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Record W2068878448 · doi:10.1115/detc2008-49440

Time Optimal CAM Synthesis for Spring Driven CAMS

2008· article· en· W2068878448 on OpenAlexafffund
Konrad Duerr, Rudolf Seethaler

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMechanical Engineering and Vibrations Research
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsJerkCrankSpring (device)Motion (physics)Rotation (mathematics)Control theory (sociology)Computer sciencePressure angleConstant (computer programming)TrajectoryRadius of curvatureEnergy (signal processing)Linear motionCurvatureMechanical engineeringAccelerationEngineeringMathematicsPhysicsClassical mechanicsArtificial intelligenceGeometryMean curvature

Abstract

fetched live from OpenAlex

In recent years, engine researchers have been trying to replace traditional cam shafts with systems that provide valve timing independent of crank motion. Such systems must be fast, quiet and energy efficient. One solution is a spring driven cam that performs a rocking motion between two stable endpoints rather than a continuous rotation. Since the cam motion is not at constant speed, traditional methods for synthesizing the cam profile cannot be applied directly. This paper illustrates a methodology for synthesizing a time optimal cam profile for a spring driven cam that is bound by simultaneous constraints of contact force, contact stress, radius of curvature, jerk, and pressure angle.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.707
Threshold uncertainty score0.370

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 head0.020
GPT teacher head0.228
Teacher spread0.208 · 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.

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

Citations4
Published2008
Admission routes2
Has abstractyes

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