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Proceedings Papers

Hybrid Neural Network for Modeling Automotive Clutches

V. Parvataneni, M. Cao, K. W. Wang, Y. Fujii, W. Tobler

Proc. ASME. IMECE99, Dynamic Systems and Control, 255-263, November 14–19, 1999

Paper No: IMECE1999-0034

DOI: https://doi.org/10.1115/IMECE1999-0034

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Topics: Artificial neural networks, Modeling, Torque, Dynamics (Mechanics), Feedback, Neural network models

Proceedings Papers

Application of Neural Network Friction Component Model in Automotive Drivetrain Simulations

M. Cao, K. W. Wang, Y. Fujii, W. E. Tobler

Proc. ASME. IMECE2001, Advanced Vehicle Technologies, 13-25, November 11–16, 2001

Paper No: IMECE2001/DE-23252

DOI: https://doi.org/10.1115/IMECE2001/DE-23252

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Topics: Artificial neural networks, Friction, Simulation

Proceedings Papers

Neural Network Based Automotive Clutch Model for Dynamic Engagement Analysis With Variable Time Steps

M. Cao, K. W. Wang, Y. Fujii, W. E. Tobler

Proc. ASME. IMECE2000, Advanced Vehicle Technologies, 141-153, November 5–10, 2000

Paper No: IMECE2000-1217

DOI: https://doi.org/10.1115/IMECE2000-1217

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Topics: Artificial neural networks, Algorithms, Design, Modeling, Physical laws, Testing, Torque, Vehicles

Proceedings Papers

Two Phase Flow Analysis for Secondary Side in Steam Generator

Y. Yagi, M. Murase, A. Nakamura, Y. Fujii

Proc. ASME. ICONE10, 10th International Conference on Nuclear Engineering, Volume 3, 105-113, April 14–18, 2002

Paper No: ICONE10-22099

DOI: https://doi.org/10.1115/ICONE10-22099

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Topics: Boilers, Two-phase flow

Proceedings Papers

Automotive Hydraulic Valve Fluid Field Estimator Based on Non-Dimensional Artificial Neural Network (NDANN)

M. Cao, K. W. Wang, L. DeVries, Y. Fujii, W. E. Tobler, G. M. Pietron, T. Tibbles, J. McCallum

Proc. ASME. IMECE2003, Design Engineering, Volumes 1 and 2, 65-80, November 15–21, 2003

Paper No: IMECE2003-42523

DOI: https://doi.org/10.1115/IMECE2003-42523

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Topics: Artificial neural networks, Fluids, Valves, Flow (Dynamics), Geometry, Computational fluid dynamics, Design, Control systems, Hydraulic control, Neural network models

Proceedings Papers

Parallel-Modulated Neural Network Friction Component Model for Automotive Powertrain Systems

M. Cao, K. W. Wang, Y. Fujii, W. E. Tobler

Proc. ASME. IMECE2003, Dynamic Systems and Control, Volumes 1 and 2, 303-318, November 15–21, 2003

Paper No: IMECE2003-41533

DOI: https://doi.org/10.1115/IMECE2003-41533

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Topics: Artificial neural networks, Friction, Pressure, Torque, Control equipment, Design, Modeling, Neural network models, Simulation

Proceedings Papers

Automatic Transmission Shift Calibration Based on Parallel-Modulated Neural Network (PMNN) Friction Component Model

M. Cao, K. W. Wang, Y. Fujii, W. E. Tobler

Proc. ASME. IMECE2004, Design Engineering, 681-699, November 13–19, 2004

Paper No: IMECE2004-59205

DOI: https://doi.org/10.1115/IMECE2004-59205

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Topics: Artificial neural networks, Calibration, Friction, Pressure, Torque, Control equipment, Design, Dynamics (Mechanics), Modeling, Optimization

Proceedings Papers

On Testing and Modeling Automotive Spool-Type Hydraulic Valve With Circular Flow Ports

M. Cao, K. W. Wang, L. DeVries, Y. Fujii, W. E. Tobler, G. M. Pietron

Proc. ASME. IMECE2004, Dynamic Systems and Control, Parts A and B, 147-161, November 13–19, 2004

Paper No: IMECE2004-59206

DOI: https://doi.org/10.1115/IMECE2004-59206

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Topics: Flow (Dynamics), Gates (Closures), Modeling, Testing, Valves, Fluids, Discharge coefficient, Design, Geometry, Lumped parameter models

