Dynamic behavior of a single screw plasticating extruder part II: Dynamic modeling

1986 ◽  
Vol 26 (2) ◽  
pp. 152-161 ◽  
Author(s):  
D. Chan ◽  
R. W. Nelson ◽  
L. James Lee
Keyword(s):  
Dynamic Behavior ◽  
Dynamic Modeling ◽  
Single Screw

Dynamic behavior of a single screw plasticating extruder part I: Experimental study

1986 ◽  
Vol 26 (2) ◽  
pp. 144-151 ◽  
Author(s):  
R. W. Nelson ◽  
D. Chan ◽  
B. Yang ◽  
L. James Lee
Keyword(s):  
Experimental Study ◽  
Dynamic Behavior ◽  
Single Screw

Dynamic Modeling of a Piezo-Driven Compliant Mechanism Using Modal Analysis

2009 ◽  
Author(s):  
Ali Akbar Darki ◽  
Hassan Zohoor ◽  
Ali Reza Shahidi ◽  
Hamed Sanikhani
Keyword(s):  
Dynamic Behavior ◽  
Dynamic Modeling ◽  
Compliant Mechanisms ◽  
Compliant Mechanism ◽  
Mass Matrix ◽  
Functional Method ◽  
Reference Frequency ◽  
Similar Response ◽  
Algorithm Optimization ◽  
Fem Model

Dynamic modeling of piezo-driven compliant mechanisms is necessary to predict dynamic behavior of nanopositioning systems, and also to optimize their controlling methods. Dynamic tests on a real system or dynamic analyses on a FEM model is very time consuming when they must be carried out iteratively. According to previous works, obtaining static specifications of model is possible within a reasonable error margin. But all geometric dimensions and mass distribution details of the whole moving parts should be considered to calculate dynamic specifications of the model. In this paper, a functional method is described to obtain dynamic specifications of an planar compliant mechanism, by means of a reference Frequency Response Function (FRF) diagram. On the other hand, an equivalent analytical FRF is derived from the Mass-Spring model. A Genetic Algorithm optimization process is performed on the mass matrix for matching of the two FRF diagrams. Results show that a diagonal 3-by-3 mass matrix can nearly follow dynamic behavior of FEM model. It also is verified that results from the optimized dynamic model and the FEM model will have similar response to step excitation.

DYNAMIC MODELING OF ROTOR SHAFT WITH INTERNAL DAMPING DRIVEN THROUGH A DISSIPATIVE COUPLING

2011 ◽  
Vol 02 (01) ◽  
pp. 105-129 ◽  
Author(s):  
V. RASTOGI ◽  
A. MUKHERJEE ◽  
A. DASGUPTA
Keyword(s):  
Dynamic Behavior ◽  
Dynamic Modeling ◽  
System Modeling ◽  
Bond Graph ◽  
Internal Damping ◽  
Interesting Phenomenon ◽  
Limiting Behavior ◽  
Rotor Shaft ◽  
Simulation Results

The paper presents the dynamic behavior of a hollow rotor shaft with internal damping driven by a dissipative coupling. The coupling in the system is absolutely flexible in transverse and bending; however, it is assumed to be torsionally rigid. Bond graph is adopted for modeling as it facilitates the system modeling from the physical paradigm itself, and the model can be easily extended to incorporate modifications. Simulation results show interesting phenomenon of limiting behavior of rotor shaft with internal damping beyond the threshold speed of instability. It is further shown that the shaft entrainment frequency of the rotor shaft primarily depends on the ratio of external and internal damping.

An overview of dynamic modeling of rolling-element bearings

2020 ◽  
pp. 095745652094827
Author(s):  
Surajkumar G Kumbhar ◽  
Edwin Sudhagar P ◽  
RG Desavale
Keyword(s):  
Dynamic Behavior ◽  
Dynamic Modeling ◽  
Operating Conditions ◽  
Rolling Element Bearing ◽  
Rolling Element Bearings ◽  
Roller Bearings ◽  
Rolling Element ◽  
Vibration Responses ◽  
Vibration Signature ◽  
Element Bearing

The marvelous uniqueness of vibration responses of faulty roller bearings can be simply observed through its vibration signature. Therefore, vibration analysis has been claimed as an effective tool not only for primitive detection but also for subsequent analysis. The dynamic behavior of roller bearings has been investigated by systematic modeling of system and its validation under diverse operating conditions. This article presents an overview of imperative marks in the development of dynamic modeling of rolling-element bearing, which especially predicted vibration responses of damaged bearings. This study aims to address dimensional analysis; a new and imperative way to model the dynamic behavior of rolling-element bearings and their real-time performance in a rotor-bearing system. The findings are described with influential advantages over earlier research to pinpoint the intention behind its development. A literature summary is trailed by remarkable findings and future directions for research.

Development of Parameters for Dynamic Modeling of Underground Haulage Vehicles

2016 ◽  
Author(s):  
Christopher C. Jobes ◽  
Peter Bissert ◽  
Nina Mahmoudian ◽  
Bingxi Li
Keyword(s):  
Dynamic Model ◽  
Dynamic Behavior ◽  
Statistical Methods ◽  
Dynamic Modeling ◽  
Underground Mining ◽  
Detection Systems ◽  
Proximity Detection ◽  
Roof Bolter ◽  
Haul Truck ◽  
Shuttle Car

To address concerns of how mobile proximity detection systems will adapt to underground mobile haulage vehicles, researchers have collected and categorized data on the parameters of 145 mine haulage vehicles in 5 categories including load-haul-dump, shuttle car, roof bolter, haul truck, and mobile coal haulage (face drill, production drill, and others.) Statistical methods were used to determine the appropriate representative vehicle for each category. These representative vehicles’ parameters and characteristics could then be used to develop a dynamic model that predicts their dynamic behavior on an underground haulageway surface. These models can be used in conjunction with worker escapability data and/or interaction with other vehicles to provide insight as to whether or not the proximity detection systems will be adequate for the underground mining workplace.

Dynamic Modeling and Wear-Based Remaining Useful Life Prediction of High Power Clutch Systems

2005 ◽  
Vol 48 (2) ◽  
pp. 208-217 ◽  
Author(s):  
Matthew Watson ◽  
Carl Byington ◽  
Douglas Edwards ◽  
Sanket Amin
Keyword(s):  
Dynamic Modeling ◽  
High Power ◽  
Life Prediction ◽  
Remaining Useful Life ◽  
Useful Life

Hierarchical Bayesian continuous time dynamic modeling.

2018 ◽  
Vol 23 (4) ◽  
pp. 774-799 ◽  
Author(s):  
Charles C. Driver ◽  
Manuel C. Voelkle
Keyword(s):  
Dynamic Modeling ◽  
Continuous Time ◽  
Hierarchical Bayesian ◽  
Time Dynamic

Malar Augmentation With Self-drilling Single-Screw Fixation

2000 ◽  
Vol 2 (3) ◽  
pp. 222-225 ◽  
Author(s):  
Neal D. Goldman ◽  
Ramsey Alsarraf ◽  
Gary Nishioka ◽  
Wayne F. Larrabee
Keyword(s):  
Screw Fixation ◽  
Single Screw
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