scispace - formally typeset
Z

Zhilin Huo

Researcher at Beijing University of Technology

Publications -  5
Citations -  31

Zhilin Huo is an academic researcher from Beijing University of Technology. The author has contributed to research in topics: Electromagnetic acoustic transducer & Ultrasonic sensor. The author has an hindex of 2, co-authored 4 publications receiving 4 citations.

Papers
More filters
Journal ArticleDOI

A novel design of window function modulated meander-line-coils EMATs for unidirectional Rayleigh waves generation and sidelobes suppression

TL;DR: In this article, a new design of window function modulated electromagnetic acoustic transducers (EMATs) to generate unidirectional Rayleigh waves is proposed, which can be used for Rayleigh wave design and optimization to improve their defect detection capability.
Journal ArticleDOI

Development of an Omnidirectional SH 0 Mode Electromagnetic Acoustic Transducer Employing a Circumferential Periodic Permanent Magnet Array

TL;DR: In this paper, a new omnidirectional electromagnetic acoustic transducer employing a circumferential periodic permanent magnet array was proposed for generating and receiving shear-horizontal (SH) guided waves in an aluminum plate.
Journal ArticleDOI

Performance degradation detection of 12CrMoV steel by magneto-acoustic compound inspection method

TL;DR: In this paper, an advanced magneto-acoustic compound inspection method, in which pulsed eddy current and ultrasonic waves were obtained from a single electromagnetic acoustic transducer (EMAT) testing signal, was adopted.
Journal ArticleDOI

Numerical Decoupling Study of EMAT Testing Signal for Ferromagnetic Materials

TL;DR: In this article, a single detection of an electromagnetic acoustic transducer (EMAT), where ultrasonic waves were generated based on the coupling of the magnetostriction effect and the Lorentz force mechanism, when the EMAT was used to detect ferromagnetic materials was proposed.
Proceedings ArticleDOI

Research on classifier design of Chinese abstracts of postgraduate dissertations in library collection

TL;DR: This article extracted the abstracts of postgraduate dissertations as characteristic data X, label data Y was made based on the information of the school where the authors of the dissertation work in, and extracted abstracts collected in the library of the university were divided into eight categories, Y can take integer values from one to eight.