A Quantizing Method for Determination of Controlled Damping Parameters of Magnetorheological Damper Models

2011 ◽  
Vol 22 (18) ◽  
pp. 2127-2136 ◽  
Author(s):  
Yongqiang Liu ◽  
Shaopu Yang ◽  
Yingying Liao
Keyword(s):  
Experimental Data ◽  
Visual Inspection ◽  
Mr Damper ◽  
Pattern Search ◽  
Magnetorheological Damper ◽  
Simulation Data ◽  
Inspection Errors ◽  
Parameter Values ◽  
Selection Of

A quantizing method, single parameter adjustment method (SPAM), is proposed so that the selection of controlled damping parameters of the magnetorheological (MR) damper models can be well founded. By using SPAM, only one parameter is identified each time, and the controlled damping parameters are selected according to their damping controllability. The relationships between the selected parameters and applied currents are determined by curve fitting. Genetic algorithm (GA) and pattern search (PS) are used to identify parameter values of the MR damper models. A modified Bouc–Wen model is considered and its parameters are obtained using these methods. Then the experimental data with different frequencies, amplitudes, and currents are used to verify the proposed SPAM. The results show that the simulation data agree well with the measured experimental data. Compared with the traditional identification method that relies on assumption and visual inspection, errors produced by SPAM are greatly reduced. At last, Bouc–Wen model and modified Dahl model are considered and analyzed using SPAM.

scholarly journals Experimental Analysis of Power Flows in the Regenerative Vibration Reduction System with a Magnetorheological Damper

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 848
Author(s):  
Bogdan Sapiński ◽  
Paweł Orkisz ◽  
Łukasz Jastrzębski
Keyword(s):  
Experimental Data ◽  
Experimental Analysis ◽  
Vibration Reduction ◽  
Mr Damper ◽  
Magnetorheological Damper ◽  
Test Rig ◽  
Instantaneous Power ◽  
Reduction System ◽  
Inertial Energy ◽  
Regenerative Vibration

The aim of the work is to investigate power flows in the vibration reduction system equipped with a magnetorheological (MR) damper and energy regeneration. For this purpose, experiments were conducted in the test rig compound of the shaker and the vibration reduction system (electromagnetic harvester, MR damper, spring) which are attached to the sprung mass. The experimental data acquired under sine excitations enabled us to analyze instantaneous power fluxes, as well as a rate of inertial energy changes in the system.

Model Verification of Mixed Dynamic Systems

1978 ◽  
Vol 100 (2) ◽  
pp. 266-273 ◽  
Author(s):  
J. D. Chrostowski ◽  
D. A. Evensen ◽  
T. K. Hasselman
Keyword(s):  
Experimental Data ◽  
Parameter Estimation ◽  
Dynamic Systems ◽  
Statistical Parameter ◽  
Model Verification ◽  
Passive Networks ◽  
Parameter Values ◽  
Basic Configuration ◽  
General Method

A general method is presented for using experimental data to verify math models of “mixed” dynamic systems. The term “mixed” is used to suggest applicability to combined systems which may include interactive mechanical, hydraulic, electrical, and conceivably other types of components. Automatic matrix generating procedures are employed to facilitate the modeling of passive networks (e.g., hydraulic, electrical). These procedures are augmented by direct matrix input which can be used to complement the network model. The problem of model verification is treated in two parts; verification of the basic configuration of the model and determination of the parameter values associated with that configuration are addressed sequentially. Statistical parameter estimation is employed to identify selected parameter values, recognizing varying degrees of uncertainty with regard to both experimental data and analytical results. An example problem, involving a coupled hydraulic-mechanical system, is included to demonstrate application of the method.

Parameters Consideration in Designing a Magnetorheological Damper

2013 ◽  
Vol 543 ◽  
pp. 487-490 ◽  
Author(s):  
Izyan Iryani Mohd Yazid ◽  
Saiful Amri Mazlan ◽  
Hairi Zamzuri ◽  
M.J. Mughni ◽  
S. Chuprat
Keyword(s):  
Magnetic Field ◽  
Finite Element Method ◽  
Circuit Design ◽  
Software Package ◽  
Mixed Mode ◽  
Mr Damper ◽  
Magnetorheological Damper ◽  
Femm Software ◽  
The Magnetic Field ◽  
Selection Of

This paper presents a simulation study of electromagnetic circuit design for a mixed mode Magnetorheological (MR) damper. The magnetic field generated by electromagnetic circuit of the MR damper was simulated using Finite Element Method Magnetics (FEMM) software package. All aspects of geometry parameters were considered and adjusted efficiently in order to obtain the best MR damper performance. Eventually, six different parameters approach were proposed; the selection of materials, the polarity of coils, the diameter of piston, piston rod and core, the shear and squeeze gaps clearance, the piston pole length and the thickness of housing.

