Bending experimental study of structural steel beam on magnetic field gradient based on modified Jiles-Atherton model

2017 ◽  
Vol 55 (3) ◽  
pp. 409-421 ◽  
Author(s):  
Sanqing Su ◽  
Shuchun Yi ◽  
Wei Wang ◽  
Haojiang Sun ◽  
Guangchao Ren
Keyword(s):  
Magnetic Field ◽  
Experimental Study ◽  
Structural Steel ◽  
Field Gradient ◽  
Magnetic Field Gradient ◽  
Steel Beam ◽  
Gradient Based

Analytical and Experimental Study of Magnetomechanical Properties of Magnetic Porous PDMS Sponge Under Non-Uniform Magnetic Fields

2020 ◽  
Vol 87 (8) ◽  
Author(s):  
Ali Shademani ◽  
Mu Chiao
Keyword(s):  
Magnetic Field ◽  
Mechanical Properties ◽  
Experimental Study ◽  
Magnetic Fields ◽  
Field Gradient ◽  
Magnetic Field Gradient ◽  
Experimental Methods ◽  
Compression Tests ◽  
Magnetomechanical Coupling ◽  
The Magnetic Field

Abstract Magnetic elastomers (MEs) respond to an applied magnetic field through magnetomechanical coupling, where the mechanical properties of the MEs change with magnetic field strength. These phenomena have been mostly studied under homogenous magnetic fields due to the simplicity. In this work, the effects of the magnetic field gradient on the mechanical properties and the response of the MEs was examined. MEs are made by embedding carbonyl iron microparticles (CI) into a polydimethylsiloxane (PDMS) matrix, which is later rendered porous. The influence of the CI concentration was investigated by manipulating four different samples with CI/PDMS weight ratios of 0.2, 0.6, 1.0, and 1.4. An analytical method was proposed to further understand the interactions of the magnetic field gradient and the material’s response. The proposed theory was later verified with experimental results from compression tests in the presence of different magnetic fields. The proposed theoretical framework and experimental methods can be used to improve the design of MEs in the future.

Magnetically sensitive converter of the magnetic field gradient based on oscillistor

2017 ◽  
Author(s):  
Alexander I. Cheredov ◽  
Andrey V. Shchelkanov ◽  
Ravil A. Akhmedzhanov ◽  
Egor O. Korenev
Keyword(s):  
Magnetic Field ◽  
Field Gradient ◽  
Magnetic Field Gradient ◽  
Gradient Based ◽  
The Magnetic Field

scholarly journals Wireless 3D Surgical Navigation and Tracking System with 100lm Accuracy Using Magnetic-Field Gradient-Based Localization

2021 ◽  
pp. 1-1
Author(s):  
Saransh Sharma ◽  
Aditya Telikicherla ◽  
Grace Ding ◽  
Fatemeh Aghlmand ◽  
Arian Hashemi Talkhooncheh ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Field Gradient ◽  
Surgical Navigation ◽  
Tracking System ◽  
Magnetic Field Gradient ◽  
Gradient Based

scholarly journals Magnetic Field Gradient-Based EKF for Velocity Estimation in Indoor Navigation

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5726
Author(s):  
Makia Zmitri ◽  
Hassen Fourati ◽  
Christophe Prieur
Keyword(s):  
Magnetic Field ◽  
Field Gradient ◽  
Inertial Sensors ◽  
Magnetic Field Gradient ◽  
Position Estimation ◽  
Indoor Navigation ◽  
Velocity Estimation ◽  
Gradient Based ◽  
Estimation Scheme ◽  
The Magnetic Field

