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Title: Evolutionary design of bone scaffolds with reference to material selection
Authors: Heljak, M.K.
Świeszkowski, W.
Lam, C.X.F. 
Hutmacher, D.W.
Kurzydlowski, K.J.
Keywords: FEM
Fused deposition modeling
Genetic algorithm
Issue Date: Jun-2012
Citation: Heljak, M.K., Świeszkowski, W., Lam, C.X.F., Hutmacher, D.W., Kurzydlowski, K.J. (2012-06). Evolutionary design of bone scaffolds with reference to material selection. International Journal for Numerical Methods in Biomedical Engineering 28 (6-7) : 789-800. ScholarBank@NUS Repository.
Abstract: 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 strength-degradation 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. © 2012 John Wiley & Sons, Ltd.
Source Title: International Journal for Numerical Methods in Biomedical Engineering
ISSN: 20407939
DOI: 10.1002/cnm.2487
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