Modeling of Terfenol-D Biased Minor Hysteresis Loops

Meng, Aihua; Zhu, Jiaming; Kong, Min; He, Huacan

doi:10.1109/tmag.2012.2207735

Cited by 15 publications

(5 citation statements)

References 24 publications

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“…On the other hand, the phenomenological hysteresis models, such as the Preisach model [11], the Prandtle-Ishlinskii model [12], the Maxwell model [13], the Duhem model [14], the LuGre model [15], and the Bouc-Wen model [16,17], allow formulating an inverse that can be employed for compensation of the hysteresis of smart actuators. These studies show that the output-input properties of magnetostrictive actuators depend on several experimental factors like bias level [18] and frequency of the input [19]. These phenomenological hysteresis models, however, have difficulty in accurate reflecting the dynamics characteristics of magnetostrictive actuators.…”

Section: Introductionmentioning

confidence: 99%

Hysteresis modelling and experimental verification of a Fe–Ga alloy magnetostrictive actuator

Zhu

Xiang

Chen

et al. 2017

Smart Mater. Struct.

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In order to accurately describe the asymmetric rate-bias-dependent hysteresis of a Fe–Ga alloy magnetostrictive actuator, a comprehensive model, which is composed of a phenomenon model, describing hysteresis by the modified Bouc–Wen hysteresis operator, and a theoretical model, representing the dynamics characteristics, is put forward. The experimental system is setup to verify the performance of the comprehensive model. Results show that the modified Bouc–Wen model can effectively describe the dynamics and hysteresis characteristics of the Fe–Ga alloy magnetostrictive actuator. The results highlight significantly improved accuracy in the modelling of the magnetostrictive actuator.

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Section: Introductionmentioning

confidence: 99%

Hysteresis modelling and experimental verification of a Fe–Ga alloy magnetostrictive actuator

Zhu

Xiang

Chen

et al. 2017

Smart Mater. Struct.

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“…The force goes down when the elongation increases. For quasi-static load, GMM rod can be simplified as elastomer 20 . The force of GMM rod is calculated by the following formulas,…”

Section: Methodsmentioning

confidence: 99%

The principle and physical models of novel jetting dispenser with giant magnetostrictive and a magnifier

Zhou

Duan

et al. 2015

Sci Rep

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In order to develop jetting technologies of glue in LED and microelectronics packaging, giant-magnetostrictive-material (GMM) is firstly applied to increase jetting response, and a new magnifying device including a lever and a flexible hinge is designed to improve jetting characteristics. Physical models of the jetting system are derived from the magnifying structure and working principle, which involves circuit model, electro-magneto-displacement model, dynamic model and fluid-solid coupling model. The system model is established by combining mathematical models with Matlab-Simulink. The effectiveness of the GMM-based dispenser is confirmed by simulation and experiments. The jetting frequency significantly increases to 250 Hz, and dynamic behaviors jetting needle are evaluated that the velocity and displacement of the jetting needle reaches to 320 mm•s-1 and 0.11 mm respectively. With the increasing of the filling pressure or the amplitude of the current, the dot size will become larger. The dot size and working frequency can be easily adjusted.

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“…The winding sequence of this machine repeats once and therefore requires simulation of half of the machine. However the armature fractional winding is 15 13 1 slots per pole per phase which means that the magnetic field symmetry repeats after 15 poles. For no load computation, only the field circuit generates the magnetic field therefore to further reduce the size of the model for no load simulations, a section containing only 5 poles was used.…”

Section: Generator Modelingmentioning

confidence: 99%

Consideration of design and operation on rotational flux density distributions in hydro generator stators

Akiror

Merkhouf²,

Hudon

et al. 2014

2014 International Conference on Electrical Machines (ICEM)

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Core losses in an electrical machine vary depending on the type of material, frequency and flux density. Loss prediction using pulsating models is insufficient for estimating core losses in a machine since it does not take into account rotational core losses. Moreover the superposition of pulsating losses in the radial and tangential direction overestimates losses especially at higher flux densities. The objective of this paper is to study the rotational flux density distribution in the stator of a generator under different operating conditions. The distribution of rotational flux in a large hydro generator stator is studied by plotting the aspect ratio. It was found that increasing the yoke length increases the area experiencing rotational flux. Varying the air gap and output power showed slight changes in the rotational flux distribution. However they have an effect on the flux magnitude and harmonics which potentially increase the total losses. Dimensions and operating conditions of the machine therefore affect the total core losses.

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Modeling of Terfenol-D Biased Minor Hysteresis Loops

Cited by 15 publications

References 24 publications

Hysteresis modelling and experimental verification of a Fe–Ga alloy magnetostrictive actuator

Hysteresis modelling and experimental verification of a Fe–Ga alloy magnetostrictive actuator

The principle and physical models of novel jetting dispenser with giant magnetostrictive and a magnifier

Consideration of design and operation on rotational flux density distributions in hydro generator stators

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