S&M Young Researcher Paper Award 2020
Recipients: Ding Jiao, Zao Ni, Jiachou Wang, and Xinxin Li [Winner's comments]
Paper: High Fill Factor Array of Piezoelectric Micromachined
Ultrasonic Transducers with Large Quality Factor

S&M Young Researcher Paper Award 2021
Award Criteria
Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

Instructions to authors
English    日本語

Instructions for manuscript preparation
English    日本語


 Sensors and Materials
 1-23-3-303 Sendagi,
 Bunkyo-ku, Tokyo 113-0022, Japan
 Tel: 81-3-3827-8549
 Fax: 81-3-3827-8547

MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.

MYU Research

(proofreading and recording)

(translation service)

The Art of Writing Scientific Papers

(How to write scientific papers)
(Japanese Only)

Copyright(C) MYU K.K.
S&M2706 Research Paper of Special Issue

Monitoring of Grinding Status of Alumina Grinding Wheel Based on Short-time Fourier Transform

Kun-Ying Li, Yue-Feng Lin, Ming-Yi Tsai, I-Cheng Chiu, and Jyun-Yan Chen

(Received May 11, 2021; Accepted September 14, 2021)

Keywords: aluminum oxide grinding wheel, accelerometer, short-time Fourier transform

In this study, an accelerometer was installed on a computer numerical control (CNC) grinding machine, and the vibration signal of the accelerometer was processed by short-time Fourier transform (STFT) to observe the correlation between the wear behavior of the grinding wheel and the characteristic frequency during the grinding process. Two sets of accelerometers were adopted to collect the vibration signal, which was transformed to a time-frequency diagram by STFT. From the time-frequency diagram, it was deduced that the frequency bands of the grinding wheel and the workpiece were 500–700 Hz and 1200–1280 Hz, respectively. According to the comparison between the frequency band and the time-frequency diagram of the sensing signal at the workpiece with surface roughnesses R_a and R_Z, when the spectral energy increased, the surface roughness of the workpiece increased significantly, the self-sharpening was completed at the same time, and the increased surface roughness of the workpiece was maintained.

Corresponding author: Ming-Yi Tsai

Forthcoming Regular Issues

Forthcoming Special Issues

Special Issue on Intelligent Manufacturing and Application Technology Part 1
Guest editor, Cheng-Chi Wang (National Chin-Yi University of Technology)
Call for paper

Special Issue on Smart Sensing Technologies and Their Application in Forest Management and Engineering
Guest editor, Byoungkoo Choi (Kangwon National University)
Call for paper

Special Issue on Sensors, Materials, and Computational Intelligence Algorithms in Robotics and AI Engineering
Guest editor, Pitikhate Sooraksa (King Mongkut’s Institute of Technology Ladkrabang)
Call for paper

Special Issue on Microfluidics and Related Nano/Microengineering for Medical and Chemical Applications
Guest editor, Yuichi Utsumi (University of Hyogo)
Call for paper

Special Issue on International Conference on BioSensors, BioElectronics, BioMedical Devices, BioMEMS/NEMS and Applications 2019 (Bio4Apps 2019) (2)
Guest editor, Hirofumi Nogami and Masaya Miyazaki (Kyushu University)
Conference website

Special Issue on High-sensitivity Sensors and Sensors for Difficult-to-measure Objects
Guest editor, Ki Ando (Chiba Institute of Technology)
Call for paper

Copyright(C) MYU K.K. All Rights Reserved.