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Flow drilling and flow tapping as a mean to improve the fatigue life of specimens representing plate-type orthopedic implants

2024· article· en· W4405662795 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

VenueEngineering Failure Analysis · 2024
Typearticle
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsPolytechnique Montréal
FundersCanada Excellence Research Chairs, Government of CanadaCanada Research Chairs
KeywordsTappingFlow (mathematics)DrillingOrthopedic surgeryMaterials scienceComposite materialEngineeringMechanical engineeringStructural engineeringBiomedical engineeringMetallurgyMathematicsMedicineSurgeryGeometry

Abstract

fetched live from OpenAlex

• Flow processing induce ultrafine grain structure and work hardening. • Crest folds are created by flow tapping. • The fatigue life of flow formed holes is shorter than its conventional counterpart. • Folds are preferential fatigue crack initiation sites. • Flow forming increase the amount of sigma phase and delta ferrite. This study investigates the impact of flow drilling and flow tapping on the microstructure, microhardness, and fatigue life of 316L stainless steel specimens, which are designed to simulate plate-type orthopedic implants. In this novel approach, threaded holes are created by combining both cutting and deformation techniques. Three methods are examined: cut drilling with cut tapping, flow drilling with cut tapping, and cut drilling with flow tapping. The resulting specimens are analyzed through microscopic observations, microhardness testing, and four-point bending fatigue tests, conducted in accordance with ASTM standards. The S-N curves and fractographic analyses reveal that cutting methods generally offer superior fatigue performance. At the lowest stress level, the average fatigue life of the flow tapped specimens is 4.10 5 cycles, whereas specimens with holes formed with cutting method exhibit an average fatigue life of 1.5x10 6 . Specifically, cut threads are free of discontinuities, whereas flow threads systematically had crest folds. These folds are sites for crack initiation that contributes to the reduction of fatigue lives. Furthermore, the presence of the sigma phase, related to flow drilling and flow tapping, contribute to material embrittlement, which adversely affects fatigue life. Although deformation methods did not yield encouraging results for the 316L specimens, the characteristics they impart, such as the formation of ultrafine grains, may prove beneficial for other materials and applications. This study is the first to evaluate the fatigue life of threaded holes produced through a combination of cutting and deforming manufacturing methods.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.244
Threshold uncertainty score0.679

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.250
Teacher spread0.239 · 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