Research on a Composite Polynomial Model for Magnetorheological Damper

2012 ◽  
Vol 482-484 ◽  
pp. 843-847
Author(s):  
Jia Ling Yao ◽  
Wen Ku Shi ◽  
Jin Feng Lu
Keyword(s):  
Experimental Data ◽  
Nonlinear Behavior ◽  
Mr Damper ◽  
Open Loop ◽  
Polynomial Model ◽  
Magnetorheological Damper ◽  
Damping Force ◽  
Loop Control ◽  
Proposed Model ◽  
Loop Control System

The reported mathematical models of magnetorheological (MR) damper cannot make a good tradeoff among reflecting the damper’s nonlinear behavior and controllability. Damping characteristic experiments have been conducted on a MR damper. A composite polynomial model has been proposed integrating the experimental investigation and the polynomial model, in which the plot of polynomial coefficient vs. current is divided into two sections to reflect the property of the current saturation, meanwhile, the affections of exciting amplitude and frequency are considered in this model. The reverse model of the proposed model is easy to be obtained, so it is convenient to realize an open-loop control system to achieve a desirable damping force. The parameters of this model are identified using experimental data in a certain frequency and amplitude, as well as diverse currents. Compared numerical simulation with experimental data, it is verified that the proposed model can accurately predict the damping force without modifying the parameters of the model when frequency, amplitude and current changed.

scholarly journals Modeling the crystallization kinetics of polymers displaying high levels of secondary crystallization

2021 ◽  
Author(s):  
Catherine A. Kelly ◽  
Mike J. Jenkins
Keyword(s):  
Experimental Data ◽  
Visual Inspection ◽  
Crystallization Process ◽  
Primary Crystallization ◽  
Parallel Model ◽  
Secondary Crystallization ◽  
Multivariable Regression ◽  
Kinetics Of ◽  
Best Fit

AbstractThe isothermal crystallization of poly(3-hydroxybutyrate-co-3-hydroxyvalerate) was evaluated using a range of models, namely, Avrami, simplified Hillier, Tobin, Malkin, Urbanovici–Segal, Velisaris–Seferis, and Hay. Two methods of model evaluation were used: determination of the parameters through traditional double log plots and curve fitting via nonlinear, multivariable regression. Visual inspection of the cumulative crystallization curves, calculation of the R2 value and standard error of the regression, and evaluation of the returned parameters were used to assess which model best describes the experimental data. The Hay model was found to generate the best fit, closely followed by the Velisaris–Seferis parallel model, suggesting that primary and secondary crystallization occur concurrently. The Avrami, Malkin, and Tobin models were found to perform well when the data is restricted to the region where primary crystallization dominates; however, they could not be used to successfully model the entire crystallization process. This work highlights the importance of selecting the most appropriate model for analyzing kinetics, especially when high levels of lamellar thickening and infilling occur during crystallization.

Optimal locally resonant bandgaps in a windmill-like phononic crystal structure

2021 ◽  
pp. 2150264
Author(s):  
Xingfu Ma ◽  
Hang Xiang ◽  
Xiane Yang ◽  
Jiawei Xiang
Keyword(s):  
Crystal Structure ◽  
Experimental Data ◽  
Finite Element ◽  
Response Surface Methodology ◽  
Phononic Crystal ◽  
Optimization Method ◽  
Key Factors ◽  
Optimal Range ◽  
Simulation Data

In this paper, a windmill-like phononic crystal (PC) structure with optimal locally resonant bandgaps (LRBGs) is proposed. By analyzing the variation trend of BGs, three geometric parameters (the side length and height of cuboid scatterer, and the width of elastic beams) are found to be key factors for the determination of BGs. Using response surface methodology (RSM), 3-factor and 7-level experiment are designed to obtain experimental data with the help of finite element simulations. Three relationships (fitting equations) between the three factors and the second BGs terminating frequency, the first BGs bandwidth, and the second BGs bandwidth, are further obtained by fitting the simulation data. Based on the three fitting equations, the optimal LRBGs are finally obtained using a simple optimization method. The proposed windmill-like structure PC is demonstrated to possess an optimal range of BG.

