2021
DOI: 10.3390/mi12111397
|View full text |Cite
|
Sign up to set email alerts
|

Numerical Evaluation and Experimental Test on a New Giant Magnetostrictive Transducer with Low Heat Loss Design

Abstract: Giant magnetostrictive transducer with micro and nano precision has a wide application prospect in the field of remote sensing. However, excessive heat loss of components could generate during the energy conversion and transfer from electric energy to magnetic energy, and magnetic energy to mechanical energy, thereby affecting its long-term service and also reducing energy utilization. In this paper, a new magnetostrictive transducer is proposed and its excitation coil, internal and external magnetic circuit a… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4

Citation Types

0
3
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(4 citation statements)
references
References 21 publications
(18 reference statements)
0
3
0
Order By: Relevance
“…12 In addition, Fan et al propose optimization methods intended to minimize the power consumption utilizing shape factors, while Bai et al design parallel coil with heat loss by decreasing the coupling inductance. 13,14 Several useful conclusions are drawn in these publications, which can provide some general roadmaps to conduct excitation coil design and optimization. 15,16 However, compared with other application conditions, GMA for ECI is a little different, for the magnetic field intensity uniformity and energy efficiency are usually not the most important indices to evaluate the output performance of this kind of actuator but the response speed.…”
Section: Introductionmentioning
confidence: 97%
See 1 more Smart Citation
“…12 In addition, Fan et al propose optimization methods intended to minimize the power consumption utilizing shape factors, while Bai et al design parallel coil with heat loss by decreasing the coupling inductance. 13,14 Several useful conclusions are drawn in these publications, which can provide some general roadmaps to conduct excitation coil design and optimization. 15,16 However, compared with other application conditions, GMA for ECI is a little different, for the magnetic field intensity uniformity and energy efficiency are usually not the most important indices to evaluate the output performance of this kind of actuator but the response speed.…”
Section: Introductionmentioning
confidence: 97%
“…12 In addition, Fan et al propose optimization methods intended to minimize the power consumption utilizing shape factors, while Bai et al design parallel coil with heat loss by decreasing the coupling inductance. 13,14 Several useful conclusions are drawn in these publications, which can provide some general roadmaps to conduct excitation coil design and optimization. 15,16…”
Section: Introductionmentioning
confidence: 97%
“…Ma et al [ 13 ] presented a novel rotatable giant magnetostrictive transducer in which the excitation coil is fixed and the Terfenol-D rod in the rotary part is excited by the magnetic field; this transducer worked well with much improved ultrasonic vibration stability compared with the traditional transducer. Bai et al [ 14 ] proposed a new design for a giant magnetostrictive transducer with low heat loss. The finite element software was used to design and analyze the internal and external yoke and heat transfer structure, and the results show that the transducer has a low temperature rise.…”
Section: Introductionmentioning
confidence: 99%
“…While piezoelectric materials exhibit remarkable capabilities, scholarly interest in magnetostrictive materials has surged, particularly because of their wireless excitation potential in displacement actuators [10]. The combination of magnetostrictive and piezoelectric Micromachines 2023, 14, 1878 2 of 21 layers in magnetoelectric composites enables simultaneous magnetic and charge ordering capabilities.…”
Section: Introductionmentioning
confidence: 99%