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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 3.6.Cubic Splines 29 3.7.Optimization Scheme 3o 3.8.Interpolation Around the Blunt Point 39 CHAPTER 4. Machinability 42 4.1.Machinability 4-4.2.Fourier Analysis of the Curvature and Its Derivative 43 4.3.ParsevaTs Equality and the Loss of Circularity 46 4.4.Machinability and Effective Machinability 49 CHAPTER 5.The Pressure Angle and an Application of Speed-o-Cam ... 52 5.1.The Relationships Among r, //, and m Under Positive Action 53 5.2.The Pressure Angle for the Negative Action 54 5.3.An Application of Speed-o-Cam in Dual Epicyclic Transmissions ... 56

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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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.354
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 teacher head, not a consensus.

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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