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Journal ArticleDOI

Analysis of a cycloid speed reducer

TLDR
In this article, a procedure to calculate the forces on various elements of the speed reducer as well as the theoretical efficiency is presented, and the effects of design parameters on forces and contact stresses are studied.
About
This article is published in Mechanism and Machine Theory.The article was published on 1983-01-01. It has received 88 citations till now. The article focuses on the topics: Reducer.

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Book ChapterDOI

Theoretical and experimental verification of one stage cycloidal gearbox efficiency

TL;DR: In this article, the authors presented a theoretical efficiency calculation of a one stage cycloidal gearbox and its experimental verification on the testing bench, and compared the results from theoretical calculations with experimental results.
Journal ArticleDOI

Force Analysis of Double Pitch Point Cycloid Drive with Intermediate Rolling Elements and Free Retainer

TL;DR: In this paper, the influence of various combinations of initial parameters on the wedge angle and retainer force was studied and presented on diagrams, which can be used for further development of better designs of cycloid drives.
Journal ArticleDOI

Mathematical model of planetary roller-tooth reduction gears

TL;DR: In this article, a mathematical model of an ideal planetary pin reduction gear is used to calculate at the planning stage how the dynamic transmission parameters are affected by meshing rigidity along the satellite profile, by deformation of the satellite under applied forces, by the presence and the nonuniformity of gaps in the meshing, and by manufacturing tolerances in the transmission.
Book ChapterDOI

High Power Density Speed Reducers: A TRIZ Based Classification of Mechanical Solutions

TL;DR: In this article, a conceptual map of problems and solutions concerning High Power Density Speed Reducers (HPDSRs) was created, and the existing designs of HPDSRs are explored and classified through the Problem Solution Network (PSN), i.e. a method based on the TRIZ base of knowledge that considers different levels of abstraction.
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