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author:

Hu, Gang (Hu, Gang.) [1] | Xia, Zihan (Xia, Zihan.) [2] | Yin, Wuliang (Yin, Wuliang.) [3] | Huang, Ruochen (Huang, Ruochen.) [4] | Shen, Jialong (Shen, Jialong.) [5] | Liu, Shiyu (Liu, Shiyu.) [6] | Zhang, Ronghua (Zhang, Ronghua.) [7]

Indexed by:

EI Scopus SCIE

Abstract:

The measurement of metallic spherical objects in various industrial applications has a significant role in guaranteeing safety and product quality, which can be realized by the eddy-current testing (ECT) technique without contact. In this study, for the measurement of thickness and radius of nonmagnetic spherical shells, the original analytical model is simplified according to the asymptotic forms of the modified spherical Bessel functions. The simplified model contains only elementary functions, and can therefore accelerates the sphere property estimation by employing the optimization approach based on the Newton-Raphson method. In numerical simulation and experimental study, the proposed method can provide accurate spherical shell radii with less computational time compared with the original analytical model.

Keyword:

Analytical models Coils Computational modeling Eddy current testing (ECT) Inductance Inductance measurement multi-frequency testing optimization Sensors spherical radius measurement Testing

Community:

  • [ 1 ] [Hu, Gang]Univ Manchester, Sch Elect & Elect Engn, Manchester M13 9PL, England
  • [ 2 ] [Xia, Zihan]Univ Manchester, Sch Elect & Elect Engn, Manchester M13 9PL, England
  • [ 3 ] [Yin, Wuliang]Univ Manchester, Sch Elect & Elect Engn, Manchester M13 9PL, England
  • [ 4 ] [Huang, Ruochen]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou 350108, Peoples R China
  • [ 5 ] [Shen, Jialong]Guilin Univ Technol, Key Lab New Proc Technol Nonferrous Met & Mat, Minist Educ Guangxi, Guilin 541004, Peoples R China
  • [ 6 ] [Shen, Jialong]Guilin Univ Technol, Collaborat Innovat Ctr Explorat Nonferrous Met Dep, Guilin 541004, Peoples R China
  • [ 7 ] [Liu, Shiyu]Tiangong Univ, Sch Control Sci & Engn, Tianjin 300387, Peoples R China
  • [ 8 ] [Zhang, Ronghua]Tiangong Univ, Sch Artificial Intelligence, Tianjin 300387, Peoples R China

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Source :

IEEE SENSORS JOURNAL

ISSN: 1530-437X

Year: 2023

Issue: 9

Volume: 23

Page: 9402-9409

4 . 3

JCR@2023

4 . 3 0 0

JCR@2023

ESI Discipline: ENGINEERING;

ESI HC Threshold:35

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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