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Use of filler wire for laser welding of Ti–6Al–4V

2012· article· en· W2041756139 on OpenAlexaff
Abu Syed Humaun Kabir, X. Cao, Priti Wanjara, J. Cuddy, A. Birur, Mamoun Medraj

Bibliographic record

VenueCanadian Metallurgical Quarterly · 2012
Typearticle
Languageen
FieldEngineering
TopicWelding Techniques and Residual Stresses
Canadian institutionsNational Research Council CanadaConcordia University
Fundersnot available
KeywordsMaterials scienceWeldingHeat-affected zoneMetallurgyFiller metalLaser beam weldingComposite materialBase metalCorrosionLaserFiller (materials)PorosityMicrostructureArc weldingOptics

Abstract

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Owing to the high specific strength and excellent corrosion resistance, Ti–6Al–4V has been widely applied in aerospace industries. In this study, the welding performance of 3·2 and 5·1 mm thick Ti–6Al–4V sheets was studied using a 4 kW continuous wave Nd:YAG laser. It is found that the use of filler wire, matching the parent metal composition, can bridge the joint gap and produce full penetrated welds up to a width of 0·6 mm without cracking. The laser welds were characterised in terms of the bead geometry, defects, microstructures and hardness. With increasing joint gap, the percent porosity area increased, reaching just over 1% of the fusion zone area at a gap width of 0·6 mm for the 3·2 and 5·1 mm thick sheets. The maximum underfill depth in the Ti–6Al–4V laser welds was about 5% or 7% of the sheet thickness for the 3·2 and 5·2 mm thick materials, respectively, meeting the AWS D17-1 specification. The microindentation hardness was maximum in the fusion zone and sharply decreased through the heat affected zone until reaching the base metal value.En raison de sa résistance spécifique élevée et de son excellente résistance à la corrosion, le Ti–6Al–4V est largement utilisé dans l’industrie aérospatiale. Dans cette étude, on a étudié le rendement de soudage de tôles de Ti–6Al–4V de 3·2 et 5·1 mm d’épaisseur en utilisant un laser Nd:YAG de 4 kW à onde continue. On constate que l’utilisation de fil d'apport, correspondant à la composition du métal parent, peut combler l’espace du joint et produire des soudures à pénétration complète sans fissures jusqu'à une largeur de 0·6 mm. On a caractérisé les soudures au laser en termes de la géométrie des cordons, des défauts, des microstructures et de la dureté. Avec l’augmentation de l’espace du joint, le pourcentage de porosité augmentait, atteignant un peu plus de 1% de la superficie de la zone de dilution avec une largeur de joint de 0·6 mm pour les tôles de 3·2 et 5·1 mm d’épaisseur. La profondeur maximale du caniveau dans les soudures au laser de Ti–6Al–4V était respectivement d’environ 5% ou 7% de l’épaisseur de la tôle pour les matériaux de 3·2 et 5·2 mm d’épaisseur, satisfaisant ainsi la norme d’AWS D17-1. La dureté de la micro-indentation était maximale dans la zone de dilution tout en diminuant fortement dans la zone thermiquement affectée jusqu'à atteindre ultimement la valeur du métal de base.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.350
Threshold uncertainty score0.653

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 head0.032
GPT teacher head0.228
Teacher spread0.196 · 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 designNot applicable
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

Citations16
Published2012
Admission routes1
Has abstractyes

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