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Journal Articles

Online Parameter Estimation for Adaptive Feedforward Control of the Strip Thickness in a Hot Strip Rolling Mill

Katharina Prinz, Andreas Steinboeck, Martin Müller, Andreas Ettl, Florian Schausberger, Andreas Kugi

Publisher: ASME

J. Manuf. Sci. Eng. July 2019, 141(7): 071005.

Paper No: MANU-17-1726

https://doi.org/10.1115/1.4043575

Published Online: May 14, 2019

View Article titled, Online Parameter Estimation for Adaptive Feedforward Control of the Strip Thickness in a Hot Strip Rolling Mill

Topics: Control equipment, Feedforward control, Strips, Errors, Automated guided vehicles, Automatic gain control, Hot rolling

Journal Articles

Surrogate Model-Based Control Considering Uncertainties for Composite Fuselage Assembly

Xiaowei Yue, Yuchen Wen, Jeffrey H. Hunt, Jianjun Shi

Publisher: ASME

J. Manuf. Sci. Eng. April 2018, 140(4): 041017.

Paper No: MANU-17-1157

https://doi.org/10.1115/1.4038510

Published Online: February 15, 2018

View Article titled, Surrogate Model-Based Control Considering Uncertainties for Composite Fuselage Assembly

Topics: Actuators, Composite materials, Manufacturing, Modeling, Shapes, Uncertainty, Finite element analysis, Feedforward control, Design

Journal Articles

A Generalized Feed-Forward Dynamic Adaptive Mesh Refinement and Derefinement Finite-Element Framework for Metal Laser Sintering—Part II: Nonlinear Thermal Simulations and Validations

Deepankar Pal, Nachiket Patil, Khalid Haludeen Kutty, Kai Zeng, Alleyce Moreland, Adam Hicks, David Beeler, Brent Stucker

Publisher: ASME

J. Manuf. Sci. Eng. June 2016, 138(6): 061003.

Paper No: MANU-14-1041

https://doi.org/10.1115/1.4032078

Published Online: January 6, 2016

View Article titled, A Generalized Feed-Forward Dynamic Adaptive Mesh Refinement and Derefinement Finite-Element Framework for Metal Laser Sintering—Part II: Nonlinear Thermal Simulations and Validations

Topics: Lasers, Metals, Sintering, Boundary-value problems, Finite element analysis, Feedforward control, Geometry, Temperature

Journal Articles

Comprehensive Online Control Strategies for Plastic Injection Molding Process

Jaho Seo, Amir Khajepour, Jan P. Huissoon

Publisher: ASME

J. Manuf. Sci. Eng. August 2014, 136(4): 041009.

Paper No: MANU-13-1293

https://doi.org/10.1115/1.4027491

Published Online: May 21, 2014

View Article titled, Comprehensive Online Control Strategies for Plastic Injection Molding Process

Topics: Control equipment, Cycles, Dynamics (Mechanics), Finite element analysis, Flow (Dynamics), Injection molding, Modeling, Sensors, Temperature, Feedforward control

Journal Articles

Polymer Film Production: Modeling and Control of the Forward Draw

C. R. MacLaine, P. Acarnley, J. Shanahan, P. Mousalli, M. Deighton

Publisher: ASME

J. Manuf. Sci. Eng. February 2010, 132(1): 011004.

https://doi.org/10.1115/1.4000712

Published Online: December 28, 2009

View Article titled, Polymer Film Production: Modeling and Control of the Forward Draw

Topics: Rollers, Tension, Feedforward control

Journal Articles

Modelling, Identification and Control of Thermal Deformation of Machine Tool Structures, Part 5: Experimental Verification

S. Fraser, M. H. Attia, M. O. M. Osman

Publisher: ASME

J. Manuf. Sci. Eng. August 1999, 121(3): 517–523.

https://doi.org/10.1115/1.2832711

Published Online: August 1, 1999

View Article titled, Modelling, Identification and Control of Thermal Deformation of Machine Tool Structures, Part 5: Experimental Verification

Topics: Machine tools, Modeling, Thermal deformation, Control systems, Computer simulation, Deformation, Errors, Feedback, Stiffness, Thermoelasticity

