Young Researcher Paper Award 2023
🥇Winners

Notice of retraction
Vol. 34, No. 8(3), S&M3042

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

Template
English

Publisher
 MYU K.K.
 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)


MYU K.K.
(translation service)


The Art of Writing Scientific Papers

(How to write scientific papers)
(Japanese Only)

Sensors and Materials, Volume 36, Number 3(4) (2024)
Copyright(C) MYU K.K.
pp. 1163-1177
S&M3589 Research Paper of Special Issue
https://doi.org/10.18494/SAM4728
Published: March 29, 2024

Use of Finite Element Method Software to Assess the Safety of a Newly Designed Electric Motorcycle Frame [PDF]

Hong-Mei Dai, Bo-Hao Chen, Chao-Ming Hsu, Chiang-Lung Lin, Hsien-Wei Tseng, and Cheng-Fu Yang

(Received October 20, 2023; Accepted February 26, 2024)

Keywords: electric motorcycle, frame, finite element analysis software, ANSYS

Two distinct approaches are available for scrutinizing the impact of diverse loads and the full-load capacity, modal characteristics, and fatigue life of an electric motorcycle frame. The initial method entails affixing stress sensors directly to the frame, whereas the second method leverages finite element method (FEM) software to conduct simulations. In this particular study, the simulation approach was adopted, and in this paper, the feasibility of establishing an analytical system for assessing an electric motorcycle frame was determined through the utilization of FEM software tools such as Visual Basic (VB) and ANSYS Parametric Design Language (APDL). Through the use of simulation analysis, we aimed to explore potential structural defects and provide directions for potential modifications, ultimately obtaining an electric motorcycle frame design that complies with regulations and exhibits improved performance. We first utilized computer-aided design software to create the motorcycle frame and generate a geometric model. Following this, FEM analyses were conducted to evaluate a prototype of the innovative electric motorcycle frame design. These analyses encompassed modes of force transmission in left and right bending moments, front and rear torques, and the results of postcollision deformation of the electric motorcycle frame. These analyses were carried out under specific conditions stipulated by the Vehicle Testing Center, covering a range of load conditions with various degrees of deformation and strength. This allowed us to assess whether the frame structure complies with regulatory standards.

Corresponding author: Chao-Ming Hsu and Cheng-Fu Yang


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

Cite this article
Hong-Mei Dai, Bo-Hao Chen, Chao-Ming Hsu, Chiang-Lung Lin, Hsien-Wei Tseng, and Cheng-Fu Yang, Use of Finite Element Method Software to Assess the Safety of a Newly Designed Electric Motorcycle Frame, Sens. Mater., Vol. 36, No. 3, 2024, p. 1163-1177.



Forthcoming Regular Issues


Forthcoming Special Issues

Special Issue on Applications of Novel Sensors and Related Technologies for Internet of Things
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Cheng-Fu Yang (National University of Kaohsiung)
Call for paper


Special Issue on Advanced Sensing Technologies for Green Energy
Guest editor, Yong Zhu (Griffith University)
Call for paper


Special Issue on Room-temperature-operation Solid-state Radiation Detectors
Guest editor, Toru Aoki (Shizuoka University)
Call for paper


Special Issue on International Conference on Biosensors, Bioelectronics, Biomedical Devices, BioMEMS/NEMS and Applications 2023 (Bio4Apps 2023)
Guest editor, Dzung Viet Dao (Griffith University) and Cong Thanh Nguyen (Griffith University)
Conference website
Call for paper


Special Issue on Advanced Sensing Technologies and Their Applications in Human/Animal Activity Recognition and Behavior Understanding
Guest editor, Kaori Fujinami (Tokyo University of Agriculture and Technology)
Call for paper


Special Issue on Signal Collection, Processing, and System Integration in Automation Applications
Guest editor, Hsiung-Cheng Lin (National Chin-Yi University of Technology)
Call for paper


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