Influence of Nonideaities on the Performance of a Self-Balancing Rotor System

2005 ◽  
Author(s):  
Roland Horvath ◽  
George T. Flowers ◽  
Jerry Fausz
Keyword(s):  
Experimental Investigation ◽  
Dynamic Behavior ◽  
Experimental Validation ◽  
Research Study ◽  
The Self ◽  
Functional Capability ◽  
Analytical Simulation ◽  
Simulation Results ◽  
Automatic Balancing ◽  
The Ideal

An analytical, numerical and experimental investigation of the dynamic behavior of a four degree of freedom passive balancing system using pendulum balancers is presented. This work is an extension of previous studies which considered such automatic balancing systems and devices. It has previously been demonstrated analytically that a 4-DOF pendulum self-balancing system is capable, under idealized conditions, of exact radial balancing [10]. However, imperfections in the fabrication and assembly of such a system tend to compromise a number of the ideal modeling assumptions that were used to provide this result. The present research study examines the effects of a variety of such imperfections and their influence on the functional capability of the self-balancing system. Both analytical/simulation results and experimental validation are provided and discussed.

Cutting Fluid Mist Formation in Turning via Atomization: Part 2—Experimental Validation

2000 ◽  
Author(s):  
Y. Yue ◽  
K. L. Gunter ◽  
D. J. Michalek ◽  
J. W. Sutherland
Keyword(s):  
Dynamic Behavior ◽  
Mass Concentration ◽  
Experimental Validation ◽  
Theoretical Models ◽  
Cutting Fluid ◽  
Formation Mechanisms ◽  
Turning Process ◽  
Model Predictions ◽  
Simulation Results ◽  
Mist Formation

Abstract In Part 1 of this paper, models were developed to describe the formation mechanisms and dynamic behavior of cutting fluid mist. This part of the paper focuses on experimentally investigating mist formation during the turning process, and then simulating the dynamic behavior of the mist droplets, including the distribution and the mass concentration. Simulation results are compared to experimental measurements to validate the theoretical models presented in Part 1. It is seen that the model predictions adequately characterize the observed experimental behavior.

Character and Behavior of Mist Generated by Application of Cutting Fluid to a Rotating Cylindrical Workpiece, Part 2: Experimental Validation

2004 ◽  
Vol 126 (3) ◽  
pp. 426-434 ◽  
Author(s):  
J. Sun ◽  
C. Ju ◽  
Y. Yue ◽  
K. L. Gunter ◽  
D. J. Michalek ◽  
...  
Keyword(s):  
Dynamic Behavior ◽  
Mass Concentration ◽  
Experimental Validation ◽  
Droplet Size Distribution ◽  
Cutting Fluid ◽  
Formation Mechanisms ◽  
Model Predictions ◽  
Cylindrical Workpiece ◽  
Simulation Results ◽  
And Behavior

In Part 1 of this paper a model was developed to describe the formation mechanisms and dynamic behavior of cutting fluid mist. This part of the paper focuses on an experimental investigation of the mist generated by the interaction of the fluid with the rotating cylindrical workpiece during a turning operation and the simulation of the dynamic behavior of the mist droplets, resulting in the prediction of the droplet size distribution and the mass concentration within the machining environment. These simulation results are compared to experimental measurements in order to validate the theoretical model presented in Part 1 of the paper. It is observed that the model predictions accurately characterize the observed experimental behavior.

The ideal self is me: Deconstructing the self-evaluation process

2011 ◽  
Author(s):  
Corey L. Guenther ◽  
Kathryn Applegate ◽  
Steven Svoboda ◽  
Emily Adams
Keyword(s):  
Evaluation Process ◽  
The Self ◽  
Ideal Self ◽  
Self Evaluation ◽  
The Ideal

NEUROTIC SYMPTOMATICS RELATED TO PERSONAL CHARACTERISTICS IN YOUTH

2019 ◽  
pp. 2014-2019
Author(s):  
Milen Dimov
Keyword(s):  
Personal Characteristics ◽  
The Self ◽  
The Other ◽  
Social Responsiveness ◽  
Training Process ◽  
Self Assessment ◽  
School Year ◽  
Real Behavior ◽  
Low Levels ◽  
The Ideal

