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Dynamic models of axially moving systems: A review
by
Pham, Phuong-Tung
, Hong, Keum-Shik
in
Approximation
/ Automotive Engineering
/ Bifurcations
/ Classical Mechanics
/ Control
/ Divergence
/ Dynamic models
/ Dynamical Systems
/ Engineering
/ Flexible components
/ Flutter
/ Layered materials
/ Mechanical Engineering
/ Ordinary differential equations
/ Partial differential equations
/ Review
/ Vibration
/ Vibration control
2020
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Dynamic models of axially moving systems: A review
by
Pham, Phuong-Tung
, Hong, Keum-Shik
in
Approximation
/ Automotive Engineering
/ Bifurcations
/ Classical Mechanics
/ Control
/ Divergence
/ Dynamic models
/ Dynamical Systems
/ Engineering
/ Flexible components
/ Flutter
/ Layered materials
/ Mechanical Engineering
/ Ordinary differential equations
/ Partial differential equations
/ Review
/ Vibration
/ Vibration control
2020
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Do you wish to request the book?
Dynamic models of axially moving systems: A review
by
Pham, Phuong-Tung
, Hong, Keum-Shik
in
Approximation
/ Automotive Engineering
/ Bifurcations
/ Classical Mechanics
/ Control
/ Divergence
/ Dynamic models
/ Dynamical Systems
/ Engineering
/ Flexible components
/ Flutter
/ Layered materials
/ Mechanical Engineering
/ Ordinary differential equations
/ Partial differential equations
/ Review
/ Vibration
/ Vibration control
2020
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Journal Article
Dynamic models of axially moving systems: A review
2020
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Overview
In this paper, a detailed review on the dynamics of axially moving systems is presented. Over the past 60 years, vibration control of axially moving systems has attracted considerable attention owing to the board applications including continuous material processing, roll-to-roll systems, flexible electronics, etc. Depending on the system’s flexibility and geometric parameters, axially moving systems can be categorized into four models: String, beam, belt, and plate models. We first derive a total of 33 partial differential equation (PDE) models for axially moving systems appearing in various fields. The methods to approximate the PDEs to ordinary differential equations (ODEs) are discussed; then, approximated ODE models are summarized. Also, the techniques (analytical, numerical) to solve both the PDE and ODE models are presented. The dynamic analyses including the divergence and flutter instabilities, bifurcation, and chaos are outlined. Lastly, future research directions to enhance the technologies in this field are also proposed. Considering that a continuous manufacturing process of composite and layered materials is more demanding recently, this paper will provide a guideline to select a proper mathematical model and to analyze the dynamics of the process in advance.
Publisher
Springer Netherlands,Springer Nature B.V
Subject
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