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Record W2495529707 · doi:10.1080/00084433.2016.1215049

Failure analysis and mechanical testing of Ti–6Al–4V modular revision hip stems

2016· article· en· W2495529707 on OpenAlexaff
P. L. Nayar, Éric Bohm, Martin J. Petrak, W. F. Caley, J. R. Cahoon

Bibliographic record

VenueCanadian Metallurgical Quarterly · 2016
Typearticle
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsUniversity of ManitobaDalhousie UniversityConcordia Hospital
Fundersnot available
KeywordsMaterials scienceFatigue limitUltimate tensile strengthFracture (geology)Residual stressFatigue testingStress (linguistics)ImplantTitanium alloyModular designAlloyComposite materialStructural engineeringSurgeryMedicineComputer scienceEngineering

Abstract

fetched live from OpenAlex

Analysis of five modular titanium hip revision stems that failed in vivo was undertaken. The average time to failure was 4.0 ± 0.6 years with a range from 3.0 years to 4.9 years. The average age of the patients was 68.4 ± 7.6 years with a range of 61–81 years and the average mass was 88.0 ± 10.3 kg with a range of 71.7–98.9 kg. All five stems failed through fatigue just inside the taper junction between the stem and body. Microscopic analysis failed to detect any evidence of significant corrosion at the junction. Metallurgical analysis found that the material properties for the femoral stems were in agreement with typical values for Ti–6Al–4V. Mechanical testing revealed that fatigue failure would occur only with loads above 5000 N. This is far above any repetitive load that any of these stems would have undergone in vivo. Finite element analysis simulating a ‘worst case’ scenario demonstrated that a maximum tensile stress of 350 MPa would occur near the location of fracture seen on the retrieved stems. This stress is well below the fatigue limit of the titanium alloy. The exact location of the fracture in the mechanically tested components was affected by the assembly technique. It is suggested that the assembly technique could add considerable residual stress to the femoral stems causing them to fail well below the theoretical fatigue limit. Consideration for further investigation includes residual stresses within the implant secondary to assembly technique, and other unexplored factors that may lead to early fatigue failure.

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.

How this classification was reachedexpand

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.938
Threshold uncertainty score0.833

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.232
Teacher spread0.216 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2016
Admission routes1
Has abstractyes

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