Parameter-based RNN micro-interface inversion model for wet friction components morphology
The interface morphology significantly impact the service life of wet clutches friction components in heavy tracked vehicle transmission systems.This paper designs a sliding test and utilizes a recurrent neural network (RNN) model to construct the three-dimensional morphology of the wet clutch friction interface under specific operating conditions.