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A Hybrid Neural Network Approach for the Development of Friction Component Dynamic Model
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this research, a new hybrid neural network is developed to model engagement behaviors of automotive transmission wet friction component. Utilizing known first principles on the physics of ...
Development of a Friction Component Model for Automotive Powertrain System Analysis and Shift Controller Design based on Parallel-Modulated Neural Networks
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this study, a new hybrid-neural-network-based friction component model is developed for powertrain (PT) dynamic analysis and controller design. This new model, with significantly improved ...
Experimental Characterization and Gray-Box Modeling of Spool-Type Automotive Variable-Force-Solenoid Valves With Circular Flow Ports and Notches
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In automatic transmission design, electronic control techniques have been adopted through proportional variable-force-solenoid valves, which typically consist of spool-type valves (, 2000, SAE Technical ...
Thermal Stress Analysis/Life Prediction of Concentrating Photovoltaic Module
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Aiming at understanding the structural integrity of two representative concentrating photovoltaic (CPV) module configurations, finite element thermal stress analysis is carried out in this investigation. ...
Steady State Hydraulic Valve Fluid Field Estimator Based on Non-Dimensional Artificial Neural Network (NDANN)
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: An automatic transmission (AT) hydraulic control system includes many spool-type valves that have highly asymmetric flow geometry. A simplified flow field model based on a lumped geometry is ...