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Record W6998990288

Cam-profile optimization by means of undercutting in cam-roller speed reducers

2003· dissertation· en· W6998990288 on OpenAlexfundaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2003
Typedissertation
Languageen
FieldEngineering
TopicMechanical Engineering and Vibrations Research
Canadian institutionsnot available
FundersMcGill University
KeywordsMachinabilityCurvatureKinematicsFlexibility (engineering)Point (geometry)Focus (optics)Position (finance)Spline (mechanical)Robot
DOInot available

Abstract

fetched live from OpenAlex

Speed-o-Cam, a family of speed-reduction mechanisms based on cams and pure-rolling contact, is currently under development at McGill University's Centre for Intelligent Machines.This family is intended to replace gears and harmonic drives in applications where backlash, friction, and flexibility cannot be tolerated.In this thesis, we focus on the internal and external planar Speed-o-Cam with both positive and negative actions.We introduce 2-4-6 and 2-4-6-8 polynomials to modify the cam profile around both the cusp and the blunt point of the profile to improve the cam dynamic and kinematic performance.In a third approach, we resort to a cubic spline to solve the same problem.We pay special attention to the curvature of the cam, especially in connection with its machinability.To this end, we resort to Fourier analysis and, thus, propose the concept of loss of geometric regularity, which measures curvature changes.Then, we propose one more concept, the effective machinability of a cam.Both machinability and effective machinability vary from 0% to 100%.We also study the pressure-angle distribution and derive the relationships between the pressure angle and the parameters of the cam.A method to decrease the pressure angle under negative action is introduced.Moreover, an application of Speed-o-Cam to the design of the driving units of wheeled mobile robots is reported in the thesis.n RESUME RESUME Speed-o-cam est une famille de reducteurs de vitesse bases sur les couples camesroulement, en train d'etre mise au point au Centre de recherche sur les machines intelligentes a TUniversite McGill.Cette famille vise a remplacer les systemes a engrenages dans les applications ou le jeu et le frottement, ainsi que la fiexibilite ne sont pas toleres.Dans ce memoire, nous nous sommes concentres sur les reducteurs Speed-o-Cam du type planaire, interne et externe.Nous avons utilise des polynomes du type 2-4-6 et 2-4-6-8 pour modifier le profil des cames afin d'ameliorer leurs performances au point de vue dynamique et cinematique.Nous avons fait aussi appel aux fonctions splines cubiques pour resoudre le meme probleme.En nous concentrant specialement sur la courbure de la came, specialement dans en ce qui a trait a son usinabilite, nous avons introduit le concept de perte de regularite geometrique, qui mesure le changement de courbure.Nous proposons alors un autre concept, Vusinabilite effective de la came.L'usinabilite et l'usinabilite effective varient entre 0% et 100%.Nous etudions egalement la distribution de Tangle de pression, tout en obtenant une relation entre cet angle et les parametres de la came lors d'un functionnement du mecanisme en action dite negative.Un methode permettant de dimininuer la valeur de Tangle de pression dans ces conditions est egalement.Enfin, nous proposons une application des reducteurs Speed-o-Cam comme element de transmission de l'unite de traction d'un robot a roues. in LIST OF TABLES 3.1 An example of the variation of the pressure angle 18 3.2 Condition number with different number of supporting points .34 3.3 The numerical results of the optimization problem 38 xi

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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)0.000
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.240
Teacher spread0.226 · 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
Published2003
Admission routes2
Has abstractyes

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