On the determination of single-crystal plasticity parameters by diffraction: optimization of a polycrystalline plasticity model using a genetic algorithm

2012 ◽  
Vol 45 (4) ◽  
pp. 627-643 ◽  
Author(s):  
T. Skippon ◽  
C. Mareau ◽  
M. R. Daymond
Keyword(s):  
Experimental Data ◽  
Genetic Algorithm ◽  
Model Parameters ◽  
Plasticity Model ◽  
Flow Curves ◽  
Lattice Strains ◽  
Tension And Compression ◽  
Single Crystal Plasticity ◽  
Selection Of

A genetic algorithm was implemented in order to optimize the selection of parameters within a polycrystalline plasticity model. Previously collected experimental data from tests performed on textured Zircaloy-2, consisting of macroscopic flow curves, lattice strains and Lankford coefficients, all measured in both tension and compression in three principle directions of a plate, were reproduced by the model. The results obtained were found to be comparable to prior attempts to optimize the model parameters manually.

Selection of Adsorbents and Determination of Parameters for the Separation of Glucose, Fructose, Sucrose and Fructooligosaccharides

2010 ◽  
Vol 6 (6) ◽  
Author(s):  
Raquel Cristine Kuhn ◽  
Francisco Maugeri Filho
Keyword(s):  
Experimental Data ◽  
Active Carbon ◽  
The Other ◽  
Isothermal Kinetics ◽  
Nax Zeolite ◽  
Selection Step ◽  
Determination Of Parameters ◽  
Best Fit ◽  
Selection Of

This work aimed to describe the adsorption of sugars (glucose, fructose, sucrose and fructooligosaccharides) employing different adsorbents (celite, active carbon and NaX zeolite) by means of isothermal models. At the adsorbent selection step, the active carbon exhibited a higher affinity for the adsorption of fructooligosaccharides. On the other hand, the adsorbents NaX zeolite and celite presented the highest adsorption stability with glucose, giving values of 1.496 g glucose/g zeolite and 1.35 g glucose/g celite. Therefore, zeolite and celite were the adsorbents selected for the determination of isothermal kinetics and it was shown that the linear model (q*= k.C*) provided the best fit for the experimental data. The temperatures studied were 30, 40 and 50 °C, and the 50°C resulted in the highest partition coefficient (k) for glucose on celite, indicating that higher temperatures benefit sugar adsorption.

Extending the linear range for kinetic reactions by considering the relationship between enzyme activity of the reagent and measurement intervals.

1986 ◽  
Vol 32 (11) ◽  
pp. 2021-2025 ◽  
Author(s):  
M P Goren ◽  
J E Davis
Keyword(s):  
Experimental Data ◽  
Enzyme Activity ◽  
Linear Range ◽  
Concentration Curve ◽  
Measurement Interval ◽  
Km Value ◽  
The Relationship ◽  
Substrate Concentrations ◽  
Selection Of

Abstract We show that the rate-concentration curve is sigmoidal for enzyme-catalyzed procedures that are commonly applied to rapid automated analyzers. Linear data can be obtained by judicious selection of the reagent enzyme activity (Vm) and the measurement interval (t1 to t2). For determination of substrate concentrations much less than Km, conditions that balance linearity with sensitivity and accuracy are obtained when Vm/Km = [ln (t2/t1)]/(t2-t1). We also present theoretical and experimental data that show the linear range can be extended to concentrations exceeding the Km value. We illustrate the application of theoretically appropriate conditions by analysis of procedures reported to be optimized. Familiarity with these concepts can obviate laborious and potentially misleading experimentation.

scholarly journals The Use of Imposed Displacements to Determine Impact Forces in a Multiple Blade Shed Incident

1993 ◽  
Author(s):  
T. B. Dewhurst ◽  
P. Tang
Keyword(s):  
Experimental Data ◽  
Finite Element ◽  
Accurate Determination ◽  
Physical Reality ◽  
Dynamic Finite Element ◽  
Impact Forces ◽  
Finite Element Procedure ◽  
Accurate Numerical Solution ◽  
Selection Of

Experimental data from a multiple blade shed incident is used to determine the forces exerted by the blades on a containment ring. A transient, dynamic, finite element procedure is used to model the ring during the blade shed. This work focuses on the selection of the proper numerical parameters that lead to a stable and accurate numerical solution while maintaining physical reality. Examination of the degree of implicitness and various measures of damping, as well as incorporation of large displacement algorithms, has lead to a simulation that successfully determines the forces on the ring. Accurate determination of these forces is necessary for optimal design of containment systems.

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