Fractal algorithm for 3D-printed continuous porous scaffold design

In practice, 3D modelling software, such as UG and Pro/E, are commonly adopted to design porous scaffolds within given contours. However, this manual method is quite time-consuming and complicated with poor adaptability. In this study, a novel facial algorithm is proposed for smart scaffold design....

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Bibliographic Details
Published in:Journal of engineering (Stevenage, England) Vol. 2019; no. 14; pp. 485 - 489
Main Authors: Zhao, Zongyue, Chen, Xiaojun
Format: Journal Article
Language:English
Published: The Institution of Engineering and Technology 01.02.2019
Subjects:
3D modelling software
3D‐printed continuous porous scaffold design
biomedical materials
CAD
cellular biophysics
dendritic fractal network
facial algorithm
fractal algorithm
fractals
generated model
hollow contour shapes
input model
orthopaedics
porosity
porous materials
porous scaffolds
prosthetics
second‐order uniformity
smart scaffold design
solid modelling
The 14th Asian Conference on Computer Aided Surgery (ACCAS 2018)
tissue engineering
3D-printed continuous porous scaffold design
tissue engineering
orthopaedics
cellular biophysics
input model
porosity
porous scaffolds
CAD
smart scaffold design
fractals
hollow contour shapes
fractal algorithm
facial algorithm
prosthetics
generated model
biomedical materials
porous materials
second-order uniformity
3D modelling software
solid modelling
dendritic fractal network
ISSN:2051-3305, 2051-3305
Online Access:Get full text
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Summary:In practice, 3D modelling software, such as UG and Pro/E, are commonly adopted to design porous scaffolds within given contours. However, this manual method is quite time-consuming and complicated with poor adaptability. In this study, a novel facial algorithm is proposed for smart scaffold design. By forming a dendritic fractal network, the second-order uniformity and complete connectivity of pores are guaranteed while considering the axial symmetry of certain orthopaedic implants, and the algorithm is adapted for concave and hollow contour shapes. Through experiments, the stability of the algorithm and the characteristics of the two vital performance indicators, i.e. porosity $P{\rm \; }$P and surface area ratio R, are studied. The results show that P and $R{\rm \; }$R of the generated model are insensitive to the shape of the input model, which proves the stability of authors’ method, and the maximum available porosity reaches 78%, higher than the maximum effective porosity found in the literature.
ISSN:2051-3305
2051-3305
DOI:10.1049/joe.2018.9404