Prediction of Patient-Specific Tissue Engineering Scaffolds for Optimal Design - Volume 3 Number 5 (Oct. 2013) - ijmo
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General Information
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2013 Vol.3(5): 468-470 ISSN: 2010-3697
DOI: 10.7763/IJMO.2013.V3.322

Prediction of Patient-Specific Tissue Engineering Scaffolds for Optimal Design

Yong L. Chuan, Md. E. Hoque, and Ian Pashby
Abstract—The fabrication of patient-specific tissue engineering scaffold is highly appreciated that requires prior estimation of porous and mechanical characteristics. Architectural controllability and reproducibility are also essential aspects in the development of 3D functional scaffolds. This work presents a computational approach to determine porous and mechanical characteristics of 3D scaffolds. The computational modeling could be a powerful tool to assist designing 3D scaffold with optimum characteristics as required for a particular patient in need. The 3D scaffolds were successfully modeled investigating the influences of design parameters on the porous and mechanical properties via finite element analysis (FEA) and ANSYS application software. It was revealed by ANSYS that the increase in porosity decreased the mechanical properties and increased the damping factor. The Scaffold porosities were obtained in the range of 47% to 95% with varying pore shape and size by modulating lay-down pattern, filament diameter and filament distance.

Index Terms—Tissue engineering, scaffold, rapid prototyping, finite element analysis.

Yong L. Chuan is with the INTI International University (e-mail:
MD. E. Hoque and Ian Pashby are with the University of Nottingham Malaysia Campus.


Cite:Yong L. Chuan, Md. E. Hoque, and Ian Pashby, "Prediction of Patient-Specific Tissue Engineering Scaffolds for Optimal Design," International Journal of Modeling and Optimization vol. 3, no. 5, pp. 468-470, 2013.

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