Modeling of Dynamic Processes for Inertial Continuously Variable Transmissions

2017-01-1060

03/28/2017

Event
WCX™ 17: SAE World Congress Experience
Authors Abstract
Content
The inertial continuously variable transmissions are mechanical transmissions that are based on the principle of inertia. These transmissions have a lot of advantages. Usually, the design of the inertial continuously variable transmissions consists of inertia pulsed mechanism with unbalanced inertial elements and two overrunning clutches. Dynamics of the transmissions is described by systems of substantial nonlinear differential equations. In general, precise methods of solution for such equations do not exist. Therefore, in practice, approximate analytical and numerical methods must be employed. The main analytical methods employ successive approximation, a small parameter, or power series expansion. Each approach has its advantages and disadvantages. Therefore, we need to compare them in order to select the best method for dynamic study of such kind of transmissions. In this paper a comparative analysis of approximate methods of solving of differential equations for the inertial continuously variable transmissions is done. The object of the investigation is structural dynamics of the continuously variable automatic inertial mechanical transmissions. Approximate methods of solving the nonlinear differential equations of motion of inertial transmissions based on a pulsed mechanism are compared. These methods take account of the no uniform driveshaft rotation and the dynamic characteristics of the motor. Analysis of the solutions reveals the best method for dynamic study of the given transmissions. The comparative analysis showed that the best method of approximate solution is the method of a small parameter.
Meta TagsDetails
DOI
https://doi.org/10.4271/2017-01-1060
Pages
7
Citation
Aliukov, S., Keller, A., and Alyukov, A., "Modeling of Dynamic Processes for Inertial Continuously Variable Transmissions," SAE Technical Paper 2017-01-1060, 2017, https://doi.org/10.4271/2017-01-1060.
Additional Details
Publisher
Published
Mar 28, 2017
Product Code
2017-01-1060
Content Type
Technical Paper
Language
English