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Record W1999105730 · doi:10.1115/1.1531850

The Design of a Novel Pure-Rolling Transmission to Convert Rotational into Translational Motion

2003· article· en· W1999105730 on OpenAlexaffabout
M. A. Gonza ́lez-Palacios, Jorge Angeles

Bibliographic record

VenueJournal of Mechanical Design · 2003
Typearticle
Languageen
FieldEngineering
TopicMechanical Engineering and Vibrations Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsRotation around a fixed axisTranslational motionMotion (physics)Transmission (telecommunications)Computer scienceEngineeringMechanical engineeringPhysicsClassical mechanicsArtificial intelligenceElectrical engineering

Abstract

fetched live from OpenAlex

Contributed by the Mechanisms and Robotics Committee for publication in the JOURNAL OF MECHANICAL DESIGN. Manuscript received October 2000; revised March 2002. Associate Editor: S. K. Agrawal. Rack-and-pinion transmissions are broadly accepted means of power transmission between a rotating motor and a translating load. Their technology is well established within the framework of gearing 1. For decades, this transmission went unchallenged, that is, until the advent of highly accurate manufacturing processes that gave rise to more accurate, smoother, and more reliable alternatives, such as ball screws and linear actuators. In robotics and mechatronics applications, whereby motion is controlled using a piece of software, the conversion of motion from rotational to translational is usually done by alternative means. Of these alternatives, ball screws are gaining popularity, one of their drawbacks being the high number of moving parts that they comprise, for their functioning relies on a number of balls rolling on grooves machined on a shaft; one more drawback of ball screws is their low load-carrying capacity, stemming from the punctual form of contact by means of which loads are transmitted. Linear bearings solve these drawbacks to some extent, for they can be fabricated with roller bearings, their drawback being that these devices rely on a form of direct-drive motor, which makes them expensive to produce and to maintain. Hence the motivation behind the work reported here. Upon considering the foregoing alternatives to rack-and-pinions, along with their drawbacks, we decided to try to replace these transmissions with cam mechanisms. In the methodology that we adopted, only line contact is considered, for this methodology is based on the three-dimensional version of the Aronhold-Kennedy Theorem, as described extensively in 2. Furthermore, the cam mechanisms at the core of the transmissions under disclosure are of the translating roller-follower type. A unified methodology on the synthesis of cam mechanisms was introduced in the foregoing reference. This methodology was exploited extensively to develop the software package USyCaMs 3, which proved an invaluable tool in the design of the transmission reported in this paper. In USyCaMs we introduced a displacement program called cycloidal-modified, which can be varied smoothly from cycloidal to linear motion with the aid of a coefficient that changes from unity to zero. The results obtained with this function motivated us to investigate the possibility of transmitting a linear—in the algebraic sense—displacement program as needed in rack-and-pinions. This methodology has already led to the development of friction-and-backlash-free speed reducers with virtually unlimited stiffness, as reported in 4. The transmission reported in this paper, termed Slide-o-Cam, is currently under development at McGill University’s Centre for Intelligent Machines, within a research program aimed at highly accurate transmissions for robotics and mechatronics applications. In the context of this program, we envision applications of Slide-o-Cam as a drive for revolute joints using hydraulic pistons as actuators, for Slide-o-Cam is a reversible transmission. The transmission introduced here, Slide-o-Cam, has the morphology of an indexing cam mechanism (ICM), i.e., a cam mechanism whose follower bears a periodic geometry. The follower pattern repeats itself N times per turn of the cam, the ICM at hand thus being said to have Nstages or indexing steps. An ICM is designed so as to allow the production of a periodic, nonreversing speed of the follower when the cam rotates at a constant angular speed. While Slide-o-Cam stems from the concept of ICM, its distinguishing feature is the type of periodic speed produced on the follower, namely, a translational speed that is proportional to the cam speed. As a matter of fact, Slide-o-Cam is reversible, and hence, can be used to convert the translational motion of a motor, e.g., a hydraulic actuator, into the rotational motion of a load, e.g., a revolute joint. The procedure adopted to synthesize Slide-o-Cam is an instance of the unified methodology developed by the authors to synthesize ICM 2. In this vein, we are interested in the synthesis of mechanisms composed of four links, whereby the frame, the cam, the follower, and the roller are numbered from 1 to 4, in this order. Moreover, the cam is coupled to the frame via a revolute pair, while the follower is coupled to the same via a prismatic pair; the roller, in the most general case, is coupled to the follower via a cylindrical pair and to the cam via a higher pair, as depicted in Fig. 1. The contact surface between the cam and the roller is a ruled surface on the cam and a circular cylinder on the roller 2. In particular, when the direction of translation of the follower is at right angles with the axis of rotation of the cam, the coupling between roller and follower becomes a revolute pair. Most applications of rack-and-pinions call for a geometry of this kind, but rack-and-pinions with skew input and output axes are also available. The prototype of Slide-o-Cam that is currently under development and the focus of this paper is of the orthogonal, revolute-roller type. The cam surface of contact is determined by the position vector r defining a ruled surface, which is given by (1)rψ,λ=pψ+λeψwhere ψ and λ are the parameters of the ruled surface, p(ψ) is the position vector of the generatrix and e is a unit vector parallel to the line producing the surface. Furthermore, the geometric parameters defining the cam mechanism are illustrated in Fig. 1. The notation of this figure is based on the general notation introduced in 2: a1+a3= the distance between the cam axis of rotation and the trajectory of the center of the rollerα1= the angle between the input and output axes a4= the radius of the roller axis ψ= the angle of rotation of the cam z3= the displacement of the follower z43= the translational displacement of the roller with respect to the cam. The above parameters as well as the contact surface on the cam are determined by both the geometric relations dictated by the Aronhold-Kennedy Theorem in the plane 5 and the relation between the input and the output variables, ψ and z3, respectively. This methodology is applicable, moreover, to indexing mechanisms, which requires the specification of the number N of indexing steps per turn of the cam. In the case at hand, N is identical to the number of rollers that come into contact with the cam per cam turn. Furthermore, the input-output relation is given by (2)z3=π−ψNa3In the discussion below we will make reference to the layout displayed in Fig. 1, which shows a general planar cam mechanism with a translating roller-follower. In that figure, angle ψ is the input variable, the coordinate z3=z3ψ being the output variable, a prescribed linear function of ψ. Based on Eq. (1), the position vector defining the contact surface of the cam is given as a special case of the general synthesis equations derived in 2. If we substitute z3ψ as given by Eq. (2) in the above-mentioned synthesis equations, with α1=90deg, the position vector rc of the contact point, for a given value of ψ, becomes (3a)rc=k1 cos ψ+k2−a4cosψ−k3−k1 sin ψ−k2−a4sinψ−k3λwhere coefficients ki, for i=1,2,3, are defined as k1=−2πa3N sin α1,k2=k1ψ2+a1+a3−k12(3b)k3=arctank1ψk1−a1−a3and, to avoid undercutting, a3 should be bounded as 2(3c)a3

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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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0060.003

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 head0.047
GPT teacher head0.276
Teacher spread0.228 · 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".

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Citations18
Published2003
Admission routes2
Has abstractyes

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