Evidence map›Paper›PMID 37888161›Full record

ArticleJournal of functional biomaterials2023

The Porosity Design and Deformation Behavior Analysis of Additively Manufactured Bone Scaffolds through Finite Element Modelling and Mechanical Property Investigations.

Shummaila Rasheed, Waqas Akbar Lughmani, Muhammad Mahabat Khan, Dermot Brabazon, Muhannad Ahmed Obeidi, Inam Ul Ahad

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Article in Journal of functional biomaterials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Shummaila RasheedDepartment of Mechanical Engineering, Capital University of Science and Technology, Islamabad 44000, Pakistan.ORCID 0000-0003-4381-7435
Waqas Akbar LughmaniFaculty of Mechanical Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi 23460, Pakistan.
Muhammad Mahabat KhanDepartment of Mechanical Engineering, Capital University of Science and Technology, Islamabad 44000, Pakistan.ORCID 0000-0001-7974-4472
Dermot BrabazonI-Form, The SFI Research Centre for Advanced Manufacturing, School of Mechanical and Manufacturing Engineering, Dublin City University, 09 Dublin, Ireland.ORCID 0000-0003-3214-6381
Muhannad Ahmed ObeidiI-Form, The SFI Research Centre for Advanced Manufacturing, School of Mechanical and Manufacturing Engineering, Dublin City University, 09 Dublin, Ireland.
Inam Ul AhadI-Form, The SFI Research Centre for Advanced Manufacturing, School of Mechanical and Manufacturing Engineering, Dublin City University, 09 Dublin, Ireland.ORCID 0000-0002-3802-6156

Funding

Science Foundation Ireland 16/RC/3872 and 18/EPSRC-CDT/3584
6 · The paper itself

Abstract

Additively manufactured synthetic bone scaffolds have emerged as promising candidates for the replacement and regeneration of damaged and diseased bones. By employing optimal pore architecture, including pore morphology, sizes, and porosities, 3D-printed scaffolds can closely mimic the mechanical properties of natural bone and withstand external loads. This study aims to investigate the deformation pattern exhibited by polymeric bone scaffolds fabricated using the PolyJet (PJ) 3D printing technique. Cubic and hexagonal closed-packed uniform scaffolds with porosities of 30%, 50%, and 70% are utilized in finite element (FE) models. The crushable foam plasticity model is employed to analyze the scaffolds' mechanical response under quasi-static compression. Experimental validation of the FE results demonstrates a favorable agreement, with an average percentage error of 12.27% ± 7.1%. Moreover, the yield strength and elastic modulus of the scaffolds are evaluated and compared, revealing notable differences between cubic and hexagonal closed-packed designs. The 30%, 50%, and 70% porous cubic pore-shaped bone scaffolds exhibit significantly higher yield strengths of 46.89%, 58.29%, and 66.09%, respectively, compared to the hexagonal closed-packed bone scaffolds at percentage strains of 5%, 6%, and 7%. Similarly, the elastic modulus of the 30%, 50%, and 70% porous cubic pore-shaped bone scaffolds is 42.68%, 59.70%, and 58.18% higher, respectively, than the hexagonal closed-packed bone scaffolds at the same percentage strain levels. Furthermore, it is observed in comparison with our previous study the μSLA-printed bone scaffolds demonstrate 1.5 times higher elastic moduli and yield strengths compared to the PJ-printed bone scaffolds.

Indexed as

3D printingcrushable foam plasticity modeldeformation patternfinite element methodmechanical responsepolymeric bone scaffolds

Identifiers

PMID37888161
PMCPMC10607099

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.