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Effects of Zn content on microstructure and magnetic properties of MnZn ferrite
Yingming Zhang,Yujie Yang,Dongyang Chen,Congliang Chen,Yuting Meng 한양대학교 청정에너지연구소 2023 Journal of Ceramic Processing Research Vol.24 No.2
The Mn1-xZnxFe2O4 (x = 0.46, 0.47, 0.48, 0.50, 0.51) ferrite materials were prepared by solid-state reaction. The effects ofvarying Zn concentration on the magnetic characteristics and microstructure of MnZn ferrites were investigated. All of theseferrites are one spinel phase, according to XRD analysis, and no additional heterogeneous phases are generated. Thediffraction peaks of the samples appear to be shifted to a higher angle compared to the standard cards. The sample's very bigand irregular grain development caused the sample's grain size to vary as the zinc level increased. The power loss of MnZnferrite can be decreased because to this phenomena. The PCV value decreases as the Zn level of the samples increases. The PCVof this ferrite is as high as 242.6 mW/cm3 at a frequency of 150 kHz with a Zn concentration of x = 0.46. Under the same testcircumstances, ferrite's PCV value is only 115.2mW/cm3 when the Zn concentration is x = 0.48. The complex permeability ofthe samples rises with an increase in Zn concentration. In the ferrite sample with the highest Zn content (x = 0.51), its μ' valuekeeps at a high level with the change of frequency. When the frequency is 10 kHz, the μ' value is as high as 260.9. Additionally,all of these ferrite samples demonstrated stability against interference at frequencies lower than 150 kHz.
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Yuansheng Ning,Hongbo Wang,Junjie Tian,Hao Yan,Yu Tian,Congliang Yang,Jian Wei,Jianye Niu 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.11
Upper extremity exoskeleton rehabilitation robots can be used for the training of patients with upper extremity motor dysfunction. In most cases, the design of such robots focuses on the configuration and the human-machine compatibility. For patients, the use of an exoskeleton rehabilitation robot mainly aims to improve their movement ability, which depends on the range of movement of the upper extremity joints. This paper proposes an eight-degreeof-freedom (DOF) upper extremity exoskeleton rehabilitation robot to improve the movement range of the patient’s upper extremity joints. The structural parameters of the shoulder joint are optimized and analyzed by the kinematic equations of the mechanism and the cyclic iteration algorithm such that the movement range of the patient joint can be maximized. The movement space of the robot is then simulated. Finally, the movement range of the rehabilitation robot joints and the movement space of the rehabilitation robot were measured. Experimental results show that the upper extremity exoskeleton rehabilitation robot can meet the patient’s shoulder, elbow, and wrist movement range, and the overlap with the human upper extremity movement space is 97.1 % and 95.7 % in the coronal and sagittal planes, respectively.
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