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

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.