A mathematical model for the large deflection dynamics of a compliant beam device is presented. The device simulates the motion of a slider-crank device. The system contains a highly flexible beam that provides the compliant motion from a sliding mass at one end to a rotating hinge point at the other end. Basic models for friction and beam dissipation effects are included. A nonlinear integro-partial differential equation is derived for the complete beam/mass system in the curved space of the deformed beam. The resulting equation is cast into a generalized nondimensional form suitable for studying system behavior for a broad range of system sizes. The dynamic equation is solved in curved space by applying a spatial solution that closely represents the large static deflection measured for the beam. The nonlinear system dynamics are simulated for an initial large deflection of the system and compared to experimental results for an actual physical system.
Skip Nav Destination
Article navigation
June 2001
Technical Briefs
Mathematical Model for Large Deflection Dynamics of a Compliant Beam Device
Michael J. Panza, Mem. ASME, Professor,
Michael J. Panza, Mem. ASME, Professor,
Mechanical Engineering, Gannon University, Erie, PA 16541
Search for other works by this author on:
Michael J. Panza, Mem. ASME, Professor,
Mechanical Engineering, Gannon University, Erie, PA 16541
Contributed by the Dynamic Systems and Control Division of THE AMERICAN SOCIETY OF MECHANICAL ENGINEERS. Manuscript received by the Dynamics Systems and Control Division September 29, 1999. Associate Editor. E. Fahrenthold.
J. Dyn. Sys., Meas., Control. Jun 2001, 123(2): 283-288 (6 pages)
Published Online: September 29, 1999
Article history
Received:
September 29, 1999
Citation
Panza , M. J. (September 29, 1999). "Mathematical Model for Large Deflection Dynamics of a Compliant Beam Device ." ASME. J. Dyn. Sys., Meas., Control. June 2001; 123(2): 283–288. https://doi.org/10.1115/1.1367266
Download citation file:
Get Email Alerts
Cited By
Regret Analysis of Shrinking Horizon Model Predictive Control
J. Dyn. Sys., Meas., Control (March 2025)
Control-Oriented Modeling of a Solid Oxide Fuel Cell Affected by Redox Cycling Using a Novel Deep Learning Approach
J. Dyn. Sys., Meas., Control (March 2025)
Robust Control of Exo-Abs, a Wearable Platform for Ubiquitous Respiratory Assistance
J. Dyn. Sys., Meas., Control (March 2025)
Resilient Self-Triggered Model Predictive Control of Cyber-Physical Systems Under Two-Channel False Data Injection Attacks
J. Dyn. Sys., Meas., Control (March 2025)
Related Articles
Polynomial Interpolated Taylor Series Method for Parameter Identification of Nonlinear Dynamic System
J. Comput. Nonlinear Dynam (July,2006)
Dynamics of
Evolutionary Equations. Applied Math Sciences, Vol.
143
Appl. Mech. Rev (September,2002)
Single Degree of Freedom Model for Thermoelastic Damping
J. Appl. Mech (May,2007)
An Efficient Analytical Method Based on Averaging and Memory-Free Principle for Variable Fractional Oscillators
J. Appl. Mech (December,2022)
Related Proceedings Papers
Related Chapters
Introduction to Analysis Tools
Dynamics of Particles and Rigid Bodies: A Self-Learning Approach
Cellular Automata: In-Depth Overview
Intelligent Engineering Systems through Artificial Neural Networks, Volume 20
Engineering Design about Electro-Hydraulic Intelligent Control System of Multi Axle Vehicle Suspension
International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011)