This paper proposes an advanced solution to improve the inertial velocity estimation of a rigid body, for indoor navigation, through implementing a magnetic field gradient-based Extended Kalman Filter (EKF). The proposed estimation scheme considers a set of data from a triad of inertial sensors (accelerometer and gyroscope), as well as a determined arrangement of magnetometers array. The inputs for the estimation scheme are the spatial derivatives of the magnetic field, from the magnetometers array, and the attitude, from the inertial sensors. As shown in the literature, there is a strong relation between the velocity and the measured magnetic field gradient. However, the latter usually suffers from high noises. Then, the novelty of the proposed EKF is to develop a specific equation to describe the dynamics of the magnetic field gradient. This contribution helps to filter, first, the magnetic field and its gradient and second, to better estimate the inertial velocity. Some numerical simulations that are based on an open source database show the targeted improvements. At the end of the paper, this approach is extended to position estimation in the case of a foot-mounted application and the results are very promising.

A Method for Introduction of Magnetic Nanoparticles into Tissues by Means of Magnetic Field Gradient: An Experimental Study

2009 ◽  
Vol 147 (6) ◽  
pp. 750-752 ◽  
Author(s):  
K. G. Dobretsov ◽  
V. Yu. Afon’kin ◽  
A. K. Kirichenko ◽  
V. P. Ladygina ◽  
S. V. Stolyar ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Experimental Study ◽  
Magnetic Nanoparticles ◽  
Field Gradient ◽  
Magnetic Field Gradient

scholarly journals MAGNETICALLY SENSITIVE CONVERTER OF THE MAGNETIC FIELD GRADIENT BASED ON OSCILLISTOR

2017 ◽  
Vol 5 (4) ◽  
pp. 282-286
Author(s):  
A. I. Cheredov ◽  
◽  
A.V. Shchelkanov ◽  
R. A. Akhmedzhanov ◽  
E. O. Korenev ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Field Gradient ◽  
Magnetic Field Gradient ◽  
Gradient Based ◽  
The Magnetic Field

Towards Magnetic Field Gradient-Based Imaging and Control of In-Body Devices

2021 ◽  
Author(s):  
Hongxiang Gao ◽  
Yubin Lin ◽  
Manuel Monge
Keyword(s):  
Magnetic Field ◽  
Field Gradient ◽  
Magnetic Field Gradient ◽  
Gradient Based ◽  
And Control

20.4 3D Surgical Alignment with 100µm Resolution Using Magnetic-Field Gradient-Based Localization

2020 ◽  
Author(s):  
Saransh Sharma ◽  
Grace Ding ◽  
Aditya Telikicherla ◽  
Fatemeh Aghlmand ◽  
Arian Hashemi Talkhooncheh ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Field Gradient ◽  
Magnetic Field Gradient ◽  
Gradient Based

Spectroscopic imaging of human disease

1996 ◽  
Vol 54 ◽  
pp. 884-885
Author(s):  
D.J. Meyerhoff
Keyword(s):  
Magnetic Field ◽  
Magnetic Resonance ◽  
Field Gradient ◽  
Human Disease ◽  
Morphological Changes ◽  
Magnetic Field Gradient ◽  
Spectroscopic Imaging ◽  
Resonance Spectroscopy ◽  
Tissue Water

Magnetic Resonance Imaging (MRI) observes tissue water in the presence of a magnetic field gradient to study morphological changes such as tissue volume loss and signal hyperintensities in human disease. These changes are mostly non-specific and do not appear to be correlated with the range of severity of a certain disease. In contrast, Magnetic Resonance Spectroscopy (MRS), which measures many different chemicals and tissue metabolites in the millimolar concentration range in the absence of a magnetic field gradient, has been shown to reveal characteristic metabolite patterns which are often correlated with the severity of a disease. In-vivo MRS studies are performed on widely available MRI scanners without any “sample preparation” or invasive procedures and are therefore widely used in clinical research. Hydrogen (H) MRS and MR Spectroscopic Imaging (MRSI, conceptionally a combination of MRI and MRS) measure N-acetylaspartate (a putative marker of neurons), creatine-containing metabolites (involved in energy processes in the cell), choline-containing metabolites (involved in membrane metabolism and, possibly, inflammatory processes),

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