Journal Articles

Neural Adaptive Control for Positioning Fabric on a Frictional Surface

S. M. Shenoy, C. D. Rahn

Publisher: ASME

J. Manuf. Sci. Eng. February 1999, 121(1): 127–133.

https://doi.org/10.1115/1.2830564

Published Online: February 1, 1999

View Article titled, Neural Adaptive Control for Positioning Fabric on a Frictional Surface

Topics: Adaptive control, Textiles, Friction, Control equipment, Feedforward control, Jigs and fixtures, Manufacturing, Position control, Robustness, Sensors

Journal Articles

High-Speed Scanning of Piezo-Probes for Nano-fabrication

D. Croft, D. McAllister, S. Devasia

Publisher: ASME

J. Manuf. Sci. Eng. August 1998, 120(3): 617–622.

https://doi.org/10.1115/1.2830166

Published Online: August 1, 1998

View Article titled, High-Speed Scanning of Piezo-Probes for Nano-fabrication

Topics: Nanofabrication, Probes, Vibration, Dynamics (Mechanics), Feedforward control

Journal Articles

On-Line Optimization of the Turning Process Using an Inverse Process Neurocontroller

R. Azouzi, M. Guillot

Publisher: ASME

J. Manuf. Sci. Eng. February 1998, 120(1): 101–108.

https://doi.org/10.1115/1.2830085

Published Online: February 1, 1998

View Article titled, On-Line Optimization of the Turning Process Using an Inverse Process Neurocontroller

Topics: Optimization, Turning, Artificial neural networks, Cutting, Dimensions, Engineering simulation, Feedback, Feedforward control, Finishes, Finishing

Journal Articles

High-Speed End Milling Using a Feedforward Control Architecture

E. D. Tung, M. Tomizuka, Y. Urushisaki

Publisher: ASME

J. Manuf. Sci. Eng. May 1996, 118(2): 178–187.

https://doi.org/10.1115/1.2831010

Published Online: May 1, 1996

View Article titled, High-Speed End Milling Using a Feedforward Control Architecture

Topics: Feedforward control, Milling, Control equipment, Errors, Aluminum, Computer numerical control machine tools, Control systems, Cutting, Frequency-domain analysis, Friction

Journal Articles

Improving Contouring Accuracy of NC/CNC Systems With Additional Velocity Feed Forward Loop

O. Masory

Publisher: ASME

J. Manuf. Sci. Eng. August 1986, 108(3): 227–230.

https://doi.org/10.1115/1.3187068

Published Online: August 1, 1986

View Article titled, Improving Contouring Accuracy of NC/CNC Systems With Additional Velocity Feed Forward Loop

Topics: Computer numerical control machine tools, Feedforward control, Errors, Control equipment, Machinery, Servo drives

Journal Articles

Control Methods for a Hot Steel Rolling Mill: An Application of Learning Theory and Pattern Recognition

A. A. Desrochers, G. N. Saridis

Publisher: ASME

J. Manuf. Sci. Eng. May 1980, 102(2): 118–122.

https://doi.org/10.1115/1.3183842

Published Online: May 1, 1980

View Article titled, Control Methods for a Hot Steel Rolling Mill: An Application of Learning Theory and Pattern Recognition

Topics: Pattern recognition, Rolling mills, Steel, Finishing, Control equipment, Feedback, Feedforward control, Force control, Gages, Strips

Journal citation

NARROW

Online Parameter Estimation for Adaptive Feedforward Control of the Strip Thickness in a Hot Strip Rolling Mill

Surrogate Model-Based Control Considering Uncertainties for Composite Fuselage Assembly

A Generalized Feed-Forward Dynamic Adaptive Mesh Refinement and Derefinement Finite-Element Framework for Metal Laser Sintering—Part II: Nonlinear Thermal Simulations and Validations

Comprehensive Online Control Strategies for Plastic Injection Molding Process

Polymer Film Production: Modeling and Control of the Forward Draw

Modelling, Identification and Control of Thermal Deformation of Machine Tool Structures, Part 5: Experimental Verification

Neural Adaptive Control for Positioning Fabric on a Frictional Surface

High-Speed Scanning of Piezo-Probes for Nano-fabrication

On-Line Optimization of the Turning Process Using an Inverse Process Neurocontroller

High-Speed End Milling Using a Feedforward Control Architecture

Improving Contouring Accuracy of NC/CNC Systems With Additional Velocity Feed Forward Loop

Control Methods for a Hot Steel Rolling Mill: An Application of Learning Theory and Pattern Recognition

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