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Record W2991199296 · doi:10.1139/tcsme-2019-0149

Experimental investigation of plasma arc welded Ti–6Al–4V sheets

2019· article· en· W2991199296 on OpenAlexvenueno aff
Dhinakaran Veeman, N. Siva Shanmugam, T. Sathish, Vijay Petle, Gokulakrishnan Sriram

Bibliographic record

VenueTransactions of the Canadian Society for Mechanical Engineering · 2019
Typearticle
Languageen
FieldEngineering
TopicWelding Techniques and Residual Stresses
Canadian institutionsnot available
Fundersnot available
KeywordsMaterials scienceWeldingButt jointBase metalFormabilityIndentation hardnessMetallurgyComposite materialJoint (building)Heat-affected zoneUltimate tensile strengthPlasma arc weldingStructural engineeringMicrostructure

Abstract

fetched live from OpenAlex

In the present work, experimental trials were conducted with Ti–6Al–4V sheet. The influence of process parameters on the weld bead geometry of bead on joint welding and butt joint configuration was studied. It was concluded that at high current and low travel speed, the heat input was found to be maximum. This led to a higher linear heat input over the base metal that subsequently yielded a full depth of penetration. The strength and integrity of the welded butt joint configuration were ascertained by tensile and bend tests. The microhardness values of the fusion and heat-affected zones were concluded to be higher compared to the base metal. In addition, an Erichsen cupping test ensured that the formability of the welded specimen was comparable to that of the base metal.

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 score0.002
Threshold uncertainty score0.006

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 science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.197
Teacher spread0.187 · 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

Citations46
Published2019
Admission routes1
Has abstractyes

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Same venueTransactions of the Canadian Society for Mechanical EngineeringSame topicWelding Techniques and Residual StressesFrench-language works237,207