Journal Articles

Experimental Characterization and Gray-Box Modeling of Spool-Type Automotive Variable-Force-Solenoid Valves With Circular Flow Ports and Notches

M. Cao, K. W. Wang, L. DeVries, Y. Fujii, W. E. Tobler, G. M. Pietron

J. Dyn. Sys., Meas., Control. September 2006, 128(3): 636–654.

DOI: https://doi.org/10.1115/1.2232687

Published Online: September 3, 2005

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Journal Articles

Steady State Hydraulic Valve Fluid Field Estimator Based on Non-Dimensional Artificial Neural Network (NDANN)

M. Cao, K. W. Wang, L. DeVries, Y. Fujii ,, W. E. Tobler ,, G. M. Pietron ,, T. Tibbles ,, J. McCallum

J. Comput. Inf. Sci. Eng. September 2004, 4(3): 257–270.

DOI: https://doi.org/10.1115/1.1765119

Published Online: September 7, 2004

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Topics: Artificial neural networks, Design, Flow (Dynamics), Fluids, Valves, Testing, Geometry

Journal Articles

Development of a Friction Component Model for Automotive Powertrain System Analysis and Shift Controller Design based on Parallel-Modulated Neural Networks

M. Cao, K. W. Wang, Y. Fujii, W. E. Tobler

J. Dyn. Sys., Meas., Control. September 2005, 127(3): 382–405.

DOI: https://doi.org/10.1115/1.1978909

Published Online: August 17, 2004

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Topics: Artificial neural networks, Friction, Pressure, Torque, Design, Control equipment

Journal Articles

A Hybrid Neural Network Approach for the Development of Friction Component Dynamic Model

M. Cao, K. W. Wang, Y. Fujii, W. E. Tobler

J. Dyn. Sys., Meas., Control. March 2004, 126(1): 144–153.

DOI: https://doi.org/10.1115/1.1649980

Published Online: April 12, 2004

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Topics: Artificial neural networks, Friction, Temperature, Torque, Pressure

Journal Articles

Frictional Drag Reduction by Injecting High-Viscosity Fluid Into Turbulent Boundary Layer

H. Kato, Y. Fujii, H. Yamaguchi, M. Miyanaga

J. Fluids Eng. June 1993, 115(2): 206–212.

DOI: https://doi.org/10.1115/1.2910125

Published Online: June 1, 1993

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Topics: Boundary layer turbulence, Drag reduction, Fluids, Viscosity, Shear stress, Turbulence, Boundary layers, Water, Drag (Fluid dynamics), Momentum

Journal Articles

The Efficiency of Gears in Consideration of Gear Size and Skewness of Gear Axes

Y. Fujii, S. Shimachi

J. Mech. Des. January 1978, 100(1): 85–91.

DOI: https://doi.org/10.1115/1.3453899

Published Online: January 1, 1978

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Topics: Gears, Dimensions, Gear teeth

Journal citation

NARROW

Hybrid Neural Network for Modeling Automotive Clutches

Application of Neural Network Friction Component Model in Automotive Drivetrain Simulations

Neural Network Based Automotive Clutch Model for Dynamic Engagement Analysis With Variable Time Steps

Two Phase Flow Analysis for Secondary Side in Steam Generator

Automotive Hydraulic Valve Fluid Field Estimator Based on Non-Dimensional Artificial Neural Network (NDANN)

Parallel-Modulated Neural Network Friction Component Model for Automotive Powertrain Systems

Automatic Transmission Shift Calibration Based on Parallel-Modulated Neural Network (PMNN) Friction Component Model

On Testing and Modeling Automotive Spool-Type Hydraulic Valve With Circular Flow Ports

Experimental Characterization and Gray-Box Modeling of Spool-Type Automotive Variable-Force-Solenoid Valves With Circular Flow Ports and Notches

Steady State Hydraulic Valve Fluid Field Estimator Based on Non-Dimensional Artificial Neural Network (NDANN)

Development of a Friction Component Model for Automotive Powertrain System Analysis and Shift Controller Design based on Parallel-Modulated Neural Networks

A Hybrid Neural Network Approach for the Development of Friction Component Dynamic Model

Frictional Drag Reduction by Injecting High-Viscosity Fluid Into Turbulent Boundary Layer

The Efficiency of Gears in Consideration of Gear Size and Skewness of Gear Axes

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