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Record W6949438478 · doi:10.5281/zenodo.15081355

Convex Surface Milling Mechanism

2025· article· en· W6949438478 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvanced Numerical Analysis Techniques
Canadian institutionsTransAlta (Canada)
Fundersnot available
KeywordsMachiningMechanism (biology)Process (computing)Surface (topology)Reciprocating motionConnecting rodDrillingUndercutSlider

Abstract

fetched live from OpenAlex

Abstract: Milling is one of the most important machining processes in manufacturing. This process is used to shape solid materials especially metals. It is mostly used in shaping flat and irregular surfaces. It can be used for drilling, cutting gears, boring and producing slots. Milling a curved surface falls under the umbrella of profile/ contour CNC milling. It involves machining irregularly shaped profiles or continuous curves with various degrees (slanted, concave, or convex). This is a crucial process in getting most of the uniquely shaped bespoke parts done, which requires the CNC machining services providers to have advanced knowledge of the fundamental machining principles and programs. The Curved Surface milling machine, a project which demonstrates the set up for milling a flat surface to curved surface without CNC. The Drilling machine is stationary. A flat platform is provided upon which the material can be placed. The platform is set upon two inclined rods which is mounted on slider that allows the platform to move back & forth but in a curved way according to its arrangement. The reciprocating motion of the platform is done manually with the help of a lead screw mechanism

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.979
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.002

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 head0.015
GPT teacher head0.235
Teacher spread0.220 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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