Evolutionary design of bone scaffolds with reference to material selection

被引:13
作者
Heljak, M. K. [1 ]
Swieszkowski, W. [1 ]
Lam, C. X. F. [2 ]
Hutmacher, D. W. [3 ]
Kurzydlowski, K. J. [1 ]
机构
[1] Warsaw Univ Technol, Fac Mat Sci & Engn, PL-00661 Warsaw, Poland
[2] Natl Univ Singapore, Div Bioengn, Singapore 117548, Singapore
[3] Queensland Univ Technol, Inst Hlth & Biomed Innovat, Brisbane, Qld 4001, Australia
关键词
FEM; genetic algorithm; scaffold; fused deposition modeling; BIODEGRADABLE POLYMERS; GENETIC ALGORITHM; FUZZY-LOGIC; IN-VITRO; TISSUE; DEGRADATION; SIMULATION; ARCHITECTURES; REGENERATION; FABRICATION;
D O I
10.1002/cnm.2487
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The favourable scaffold for bone tissue engineering should have desired characteristic features, such as adequate mechanical strength and three-dimensional open porosity, which guarantee a suitable environment for tissue regeneration. In fact, the design of such complex structures like bone scaffolds is a challenge for investigators. One of the aims is to achieve the best possible mechanical strengthdegradation rate ratio. In this paper we attempt to use numerical modelling to evaluate material properties for designing bone tissue engineering scaffold fabricated via the fused deposition modelling technique. For our studies the standard genetic algorithm was used, which is an efficient method of discrete optimization. For the fused deposition modelling scaffold, each individual strut is scrutinized for its role in the architecture and structural support it provides for the scaffold, and its contribution to the overall scaffold was studied. The goal of the study was to create a numerical tool that could help to acquire the desired behaviour of tissue engineered scaffolds and our results showed that this could be achieved efficiently by using different materials for individual struts. To represent a great number of ways in which scaffold mechanical function loss could proceed, the exemplary set of different desirable scaffold stiffness loss function was chosen. Copyright (c) 2012 John Wiley & Sons, Ltd.
引用
收藏
页码:789 / 800
页数:12
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