نتایج جستجو برای: hysteresis

تعداد نتایج: 13062  

2016
Wenjun Ye

Inverse Compensation of Hysteresis using Modified Generalized Prandtl-Ishlinskii Hysteresis Model

Hysteresis loop curves are highly important for numerical simulations of materials deformation under cyclic loadings. The models mainly take account of only the tensile half of the stabilized cycle in hysteresis loop for identification of the constants which don’t vary with accumulation of plastic strain and strain range of the hysteresis loop. This approach may be quite erroneous particularly ...

Journal: :Physical review. E, Statistical, nonlinear, and soft matter physics 2012
R S Kharwanlang Prabodh Shukla

The random-field Ising model of hysteresis is generalized to dilute magnets and is solved on a Bethe lattice. Exact expressions for the major and minor hysteresis loops are obtained. In the strongly dilute limit the model provides a simple and useful understanding of the shapes of hysteresis loops in magnetic rock samples.

The use of different optical-fiber sensors for weighing measurements is Abstract described. By using three different mechanical stressing mechanisms, the operation of the fiber-to-fiber transducer systems are tested and the results are presented. Parameters such as sensitivity, hysteresis, resolution, and dynamic range are measured. A comparison of the results has shown that the sensor system m...

1999
JANA KOPFOVÁ Hal L. Smith

The Cauchy problem for an ordinary differential equation coupled with a hysteresis operator is studied. Under physically reasonable assumptions on the forcing term, uniqueness of solutions is shown without assuming Lipschitz continuity of the hysteresis curves. The result is true for any kind of hysteresis operators with monotone curves of motion.

Journal: :Langmuir : the ACS journal of surfaces and colloids 2005
Piotr Kowalczyk Katsumi Kaneko Lech Solarz Artur P Terzyk Hideki Tanaka Robert Hołyst

The systematic investigation of the hysteresis phenomena in finite-sized slitlike nanopores via the Aranovich-Donohue (AD) lattice density functional theory (LDFT) is presented. The new reliable quantitative modeling of the adsorption and desorption branch of the hysteresis loop, through the formation and movement of the curved meniscus, is formulated. As a result, we find that our proposal, wh...

2013
S. Narmada - narmada. singam

In this paper, a hysteresis current control technique for a single-phase five-level inverter with cascaded H-bridge topology is proposed. The basic study to implement the logic for correct voltage-level selection, various schemes available in the literature have been described and will provide a useful framework and point of reference for the future development of hysteresis modulation for mult...

1998
Chengqun Gui

Nonlinearity and hysteresis effects of electrostatically activated, voltage driven resonant microbridges have been studied theoretically and experimentally. It is shown, that, in order to avoid vibration instability and hysteresis to occur, the choices of the ax . and d.c. driving voltages and of the quality factor of a resonator, with a given geometry and choice of materials, are limited by a ...

2004
Michael Dobbie

In recent years a large theoretical and empirical literature has emerged on hysteresis in unemployment. This paper reviews the theoretical part of this literature, including the various insider-outsider models that have been advanced to explain hysteresis. The review finds that while the assumptions required to generate full hysteresis are somewhat extreme, a less severe form of hysteresis, cal...

2004
YONG BEOM CHO J. W. Harley KAZUHIRO TSUCHIYA YOSHIYASU TAKEFUJI

A parallel algorithm for finding Ramsey numbers is presented where analog/digital CMOS circuits for the hysteresis McCulloch-Pitts binary neuron are described. The hysteresis McCulloch-Pitts binary neuron model is used in order to suppress the oscillatory behaviors of neural dynamics so that the convergence time is shortened. The proposed algorithm using the hysteresis McCultoch-Pitts binary ne...

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