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Record W4406240348 · doi:10.1016/j.mfglet.2024.12.001

A novel gap flushing insert for sink electrical discharge machining

2025· article· en· W4406240348 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueManufacturing Letters · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvanced Machining and Optimization Techniques
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsFlushingElectrical discharge machiningSink (geography)Insert (composites)Materials scienceMechanical engineeringMachiningBiomedical engineeringEnvironmental scienceEngineering drawingEngineeringComposite materialMedicine

Abstract

fetched live from OpenAlex

Gap flushing in sink electrical discharge machining (EDM) is generally accomplished by forcing the dielectric fluid through a hole in the tool (through-tool flushing) or by periodically retracting the tool from the machining gap (jump EDM). Through-tool flushing is limited by the stump left on the workpiece from the flushing hole, and jump EDM by the reduced productivity from when the tool is not engaged in machining. In this context, this paper presents an innovation that involves a rotating flushing hole assembly incorporated within a prismatic tool, which can be self-propelled by the dielectric flow. The novel design is shown to essentially eliminate the formation of the said stump, and to correspond to removal rates surpassing jump EDM.

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.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.860
Threshold uncertainty score0.857

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 head0.010
GPT teacher head0.240
Teacher spread0.230 · 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