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)

Sensors and Materials, Volume 33, Number 5(2) (2021)
Copyright(C) MYU K.K.
pp. 1657-1673
S&M2562 Research Paper of Special Issue
Published: May 12, 2021

Integral-stiffness-based Optimization Method for Designing a Computer Numerically Controlled Grinding Machine [PDF]

Kun-Chieh Wang, Chi-Hsin Yang, Long Wu, Zijian Ai, and Hai-Lian Hong

(Received October 21, 2020; Accepted March 22, 2021)

Keywords: optimal structure design, machine tools, finite element analysis, grinding machine, vibration sensor, displacement sensor, machine stiffness

New methods of optimizing the design of machines with high stiffness have attracted much attention. Conventionally, machine designers have carried out optimization by attempting to minimize static deformation or maximize static stiffness. Nevertheless, the dynamic behavior of the machine structure plays a deterministic role in the final machining precision. Therefore, we propose in this study an integral-stiffness-based optimization method for designing the optimal structure of a computer numerically controlled (CNC) grinding machine. The proposed novel optimization methodology includes a prototype designed on the basis of know-how and the determination of control parameters based on the mode shape, Taguchi’s experimental method based on finite element analysis (FEA), and grey relational analysis (GRA). The target parameters in the optimization are static stiffness, first natural frequency, and dynamic stiffness. Results reveal that the optimal structure of a CNC grinding machine obtained by merely considering the static stiffness exhibits good performance when applying static forces but inferior performance when applying dynamic forces. A good optimization approach for designing a high-precision machine should integrally consider the static stiffness as well as the dynamic stiffness. With our proposed methodology, machine designers can design an optimal high-stiffness structure of a CNC grinding machine more efficiently and accurately.

Corresponding author: Chi-Hsin Yang

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Kun-Chieh Wang, Chi-Hsin Yang, Long Wu, Zijian Ai, and Hai-Lian Hong, Integral-stiffness-based Optimization Method for Designing a Computer Numerically Controlled Grinding Machine , Sens. Mater., Vol. 33, No. 5, 2021, p. 1657-1673.

Forthcoming Regular Issues

Forthcoming Special Issues

Special Issue on Advanced Methods and Devices for Remote Sensing
Guest editor, Lei Deng and FuZhou Duan (Capital Normal University, Beijing)

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 Biological Odor Sensing System and Their Applications
Guest editor, Takeshi Sakurai (Tokyo University of Agriculture)

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

Special Issue on Sensing Technologies and Their Applications (II)
Guest editor, Rey-Chue Hwang (I-Shou University)
Call for paper

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