Evidence map›Paper›PMID 41002814›Full record

ArticleBiomimetics (Basel, Switzerland)2025

Mechanical Characterization of 3D-Printed Scaffolds: A Multi-Objective Optimization Approach Using Virtual Testing and Homogenization.

Pablo I León, Uwe Muhlich, Pedro C Aravena, Gabriela Martínez

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

4 authors.

Pablo I LeónPrograma de Magister en Ingeniería Mecánica y Materiales, Facultad de Ciencias de la Ingeniería, Universidad Austral de Chile, Valdivia 5090000, Chile.
Uwe MuhlichInstituto de Obras Civiles, Facultad de Ciencias de la Ingeniería, Universidad Austral de Chile, Valdivia 5090000, Chile.ORCID 0000-0003-4097-4160
Pedro C AravenaEscuela de Odontología, Facultad de Medicina, Universidad Austral de Chile, Valdivia 5090000, Chile.ORCID 0000-0003-1230-4573
Gabriela MartínezInstituto de Ingeniería Mecánica, Facultad de Ciencias de la Ingeniería, Universidad Austral de Chile, Valdivia 5090000, Chile.ORCID 0000-0003-0515-9400

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A method to characterize the mechanical properties of cellular materials manufactured using 3D printing, specifically employing the fused deposition modeling (FDM) technique, is developed. Numerical simulations, virtual testing, and optimization based on genetic algorithms are combined in this approach to determine the anisotropic properties of the material, which are essential for biomedical applications such as tissue engineering. Homogenization using representative unit cells enabled the calculation of orthotropic properties, including elastic moduli (E1, E2, E3), Poisson's ratios (ν12, ν13 and ν23), and shear moduli (G12, G13, G23). These results validated the virtual tests using an L-shaped beam model, based on a known state of displacements and stresses. In the virtual test of the FDM model, a significant correlation with experimental results was observed, confirming the material's anisotropy and its influence on deformations and stresses. Meanwhile, the effective medium test demonstrated over 95% agreement between simulated and experimental values, validating the accuracy of the proposed constitutive model. The optimization process, based on multi-objective genetic algorithms, allowed the determination of the material's mechanical properties through controlled iterations, achieving a strong correlation with the results obtained from the homogenization model. These findings present a new approach for characterizing and optimizing 3D-printed materials using FDM techniques, providing an efficient and reliable method for applications in tissue engineering.

Indexed as

3D-printed scaffoldshomogenizationmechanical propertiesmulti-objective optimizationtissue engineeringvirtual testing

Identifiers

PMID41002814
PMCPMC12467746

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.