The present study traces the dynamics of personal characteristics in youth and the manifested neurotic symptoms in the training process. These facts are the reason for the low levels of school results in the context of the existing theoretical statements of the problem and the empirical research conducted among the trained teenagers. We suggest that the indicators of neurotic symptomatology in youth – aggression, anxiety, and neuroticism, are the most demonstrated, compared to the other studied indicators of neurotic symptomatology. Studies have proved that there is a difference in the act of neurotic symptoms when tested in different situations, both in terms of expression and content. At the beginning of the school year, neurotic symptoms, more demonstrated in some aspects of aggressiveness, while at the end of school year, psychotism is more demonstrated. The presented summarized results indicate that at the beginning of the school year, neurotic symptoms are strongly associated with aggression. There is a tendency towards a lower level of social responsiveness, both in the self-assessment of real behavior and in the ideal “I”-image of students in the last year of their studies. The neurotic symptomatology, more demonstrated due to specific conditions in the life of young people and in relation to the characteristics of age.

scholarly journals An Intelligent Evaluation Method to Analyze the Competitiveness of Airlines

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Jun Zhao ◽  
Xumei Chen
Keyword(s):  
Neural Network ◽  
Prior Knowledge ◽  
Evaluation Method ◽  
Standard Sample ◽  
Reference Value ◽  
The Self ◽  
Index Data ◽  
Som Neural Network ◽  
Simulation Results ◽  
Self Organizing

An intelligent evaluation method is presented to analyze the competitiveness of airlines. From the perspective of safety, service, and normality, we establish the competitiveness indexes of traffic rights and the standard sample base. The self-organizing mapping (SOM) neural network is utilized to self-organize and self-learn the samples in the state of no supervision and prior knowledge. The training steps of high convergence speed and high clustering accuracy are determined based on the multistep setting. The typical airlines index data are utilized to verify the effect of the self-organizing mapping neural network on the airline competitiveness analysis. The simulation results show that the self-organizing mapping neural network can accurately and effectively classify and evaluate the competitiveness of airlines, and the results have important reference value for the allocation of traffic rights resources.

Coupled Pitch Links for Multiharmonic Isolation Using Fluidic Circuits

2014 ◽  
Vol 59 (4) ◽  
pp. 1-11
Author(s):  
Lloyd H. Scarborough III ◽  
Christopher D. Rahn ◽  
Edward C. Smith ◽  
Kevin L. Koudela
Keyword(s):  
Experimental Validation ◽  
Analytical Models ◽  
Main Rotor ◽  
Fluidic Devices ◽  
Simulation Results ◽  
Fluidic Circuits ◽  
Blade Loads

Replacing stiff pitch links on rotorcraft with coupled fluidic devices has the potential to reduce the aerodynamic blade loads transmitted through the pitch links to the swashplate. Analytical models of two fluidic devices coupled with three different fluidic circuits are derived. These passive fluidlastic systems are tuned, by varying the fluid inertances and capacitances of each fluidic circuit, to reduce the transmitted pitch-link loads. The different circuit designs result in transmitted pitch-link loads reduction at up to three main rotor harmonics. The simulation results show loads reduction at the targeted out-of-phase and in-phase harmonics of up to 88% and 93%, respectively. Experimental validation of two of the fluidic circuits demonstrates loads reduction of up to 89% at the out-of-phase isolation frequencies and up to 81% at the in-phase isolation frequencies.

CHAOS SYNCHRONIZATION VIA UNIDIRECTIONAL COUPLING AND ITS APPLICATION TO SECURE COMMUNICATION

2009 ◽  
Vol 23 (32) ◽  
pp. 5949-5964 ◽  
Author(s):  
XINGYUAN WANG ◽  
MINGJUN WANG
Keyword(s):  
Secure Communication ◽  
Chaos Synchronization ◽  
Function Method ◽  
The Self ◽  
Largest Lyapunov Exponent ◽  
Global Synchronization ◽  
Unidirectional Coupling ◽  
Response System ◽  
Lyapunov Function Method ◽  
Simulation Results

This paper studies chaos synchronization via unidirectional coupling. The self-synchronization of Lorenz systems, modified coupled dynamos systems and hyperchaotic Chen systems is studied by three methods: the Lyapunov function method, the global synchronization method and the numerical calculation of the largest Lyapunov exponent method. In regard to application to communication, we show that via transmitting single signal the synchronization of the drive system and the response system can be achieved. An example of applying self-synchronization of hyperchaotic Chen systems to chaotic masking secure communication is presented in this paper. Simulation results show the effectiveness of the method.

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