized Thickness Based on Triply Periodic Minimal Surface

Multi-Material Additive Manufacturing of PLLA-HA/GO Scaffold Fabricated via DLP for Bone Loss: Experimental Investigation, Numerical Analysis, and Cell Study

Topology optimisation for design and additive manufacturing of functionally graded lattice structures using derivative-aware machine learning algorithms

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