Analysis of centrifugal clutches in two-speed automatic transmissions with multilayer perceptron neural network-based engagement prediction

Bo-Yi Lin and Kai Chun Lin

International Journal of Complexity in Applied Science and Technology, 2025, vol. 1, issue 4, 350-363

Abstract: Numerical analysis of centrifugal clutch systems integrated with a two-speed automatic transmission is shown in this paper. Various clutch configurations and their effects on the dynamics of the considered transmission have been examined. Based on these configurations, torque transfer, upshifting, and downshifting behaviours under various conditions are discussed. This paper presents a multilayer perceptron neural network (MLPNN) model for clutch engagements, whose parameters are spring preload and shoe mass. In this paper, a computationally efficient alternative to the complex simulations for the modelling is presented. MLPNN and numerical modelling further help in the critical insights required for improvement in the design parameters, performance, and efficiency of the clutch-transmission system.

Keywords: centrifugal clutch; automatic transmission; numerical modelling; multilayer perceptron neural network; MLPNN; vehicle dynamics. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=147074 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijcast:v:1:y:2025:i:4:p:350-363

Access Statistics for this article

More articles in International Journal of Complexity in Applied Science and Technology from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().