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Zhiwei Zeng

Researcher at Xiamen University

Publications -  53
Citations -  784

Zhiwei Zeng is an academic researcher from Xiamen University. The author has contributed to research in topics: Eddy current & Finite element method. The author has an hindex of 13, co-authored 47 publications receiving 703 citations. Previous affiliations of Zhiwei Zeng include Michigan State University.

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Pulsed Eddy-Current Based Giant Magnetoresistive System for the Inspection of Aircraft Structures

TL;DR: In this paper, the authors describe the design and development of a non-destructive inspection system that uses pulse excitation of a planar multiline coil to generate a transient field that is detected via a giant magnetoresistive (GMR) field sensor.
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Element-free Galerkin method for static and quasi-static electromagnetic field computation

TL;DR: This paper presents an adaptation of the scheme to the analysis of electromagnetic problems in both the static and quasi-static regimes and validates the proposed model against both analytical solutions and benchmarked FEMs.
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Reduced Magnetic Vector Potential Formulation in the Finite Element Analysis of Eddy Current Nondestructive Testing

TL;DR: The use of reduced magnetic vector potential (RMVP) in the three-dimensional finite element analysis of eddy current nondestructive testing has demonstrated great flexibility, accuracy, and efficiency in case of coil excitation as mentioned in this paper.
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A GMR-Based Eddy Current System for NDE of Aircraft Structures

TL;DR: In this article, the authors developed a flexible and fast real-time inspection system using giant magnetoresistive (GMR) field sensors, compared with finite element model (FEM) model simulations and signals acquired using traditional data acquisition methods.
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A Parametric Study of Magneto-Optic Imaging Using Finite-Element Analysis Applied to Aircraft Rivet Site Inspection

TL;DR: A three-dimensional finite-element model of Maxwell's equations, utilizing the A-V formulation for numerical simulation of the MOI operation is presented, used to predict quantitative values of field distributions that produce the binary magneto-optic images of subsurface fatigue cracks at rivet sites in an aluminum airframe structure.