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Study on Vibration Characteristics and Human Riding Comfort of a Special Equipment Cab
Joint Authors
Ren, Wu
Yu, Yi
Peng, Bo
Shen, Jiefen
Li, Yang
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-02-07
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Special equipment drivers often suffered from vibration which threatened their physical and mental health.
In order to study the riding comfort of a special equipment cab, a hammering experiment has been carried out on it by acceleration sensors.
According to the test results, the natural frequency has been calculated which was compared with the result analysis by the finite element method.
Next, the equipment operating condition test on a flat road was done.
The vibration characteristics of the whole vehicle were obtained later.
The results show that the cab vibration and the finite element results agree well, but the natural frequency of the cab is close to the vibration frequency of the human body.
And this is not conducive to long-term operation of the drivers.
In order to improve the human operational comfort, it is necessary to reduce its natural frequency during the cab structure design process.
The research in this paper can provide help for the similar human-machine operation comfort study and product design.
American Psychological Association (APA)
Ren, Wu& Peng, Bo& Shen, Jiefen& Li, Yang& Yu, Yi. 2018. Study on Vibration Characteristics and Human Riding Comfort of a Special Equipment Cab. Journal of Sensors،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1201924
Modern Language Association (MLA)
Ren, Wu…[et al.]. Study on Vibration Characteristics and Human Riding Comfort of a Special Equipment Cab. Journal of Sensors No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1201924
American Medical Association (AMA)
Ren, Wu& Peng, Bo& Shen, Jiefen& Li, Yang& Yu, Yi. Study on Vibration Characteristics and Human Riding Comfort of a Special Equipment Cab. Journal of Sensors. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1201924
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1201924