MétaCan
Menu
Back to cohort
Record W4407356966 · doi:10.1016/j.bea.2025.100148

Mechanical and microstructural properties of additively manufactured porous titanium alloy constructs for orthopaedic and maxillofacial reconstruction

2025· article· en· W4407356966 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBiomedical Engineering Advances · 2025
Typearticle
Languageen
FieldEngineering
TopicAdditive Manufacturing Materials and Processes
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of CanadaSchulich School of Medicine and Dentistry, Western University
KeywordsMaterials scienceAlloyTitanium alloyPorosityTitaniumMetallurgyOrthodonticsComposite materialMedicine

Abstract

fetched live from OpenAlex

Porous intraosseous implants, fabricated from titanium alloy by selective laser melting (SLM), promote osseointegration and decrease stress shielding. Nevertheless, the application of such constructs in surgery has been restricted due to issues with their structural and mechanical properties. In addition, the flexural properties of porous constructs are not well known. Hence, this research aimed to investigate the mechanical and microstructural properties of porous constructs made from Ti6Al4V alloy for applications such as mandibular reconstruction. Computer models were created of dumbbell-shaped and square prism constructs with cubic pore structures. Five strut thicknesses between 250 and 650 µm with a constant 1 mm unit cell size were created, which gave rise to pores of sizes between 350 and 750 µm. Nonporous models were used as controls. Constructs were fabricated from these models using selective laser melting. Computed tomography was used to investigate internal defects and surface roughness. Internal defects made up < 1.0 % of the total volume. Loose and partially melted particles caused a rough surface on the struts, with arithmetic mean height ranging between 2.0 and 9.5 µm. Finite element analysis (FEA) was performed to simulate tensile and flexural loadings and predict locations of mechanical weakness. Static tensile and three-point bend tests were performed on SLM-built constructs using an Instron screw-type testing machine. The FEA models incorporated mechanical properties of Ti6Al4V, which were sourced from the stress-strain curves from tensile tests on nonporous constructs produced via selective laser melting. There was close agreement between the FEA simulations and the actual tensile and flexural strengths and moduli of the constructs (deviations < 11 %). The results of real-life mechanical tests and FEA tests demonstrated that the modulus and strength values are strongly correlated with strut thickness (R 2 >0.95). Porous Ti6Al4V constructs with strut thicknesses ranging between 350 and 450 µm were found to have modulus and strength values that matched those of the mandible. This study demonstrated that FEA models can accurately predict the mechanical behaviour of SLM-built porous constructs. This will permit the rapid design of patient-specific porous devices that facilitate bone alignment, vascularization, tissue ingrowth, and skeletal function.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.325
Threshold uncertainty score0.687

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.193
Teacher spread0.188 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it