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Journal Articles

A Physics-Informed Two-Level Machine-Learning Model for Predicting Melt-Pool Size in Laser Powder Bed Fusion

Yong Ren, Qian Wang, Panagiotis (Pan) Michaleris

J. Dyn. Sys., Meas., Control. December 2021, 143(12): 121006.

Paper No: DS-20-1489

DOI: https://doi.org/10.1115/1.4052245

Published Online: September 15, 2021

View Article titled, A Physics-Informed Two-Level Machine-Learning Model for Predicting Melt-Pool Size in Laser Powder Bed Fusion

Topics: Finite element analysis, Lasers, Machine learning, Temperature, Testing, Simulation, Physics, Modeling

Journal Articles

A Hybrid Contact Model With Experimental Validation

Qian Liu, Jing Cheng, Delun Li, Qingqing Wei

J. Dyn. Sys., Meas., Control. September 2021, 143(9): 094501.

Paper No: DS-19-1410

DOI: https://doi.org/10.1115/1.4050586

Published Online: April 15, 2021

View Article titled, A Hybrid Contact Model With Experimental Validation

Topics: Contact dynamics, Errors, Physics, Simulation, Simulation results, Artificial neural networks

Journal Articles

On Using a Low-Density Flash Lidar for Road Vehicle Tracking

Vimal Kumar A. R., Shankar C. Subramanian, Rajesh Rajamani

J. Dyn. Sys., Meas., Control. August 2021, 143(8): 081002.

Paper No: DS-20-1295

DOI: https://doi.org/10.1115/1.4050255

Published Online: March 19, 2021

View Article titled, On Using a Low-Density Flash Lidar for Road Vehicle Tracking

Topics: Algorithms, Density, Engineering simulation, Motor vehicles, Sensors, Simulation, Vehicles, Simulation results, Ambiguity, Physics

Journal Articles

Control-Oriented Modeling of Lithium-Ion Batteries

Brody J. C. Riemann, Jie Li, Kasim Adewuyi, Robert G. Landers, Jonghyun Park

J. Dyn. Sys., Meas., Control. February 2021, 143(2): 021002.

Paper No: DS-19-1565

DOI: https://doi.org/10.1115/1.4048355

Published Online: October 1, 2020

View Article titled, Control-Oriented Modeling of Lithium-Ion Batteries

Topics: Batteries, Capacitance, Circuits, Diffusion (Physics), Electrochemical impedance spectroscopy, Frequency response, Lithium-ion batteries, Modeling, Particulate matter, Physics

Journal Articles

Physics-Based Lumped-Parameter Modeling of Automotive Canister Fuel Purge

Matthew Franchek, Behrouz Ebrahimi, Karolos Grigoriadis, Imad Makki

J. Dyn. Sys., Meas., Control. July 2016, 138(7): 071008.

Paper No: DS-15-1181

DOI: https://doi.org/10.1115/1.4033486

Published Online: May 13, 2016

View Article titled, Physics-Based Lumped-Parameter Modeling of Automotive Canister Fuel Purge

Topics: Flow (Dynamics), Fuel storage, Fuels, Intake manifolds, Modeling, Physics, Pressure, Capacitance

Journal Articles

Physics-Based Model of a Valve-Regulated Lead-Acid Battery and an Equivalent Circuit

Zheng Shen, Christopher D. Rahn

J. Dyn. Sys., Meas., Control. July 2013, 135(4): 041011.

Paper No: DS-12-1143

DOI: https://doi.org/10.1115/1.4023765

Published Online: May 16, 2013

View Article titled, Physics-Based Model of a Valve-Regulated Lead-Acid Battery and an Equivalent Circuit

Topics: Batteries, Circuits, Electrodes, Physics, Electrolytes, Lead-acid batteries, Valves, Simulation

Journal Articles

Physics-Based Modeling and Control of Residual-Affected HCCI Engines

Gregory M. Shaver, J. Christian Gerdes, Matthew J. Roelle

J. Dyn. Sys., Meas., Control. March 2009, 131(2): 021002.

DOI: https://doi.org/10.1115/1.3023125

Published Online: February 4, 2009

View Article titled, Physics-Based Modeling and Control of Residual-Affected HCCI Engines

Topics: Combustion, Control equipment, Cycles, Cylinders, Exhaust systems, Homogeneous charge compression ignition engines, Pressure, Valves, Compression, Physics

