A Novel Flexure Deflection Device with Damping Function: Towards Laser Reflector of 3D Lithography

2019 ◽  
pp. 393-400
Author(s):  
Guixin Zhang ◽  
Hui Tang ◽  
Xun Chen ◽  
Xiaohui Guo ◽  
Jiedong Li ◽  
...  
Keyword(s):  
Damping Function

Adhesives fulfil a damping function

2013 ◽  
Vol 10 (3) ◽  
pp. 12-17
Author(s):  
Anke Büscher ◽  
Christian Schäfers ◽  
Norbert Austerhoff
Keyword(s):  
Damping Function

STRESS RELAXATION OF MAGNETORHEOLOGICAL FLUIDS

2002 ◽  
Vol 16 (17n18) ◽  
pp. 2655-2661
Author(s):  
W. H. LI ◽  
G. CHEN ◽  
S. H. YEO ◽  
H. DU
Keyword(s):  
Stress Relaxation ◽  
Viscoelastic Model ◽  
Relaxation Modulus ◽  
Damping Function ◽  
Mr Fluids ◽  
Large Step ◽  
Linear Viscoelastic ◽  
Predicted Values ◽  
Two Parameters ◽  
Step Strain

In this paper, the experimental and modeling study and analysis of the stress relaxation characteristics of magnetorheological (MR) fluids under step shear are presented. The experiments are carried out using a rheometer with parallel-plate geometry. The applied strain varies from 0.01% to 100%, covering both the pre-yield and post-yield regimes. The effects of step strain, field strength, and temperature on the stress modulus are addressed. For small step strain ranges, the stress relaxation modulus G(t,γ) is independent of step strain, where MR fluids behave as linear viscoelastic solids. For large step strain ranges, the stress relaxation modulus decreases gradually with increasing step strain. Morever, the stress relaxation modulus G(t,γ) was found to obey time-strain factorability. That is, G(t,γ) can be represented as the product of a linear stress relaxation G(t) and a strain-dependent damping function h(γ). The linear stress relaxation modulus is represented as a three-parameter solid viscoelastic model, and the damping function h(γ) has a sigmoidal form with two parameters. The comparison between the experimental results and the model-predicted values indicates that this model can accurately describe the relaxation behavior of MR fluids under step strains.

Adaptive Elastic SMA Elements for Damping Applications

2013 ◽  
Author(s):  
Alexander Czechowicz ◽  
Peter Dültgen ◽  
Sven Langbein
Keyword(s):  
Boundary Conditions ◽  
Shape Memory Alloys ◽  
Shape Memory ◽  
Smart Materials ◽  
Electrical Resistance ◽  
Thermal Activation ◽  
Hysteretic Behavior ◽  
Damping Function ◽  
Actual Shape ◽  
Elastic Elements

Shape memory alloys (SMA) are smart materials, which have two technical usable effects: While pseudoplastic SMA have the ability to change into a previously imprinted actual shape through the means of thermal activation, pseudoelastic SMA show a reversible mechanical elongation up to 8% at constant temperature. The transformation between the two possible material phases (austenite and martensite) shows a hysteretic behavior. As a result of these properties, SMA can be used as elastic elements with intrinsic damping function. Additionally the electrical resistance changes remarkably during the material deformation. These effects are presented in the publication in combination with potential for applications in different branches at varying boundary conditions. The focus of the presented research is concentrated on the application of elastic elements with adaptive damping function. As a proof for the potential considerations, an application example sums up this presentation.

A simple damping function for the three-atom dispersion energy

2000 ◽  
Vol 317 (3-5) ◽  
pp. 346-350 ◽  
Author(s):  
T.I. Sachse ◽  
K.T. Tang ◽  
J.P. Toennies
Keyword(s):  
Dispersion Energy ◽  
Damping Function

Modeling Compressible Fluid Struts for Active Suspension Development

2004 ◽  
Author(s):  
Xubin Song
Keyword(s):  
Compressible Fluid ◽  
Shock Absorber ◽  
Active Suspension ◽  
Parametric Model ◽  
Simple Equation ◽  
Vehicle Suspension ◽  
Data Sets ◽  
Pressure Data ◽  
Damping Function ◽  
Testing Data

In this paper, a non-parametric model is presented for representing compressible fluid struts (CFS) that are based on silicon fluid. The strut can be properly designed to replace the traditional spring and shock absorber for vehicle suspension application. For this study, the strut does not include damping function so that the analysis focuses on modeling the fluid compressibility of the spring function. The approach is to derive a series of mathematics equations in correspondence to the extracted data sets from the strut testing data. The pressure data can be characterized as dependent on precharge pressure, vibration applied on the strut, and friction existing between sealing and the strut rod surface. Every characteristic is represented by a (group of) simple equation, which is optimized based on characterized data sets, respectively. Finally the model is programmed in SIMULINK and validated by the collected testing data.

Sign in / Sign up

Export Citation Format

Share Document