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Author:

Zhang, Fang Zhou (Zhang, Fang Zhou.) | Liu, Ben Dong (Liu, Ben Dong.) | Wu, Yu De (Wu, Yu De.) | Li, De Sheng (Li, De Sheng.) (Scholars:李德胜)

Indexed by:

EI Scopus

Abstract:

A micro inductance sensor model based on the software of Maxwell to detect the debris in oil is presented. The model is built to study the detecting performance of sensors with different turns and enwinding styles. It can be demonstrated that the planar coil with 15 turns has a better sensitivity to detecting metal debris with about 100 micro meters in size. The solenoid coil with 20 turns has a better performance to detect the micro metal debris. This simulation shows that the detecting performance of a sensor is related to its parameters such as the size, turns, style of enwinding.The optimization of coils for the detection of metal debris with 100 μm in size is presented at last. © (2013) Trans Tech Publications, Switzerland.

Keyword:

Metals Sensors Inductance Debris Information technology

Author Community:

  • [ 1 ] [Zhang, Fang Zhou]Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Liu, Ben Dong]Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Wu, Yu De]Beijing University of Technology, Beijing, 100124, China
  • [ 4 ] [Li, De Sheng]Beijing University of Technology, Beijing, 100124, China

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Source :

ISSN: 1022-6680

Year: 2013

Volume: 791

Page: 861-865

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 8

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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