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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 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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.056
Threshold uncertainty score0.188

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0560.015

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; 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 designSimulation or modeling
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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