In-Silico Prediction of Mechanical Behaviour of Uniform Gyroid Scaffolds Affected by Its Design Parameters for Bone Tissue Engineering Applications
Due to their excellent properties, triply periodic minimal surfaces (TPMS) have been applied to design scaffolds for bone tissue engineering applications. Predicting the mechanical response of bone scaffolds in different loading conditions is vital to designing scaffolds. The optimal mechanical prop...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-09-01
|
Series: | Computation |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-3197/11/9/181 |
_version_ | 1797580719536472064 |
---|---|
author | Haja-Sherief N. Musthafa Jason Walker Talal Rahman Alvhild Bjørkum Kamal Mustafa Dhayalan Velauthapillai |
author_facet | Haja-Sherief N. Musthafa Jason Walker Talal Rahman Alvhild Bjørkum Kamal Mustafa Dhayalan Velauthapillai |
author_sort | Haja-Sherief N. Musthafa |
collection | DOAJ |
description | Due to their excellent properties, triply periodic minimal surfaces (TPMS) have been applied to design scaffolds for bone tissue engineering applications. Predicting the mechanical response of bone scaffolds in different loading conditions is vital to designing scaffolds. The optimal mechanical properties can be achieved by tuning their geometrical parameters to mimic the mechanical properties of natural bone. In this study, we designed gyroid scaffolds of different user-specific pore and strut sizes using a combined TPMS and signed distance field (SDF) method to obtain varying architecture and porosities. The designed scaffolds were converted to various meshes such as surface, volume, and finite element (FE) volume meshes to create FE models with different boundary and loading conditions. The designed scaffolds under compressive loading were numerically evaluated using a finite element method (FEM) to predict and compare effective elastic moduli. The effective elastic moduli range from 0.05 GPa to 1.93 GPa was predicted for scaffolds of different architectures comparable to human trabecular bone. The results assert that the optimal mechanical properties of the scaffolds can be achieved by tuning their design and morphological parameters to match the mechanical properties of human bone. |
first_indexed | 2024-03-10T22:53:53Z |
format | Article |
id | doaj.art-189f03b2806048678dd70cbc19ffc748 |
institution | Directory Open Access Journal |
issn | 2079-3197 |
language | English |
last_indexed | 2024-03-10T22:53:53Z |
publishDate | 2023-09-01 |
publisher | MDPI AG |
record_format | Article |
series | Computation |
spelling | doaj.art-189f03b2806048678dd70cbc19ffc7482023-11-19T10:07:13ZengMDPI AGComputation2079-31972023-09-0111918110.3390/computation11090181In-Silico Prediction of Mechanical Behaviour of Uniform Gyroid Scaffolds Affected by Its Design Parameters for Bone Tissue Engineering ApplicationsHaja-Sherief N. Musthafa0Jason Walker1Talal Rahman2Alvhild Bjørkum3Kamal Mustafa4Dhayalan Velauthapillai5Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, 5063 Bergen, NorwayCenter for Design and Manufacturing Excellence, The Ohio State University, Columbus, OH 43210, USADepartment of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, 5063 Bergen, NorwayDepartment of Safety, Chemistry and Biomedical Laboratory Sciences, Western Norway University of Applied Sciences, 5063 Bergen, NorwayCenter of Translational Oral Research (TOR), Department of Clinical Dentistry, University of Bergen, 5009 Bergen, NorwayDepartment of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, 5063 Bergen, NorwayDue to their excellent properties, triply periodic minimal surfaces (TPMS) have been applied to design scaffolds for bone tissue engineering applications. Predicting the mechanical response of bone scaffolds in different loading conditions is vital to designing scaffolds. The optimal mechanical properties can be achieved by tuning their geometrical parameters to mimic the mechanical properties of natural bone. In this study, we designed gyroid scaffolds of different user-specific pore and strut sizes using a combined TPMS and signed distance field (SDF) method to obtain varying architecture and porosities. The designed scaffolds were converted to various meshes such as surface, volume, and finite element (FE) volume meshes to create FE models with different boundary and loading conditions. The designed scaffolds under compressive loading were numerically evaluated using a finite element method (FEM) to predict and compare effective elastic moduli. The effective elastic moduli range from 0.05 GPa to 1.93 GPa was predicted for scaffolds of different architectures comparable to human trabecular bone. The results assert that the optimal mechanical properties of the scaffolds can be achieved by tuning their design and morphological parameters to match the mechanical properties of human bone.https://www.mdpi.com/2079-3197/11/9/181scaffold designtriply periodic minimal surfacegyroidsigned distance fieldmeshingfinite element volume mesh |
spellingShingle | Haja-Sherief N. Musthafa Jason Walker Talal Rahman Alvhild Bjørkum Kamal Mustafa Dhayalan Velauthapillai In-Silico Prediction of Mechanical Behaviour of Uniform Gyroid Scaffolds Affected by Its Design Parameters for Bone Tissue Engineering Applications Computation scaffold design triply periodic minimal surface gyroid signed distance field meshing finite element volume mesh |
title | In-Silico Prediction of Mechanical Behaviour of Uniform Gyroid Scaffolds Affected by Its Design Parameters for Bone Tissue Engineering Applications |
title_full | In-Silico Prediction of Mechanical Behaviour of Uniform Gyroid Scaffolds Affected by Its Design Parameters for Bone Tissue Engineering Applications |
title_fullStr | In-Silico Prediction of Mechanical Behaviour of Uniform Gyroid Scaffolds Affected by Its Design Parameters for Bone Tissue Engineering Applications |
title_full_unstemmed | In-Silico Prediction of Mechanical Behaviour of Uniform Gyroid Scaffolds Affected by Its Design Parameters for Bone Tissue Engineering Applications |
title_short | In-Silico Prediction of Mechanical Behaviour of Uniform Gyroid Scaffolds Affected by Its Design Parameters for Bone Tissue Engineering Applications |
title_sort | in silico prediction of mechanical behaviour of uniform gyroid scaffolds affected by its design parameters for bone tissue engineering applications |
topic | scaffold design triply periodic minimal surface gyroid signed distance field meshing finite element volume mesh |
url | https://www.mdpi.com/2079-3197/11/9/181 |
work_keys_str_mv | AT hajasheriefnmusthafa insilicopredictionofmechanicalbehaviourofuniformgyroidscaffoldsaffectedbyitsdesignparametersforbonetissueengineeringapplications AT jasonwalker insilicopredictionofmechanicalbehaviourofuniformgyroidscaffoldsaffectedbyitsdesignparametersforbonetissueengineeringapplications AT talalrahman insilicopredictionofmechanicalbehaviourofuniformgyroidscaffoldsaffectedbyitsdesignparametersforbonetissueengineeringapplications AT alvhildbjørkum insilicopredictionofmechanicalbehaviourofuniformgyroidscaffoldsaffectedbyitsdesignparametersforbonetissueengineeringapplications AT kamalmustafa insilicopredictionofmechanicalbehaviourofuniformgyroidscaffoldsaffectedbyitsdesignparametersforbonetissueengineeringapplications AT dhayalanvelauthapillai insilicopredictionofmechanicalbehaviourofuniformgyroidscaffoldsaffectedbyitsdesignparametersforbonetissueengineeringapplications |