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Record W7057209164

Impact of Vibratory Peening on The Surface Integrity of Cemented Steel E16NCD13

2021· other· fr· W7057209164 on OpenAlexaboutno aff

Bibliographic record

VenuePolyPublie (École Polytechnique de Montréal) · 2021
Typeother
Languagefr
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsSurface grindingLimitingSurface finishing
DOInot available

Abstract

fetched live from OpenAlex

RÉSUMÉ: Le grenaillage vibratoire est un procédé alternatif qui vise à remplacer les procédés de grenail- lage conventionnel et finition vibratoire. Il produit des contraintes résiduelles de compression comparables à celles obtenues par grenaillage coventionnel, mais avec un meilleur fini de surface, ce qui est censé améliorer la résistance à la fatigue de la pièce traitée. On pense également qu'elle améliore la productivité industrielle en combinant les étapes de grenaillage conventionnel et de finition vibratoire en un seul procédé. Bien qu'il existe des études sur ce procédé, aucun travail fondamental et physique présentant l'amélioration des propriétés générées n'a été présenté. Cette étude fait partie d'un projet visant à démontrer les effets bénéfiques des technolo- gies avancées de traitement de surface sur certains matériaux aérospatiaux qui était une collaboration entre Polytechnique Montréal, Safran Tech France et le Centre aérospatial et technologique de Longueuil (CTA). Ce travail a porté sur le calibration de la machine de grenaillage vibratoire et l'identification des limites de ses paramètres. Il comprend également l'étude de l'effet du grenaillage vibratoire sur les propriétés d'intégrité de surface de l'acier cémenté E16NCD13 en termes de rugosité de surface, de contraintes résiduelles de compres- sion et de microdureté. Les modifications de l'intégrité de surface produites par le grenaillage vibratoire ont été comparées au grenaillage coventionnel à des intensités Almen similaires. La revue de la littérature a montré que l'intensité Almen, le temps de traitement, l'amplitude, la fréquence, le poids des billes et la position de la pièce, etc. sont les paramètres clés du procédé de grenaillage vibratoire. La première partie de cette étude a présenté la relation entre les paramètres de la machine, tels que : le poids des billes, les masses excentriques, la fréquence, la pression, la hauteur des billes au-dessus de la pièce, la position de la pièce et le taux de lubrification avec l'amplitude de vibration de la machine et l'intensité Almen à l'aide de techniques de plans d'expériences. Les résultats ont montré que l'amplitude de vibration de la machine est principalement contrôlée par les masses excentriques sur les ar- bres rotatifs, la fréquence de rotation des arbres rotatifs, la hauteur des billes au-dessus de la pièce, et l'intensité Almen est principalement influencée par les les masses excentriques. Les résultats de plans d'expériences ont montré que la machine de grenaillage vibratoire est capable de générer des intensités Almen comprises entre 0.047 et 0.2 mmA. ABSTRACT: Vibratory peening is an alternative process that aims to replace the shot peening and the vibratory finishing processes. It produces compressive residual stresses comparable to those obtained by shot peening but with much better surface finish, which is believed to enhance the fatigue life of the treated part. It is also believed to improve the industrial productiv- ity by combining the shot peening and the vibratory finishing steps into one single process. Athough there are available studies on this process, no fundamental and physical works pre- senting the generated properties improvement were presented. This study is part of a project that aims to demonstrate the beneficial effects of advanced surface treatment technologies on some aerospace materials which was a collaboration be- tween Polytechnique Montréal, Safran Tech France and Aerospace and Technology Center Longueuil (CTA). This work focused on calibrating the vibratory peening machine and iden- tifying its operation parameters limits. It involves also the study of the effect of vibratory peening on the surface integrity properties of the cemented steel E16NCD13 in terms of surface roughness, compressive residual stresses and microhardness. The surface integrity modifications produced by vibratory peening were compared to shot peening at similar Al- men intensities. The literature review showed that the Almen intensity, the processing time, the amplitude, the frequency, the media mass and the part position, etc. are the key parameters of the vibratory peening process. The first part of this study presented the relationship of the operation parameters, such as: media mass, eccentric weights, frequency, pressure, media height above the part, part position and lubrication rate with the amplitude of the vibratory peening machine and Almen intensity through design of experiments (DOE) techniques. The results showed that the vibration amplitude of the machine is mainly controlled by the eccen- tric weights on the rotating shafts, the rotational frequency of the rotating shafts, the media height above the part, and the Almen intensity is mainly influenced by the eccentric weights. The DOE results showed that the vibratory peening machine is able to generate Almen in- tensities ranged between 0.047 and 0.2 mmA. The second part presented the characterization of the surface integrity of the cemented steel E16NCD13 after vibratory peening in terms of surface roughness, compressive residual stresses and microhardness. They were measured and evaluated after treatment under three different intensities (0.1, 0.15 and 0.2 mmA) and different process conditions.

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)0.001
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 score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.018
GPT teacher head0.268
Teacher spread0.251 · 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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