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Record W6990719751

Effect of microstructure and thread rolling on hydrogen embrittlement susceptibility in high strength steel fasteners

2023· dissertation· en· W6990719751 on OpenAlexafffund

Bibliographic record

VenueeScholarship@McGill (McGill) · 2023
Typedissertation
Languageen
FieldMaterials Science
TopicHydrogen embrittlement and corrosion behaviors in metals
Canadian institutionsMcGill University
FundersMitacs
KeywordsMicrostructureHigh strength steelHydrogen embrittlementThread (computing)EmbrittlementUltimate tensile strengthAcicular ferrite
DOInot available

Abstract

fetched live from OpenAlex

High strength steel fasteners are susceptible to hydrogen embrittlement and can fail unexpectedly while in service.Hydrogen embrittlement is the result of a susceptible material exposed to hydrogen while subjected to tensile stresses.Preventing hydrogen embrittlement failures is critical in high and ultrahigh strength fasteners.Advancements in ultrahigh strength fastener technology targeting strength levels above 1400 MPa have led to development of bainitic microstructure for externally threaded fasteners.Lower bainite exhibits higher ductility and toughness than tempered martensite at equal strength.Susceptibility of a material to hydrogen embrittlement is directly related to the material condition, described by its strength, chemical composition, and microstructure.This research aims to compare the effect on susceptibility to hydrogen embrittlement of microstructures comprising tempered martensite and lower bainite.The effect of rolling threads before and after heat treatment on hydrogen embrittlement susceptibility is also examined.The experimental method used for this investigation is incremental step load (ISL) testing, in 4-point bending, with and without addition of hydrogen by cathodic charging.The methodology is designed to determine the hydrogen embrittlement threshold stress.Although at strength levels above 1200 MPa, both microstructures were very susceptible to hydrogen embrittlement, bainite exhibited marginally lower susceptibility than martensite.On the other hand, when the threads were rolled after heat treatment, resulting in significantly higher dislocation density by plastic deformation, results indicated significantly lower susceptibility, independent of the microstructure and hardness.This finding points to utilizing dislocations introduced by cold rolled threads as the most promising approach for minimizing hydrogen embrittlement susceptibility in ultrahigh strength steel fasteners. RÉSUMÉLes pièces de fixation en acier à haute résistance sont susceptibles à la fragilisation par l'hydrogène (FPH) et peuvent briser en opération de façon inattendue.Le mécanisme de la fragilisation par l'hydrogène est le résultat combiné de l'utilisation d'un matériau susceptible à la FPH exposé à l'hydrogène lorsqu'il est soumis à une contrainte en traction.La susceptibilité à la fragilisation par l'hydrogène est directement liée à l'état du matériau, c'est-à-dire ses propriétés mécaniques, à sa composition chimique et à sa microstructure.Cette recherche vise à comparer les effets de deux microstructures différentes sur la susceptibilité des pièces de fixation en acier à la fragilisation par l'hydrogène, c'est-à-dire la martensite revenue et la bainite inférieure.Cette recherche se penchera également sur l'effet des filets écrouis avant et après le durcissement par traitement thermique.La principale méthode utilisée pour cette étude est l'application de force en flexion par paliers.Cette méthode d'essai consiste de chargement en flexion à quatre points, avec et sans ajout de l'hydrogène par voie cathodique, pour mesurer le seuil de la fragilisation par l'hydrogène.Cette étude démontre que lorsque les filets sont écrouis avant le traitement thermique, la bainite inférieure offre une résistance à la FPH légèrement supérieure à -1.0 V de chargement cathodique.Lorsque les filets sont écrouis après le traitement thermique, la résistance à la FPH est supérieure en comparaison avec les pièces qui sont écrouies avant le traitement thermique, peu importe la microstructure ou les propriétés mécaniques.Les résultats démontrent aussi que les deux microstructures, à des niveaux de résistance supérieurs à 1200 MPa, sont très susceptibles à la FPH.Par ailleurs, pour les deux microstructures, l'écrouissage des filets après le traitement thermique réduit la susceptibilité à la FPH.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.012
GPT teacher head0.264
Teacher spread0.252 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations0
Published2023
Admission routes2
Has abstractyes

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