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Record W2745036668 · doi:10.1139/tcsme-2012-0019

DIMENSIONAL INSPECTION OF TRANSLATING CAMS BY CNC COORDINATE MEASURING MACHINE

2012· article· en· W2745036668 on OpenAlexvenueno aff
Jung-Fa Hsieh

Bibliographic record

VenueTransactions of the Canadian Society for Mechanical Engineering · 2012
Typearticle
Languageen
FieldEngineering
TopicAdvanced Measurement and Metrology Techniques
Canadian institutionsnot available
FundersNational Science Council
KeywordsFrame (networking)Coordinate-measuring machineCoordinate systemKinematicsComputer sciencePoint (geometry)Transformation (genetics)Expression (computer science)Ideal (ethics)CurvatureSurface (topology)Engineering drawingPrincipal curvatureTransformation matrixSimple (philosophy)AlgorithmComputer visionMathematicsMechanical engineeringEngineeringGeometryPhysicsMean curvature

Abstract

fetched live from OpenAlex

In this paper, a simple and analytical method is proposed for accomplishing the inspection procedure. In the proposed approach, a kinematic model of the cam profile is derived using homogenous coordinate transformation theory. The normal vectors and principal curvature of the designed translating cam are then derived from the analytical expression for the cam profile. Based on the coordinates and normal vector of each specified point on the cam profile, the NC data required to move the CMM inspection probe to the surface of the cam are then obtained. A least-square fitting method is proposed to minimize the inspection error caused by a misalignment of the actual evaluation frame relative to the ideal frame.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.014
GPT teacher head0.201
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

Citations1
Published2012
Admission routes1
Has abstractyes

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Same venueTransactions of the Canadian Society for Mechanical EngineeringSame topicAdvanced Measurement and Metrology TechniquesFrench-language works237,207