Journal Articles

Servocontrol of the GS16 Turbine Gas Metering Valve by Physics-Based Robust Controller Synthesis

Kamran E. Shahroudi, Peter M. Young

J. Dyn. Sys., Meas., Control. September 2008, 130(5): 051008.

DOI: https://doi.org/10.1115/1.2957630

Published Online: August 4, 2008

View Article titled, Servocontrol of the GS16 Turbine Gas Metering Valve by Physics-Based Robust Controller Synthesis

Topics: Control equipment, Design, Physics, Valves, Turbines

Journal Articles

Stochastic Modeling of Fatigue Crack Damage for Risk Analysis and Remaining Life Prediction

Asok Ray

J. Dyn. Sys., Meas., Control. September 1999, 121(3): 386–393.

DOI: https://doi.org/10.1115/1.2802486

Published Online: September 1, 1999

View Article titled, Stochastic Modeling of Fatigue Crack Damage for Risk Analysis and Remaining Life Prediction

Topics: Damage, Fatigue cracks, Modeling, Risk analysis, Aircraft, Algorithms, Aluminum alloys, Differential equations, Fracture (Materials), Fracture mechanics

Journal Articles

Fool’s Paradise: The Wedding Dance of Physics and Control

Henry M. Paynter

J. Dyn. Sys., Meas., Control. June 1993, 115(2B): 239–241.

DOI: https://doi.org/10.1115/1.2899063

Published Online: June 1, 1993

View Article titled, Fool’s Paradise: The Wedding Dance of Physics and Control

Topics: Physics, Signals

Journal Articles

Modeling and Identification of a Class of Servomechanism Systems With Stick-Slip Friction

Ka C. Cheok, Hongxing Hu, Nan K. Loh

J. Dyn. Sys., Meas., Control. September 1988, 110(3): 324–328.

DOI: https://doi.org/10.1115/1.3152689

Published Online: September 1, 1988

View Article titled, Modeling and Identification of a Class of Servomechanism Systems With Stick-Slip Friction

Topics: Friction, Modeling, Servomechanisms, Stick-slip, Algorithms, Optimization, Physics, Servomotors, Signals, Simulation

Journal Articles

Modularity and Causality in Physical System Modelling

N. Hogan

J. Dyn. Sys., Meas., Control. December 1987, 109(4): 384–391.

DOI: https://doi.org/10.1115/1.3143871

Published Online: December 1, 1987

View Article titled, Modularity and Causality in Physical System Modelling

Topics: Differential equations, Junctions, Machinery, Modeling, Physics

Journal Articles

Rail Passenger Vehicle Lateral Dynamic Performance Improvement Through Active Control

P. K. Sinha, D. N. Wormley, J. K. Hedrick

J. Dyn. Sys., Meas., Control. December 1978, 100(4): 270–283.

DOI: https://doi.org/10.1115/1.3426378

Published Online: December 1, 1978

View Article titled, Rail Passenger Vehicle Lateral Dynamic Performance Improvement Through Active Control

Topics: Rails, Vehicles, Control equipment, Rail vehicles, Curve negotiation, Errors, Dynamics (Mechanics), Electromagnetic spectrum, Physics, Trucks

Journal citation

NARROW

A Physics-Informed Two-Level Machine-Learning Model for Predicting Melt-Pool Size in Laser Powder Bed Fusion

A Hybrid Contact Model With Experimental Validation

On Using a Low-Density Flash Lidar for Road Vehicle Tracking

Control-Oriented Modeling of Lithium-Ion Batteries

Physics-Based Lumped-Parameter Modeling of Automotive Canister Fuel Purge

Physics-Based Model of a Valve-Regulated Lead-Acid Battery and an Equivalent Circuit

Physics-Based Modeling and Control of Residual-Affected HCCI Engines

Servocontrol of the GS16 Turbine Gas Metering Valve by Physics-Based Robust Controller Synthesis

Stochastic Modeling of Fatigue Crack Damage for Risk Analysis and Remaining Life Prediction

Fool’s Paradise: The Wedding Dance of Physics and Control

Modeling and Identification of a Class of Servomechanism Systems With Stick-Slip Friction

Modularity and Causality in Physical System Modelling

Rail Passenger Vehicle Lateral Dynamic Performance Improvement Through Active Control

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