Eddy current testing probe optimization using a parallel genetic algorithm | Zendy

Ivaylo Dolapchiev | Zendy; Kostadin Brandisky | Zendy; Petar Ivanov | Zendy

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Eddy current testing probe optimization using a parallel genetic algorithm

Author(s) -

Ivaylo Dolapchiev,

Kostadin Brandisky,

Petar Ivanov

Publication year - 2008

Publication title -

serbian journal of electrical engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.133

H-Index - 5

eISSN - 2217-7183

pISSN - 1451-4869

DOI - 10.2298/sjee0801039d

Subject(s) - eddy current , electromagnetic coil , eddy current testing , sensitivity (control systems) , finite element method , genetic algorithm , algorithm , code (set theory) , computer science , electromagnetic field , electronic engineering , engineering , physics , electrical engineering , structural engineering , set (abstract data type) , machine learning , quantum mechanics , programming language

This paper uses the developed parallel version of Michalewicz's Genocop III Genetic Algorithm (GA) searching technique to optimize the coil geometry of an eddy current non-destructive testing probe (ECTP). The electromagnetic field is computed using FEMM 2D finite element code. The aim of this optimization was to determine coil dimensions and positions that improve ECTP sensitivity to physical properties of the tested devices

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