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Record W3211308597 · doi:10.32920/ryerson.14656956.v1

Robust Schedules for Spot Welding Zinc-Coated Advanced High-Strength Automotive Steels

2021· preprint· en· W3211308597 on OpenAlexafffund
Gajendra Chandrakant Tawade

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicAdvanced Welding Techniques Analysis
Canadian institutionsToronto Metropolitan University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsWeldabilitySpot weldingWeldingMaterials scienceMetallurgyScheduleComputer science

Abstract

fetched live from OpenAlex

<p>Spot welding is the prominent joining process for assembling steels in vehicles. Spot weldability is measured in terms of weld lobes. A wider (robust) lobe represents better weldability. Unfortunately, recently developed advanced high-strength steels (AHSS) exhibit poor spot weldability (narrow weld lobes) with conventional weld schedules. The present work is thus aimed to develop a robust spot welding schedule for selected AHSS combinations.</p> <p>Weld lobes were plotted with upsloping pulse, single pulse and multiple pulse weld schedules. Nugget growth study for zinc coated Dual Phase (DP) 600 was conducted. Fast nugget growth in DP600 steels was controlled by interrupting the heat input during a weld pulse. An enhanced weld schedule consisting of two pulses with reduced current on the second pulse was designed. It was found that the first pulse removed zinc and the second pulse controlled the nugget growth. The enhanced weld schedule showed a considerable increase in the lobe width over the conventional weld schedule for DP600 steels.</p>

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.496
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.022
GPT teacher head0.254
Teacher spread0.232 · 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.

Study designSimulation or modeling
Domainnot available
GenreMethods

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

Citations1
Published2021
Admission routes2
Has abstractyes

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