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ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

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3. METHODS<br />

The main advantage of the multiscale optimization model [3,4] applied to the design of<br />

scaffolds is that it allows not only to apply more accurately boundary conditions to the<br />

scaffold design domain but also tailoring its material microstructure to meet proper local<br />

mechanical and biological functions. This is achieved because the material model<br />

comprises two scales, one identified with the organ level/scaffold (macroscale) and<br />

another with the scaffold pore level (microscale), see figure 1. A material distribution<br />

problem governed by density based design variables in the top of FE meshes is solved<br />

for each scale characterizing thus scaffold topology and respective material<br />

microstructure or unit-cell (periodically repeated). The scaffold domain is discretized by<br />

750 hexahedral solid isoparametric finite elements with 8 nodes while the unit-cell<br />

domain by 8000. Periodicity boundary conditions are applied to the unit-cell domain<br />

and the material microstructure solution of the optimization problem is uniform across<br />

the scaffold domain for the sake of manufacturability. A multiload case is considered<br />

comprising compression combined with flexion, extension, lateral bending and torsion.<br />

SCAFFOLD<br />

SCAFFOLD<br />

Material<br />

Material<br />

design<br />

design<br />

domain<br />

domain<br />

Fig. 1 - Multiscale optimization model showing structure (scaffold) and material (unitcell)<br />

design domains for a Yucatan minipig lumbar spine FE model.

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