Improving the finite element model accuracy of tissue engineered scaffolds produced by selective laser sintering
View/ Open
Date
2015-01-13Author
Lohfeld, Stefan
Cahill, Senan
Doyle, Heather
McHugh, Peter E.
Metadata
Show full item recordUsage
This item's downloads: 227 (view details)
Cited 18 times in Scopus (view citations)
Recommended Citation
Lohfeld, S., Cahill, S., Doyle, H., & McHugh, P. E. (2015). Improving the finite element model accuracy of tissue engineering scaffolds produced by selective laser sintering. Journal of Materials Science: Materials in Medicine, 26(1), 1-12. doi: 10.1007/s10856-014-5376-0
Published Version
Abstract
In bone tissue engineering, both geometrical and mechanical properties of a scaffold play a major part in the success of the treatment. The mechanical stresses and strains that act on cells on a scaffold in a physiological environment are a determining factor on the subsequent tissue formation. Computational models are often used to simulate the effect of changes of internal architectures and external loads applied to the scaffold in order to optimise the scaffold geometry for the prospective implantation site. Finite element analysis (FEA) based on computer models of the scaffold is a common technique, but would not take into account actual inaccuracies due to the manufacturing process. Image based FEA using CT scans of fabricated scaffolds can provide a more accurate analysis of the scaffold, and was used in this work in order to accurately simulate and predict the mechanical performance of bone tissue engineering scaffolds, fabricated using selective laser sintering (SLS), with a view to generating a methodology that could be used to optimise scaffold design. The present work revealed that an approach that assumes iso- tropic properties of SLS fabricated scaffolds will lead to inaccurate predictions of the FE model. However, a dependency of the greyvalue of the CT scans and the mechanical properties was discovered, which may ultimately lead to accurate FE models without the need of experimental validation.
Collections
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland
Related items
Showing items related by title, author, creator and subject.
-
Improving the sensitivity of radar-based breast imaging algorithms in diverse patient populations
O'Loughlin, Declan Denis (NUI Galway, 2018-09-03)Radar-based imaging is an emerging modality for breast cancer screening. Two commercial radar-based imaging devices are being tested in patient imaging studies. Promising initial results have highlighted the potential of ... -
Ontology learning for systems engineering body of knowledge
Yang, Lan (NUI Galway, 2020-09-14)Systems engineering (SE) is a multidisciplinary and integrative approach that enables the successful realization of engineered systems. It encompasses fundamentals, principles, and models of foundational systems science, ... -
In the quest of the optimal collagen type II source for articular cartilage engineering
Wu, Zhuning (NUI Galway, 2021-08-26)Articular cartilage is a specialised connective tissue of joints, which lacks blood vessels, lymphatics and nerves. The limited capability of articular cartilage to self-repair renders its regeneration a formidable challenge. ...