Bioresorbable scaffolds for bone tissue engineering: Optimal design, fabrication, mechanical testing and scale-size effects analysis

被引:67
作者
Coelho, Pedro G. [1 ]
Hollister, Scott J. [2 ]
Flanagan, Colleen L. [2 ]
Fernandes, Paulo R. [3 ]
机构
[1] Univ Nova Lisboa, UNIDEMI, Dept Mech & Ind Engn, P-2829516 Caparica, Portugal
[2] Univ Michigan, Dept Biomed Engn, Ann Arbor, MI 48109 USA
[3] Univ Lisbon, Inst Super Tecn, IDMEC, LAETA, P-1049001 Lisbon, Portugal
关键词
Bone scaffolds; Multiscale models; Biofabrication; Mechanical testing; Homogenization; POLYCAPROLACTONE SCAFFOLDS; TOPOLOGY OPTIMIZATION; FREEFORM FABRICATION; SURFACE; REGENERATION;
D O I
10.1016/j.medengphy.2015.01.004
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Bone scaffolds for tissue regeneration require an optimal trade-off between biological and mechanical criteria. Optimal designs may be obtained using topology optimization (homogenization approach) and prototypes produced using additive manufacturing techniques. However, the process from design to manufacture remains a research challenge and will be a requirement of FDA design controls to engineering scaffolds. This work investigates how the design to manufacture chain affects the reproducibility of complex optimized design characteristics in the manufactured product. The design and prototypes are analyzed taking into account the computational assumptions and the final mechanical properties determined through mechanical tests. The scaffold is an assembly of unit-cells, and thus scale size effects on the mechanical response considering finite periodicity are investigated and compared with the predictions from the homogenization method which assumes in the limit infinitely repeated unit cells. Results show that a limited number of unit-cells (3-5 repeated on a side) introduce some scale-effects but the discrepancies are below 10%. Higher discrepancies are found when comparing the experimental data to numerical simulations due to differences between the manufactured and designed scaffold feature shapes and sizes as well as micro-porosities introduced by the manufacturing process. However good regression correlations (R-2 > 0.85) were found between numerical and experimental values, with slopes close to 1 for 2 out of 3 designs. (C) 2015 IPEM. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:287 / 296
页数:10
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