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Durable Testing and Analysis of a Cleaning Sieve Based on Vibration and Strain Signals.

Authors :
Ma, Zheng
Zhang, Zelin
Zhang, Zhaohui
Song, Zhiqiang
Liu, Yanbin
Li, Yaoming
Xu, Lizhang
Source :
Agriculture; Basel; Dec2023, Vol. 13 Issue 12, p2232, 21p
Publication Year :
2023

Abstract

Cleaning is one of the most important steps in the harvesting process, and the prolonged and high-load operation of the vibrating sieve can decrease its reliability. To uncover the structural flaws of the cleaning sieve in the crawler combine harvester and establish a foundation for quality inspection, this paper proposes a method for durability testing and analysis using vibration and strain signals. Via the modal analysis of the cleaning sieve, the most susceptible areas for fault signals are identified. Subsequently, a specialized test rig exclusively designed for the examination of the durability of the cleaning sieve is constructed. After following 96 h of uninterrupted operation, the vibration plate of the cleaning sieve sustains damage, resulting in atypical noise. A signal analysis reveals that the primary vibration signal of the cleaning sieve primarily consists of a fundamental frequency of 5 Hz, corresponding to the driving speed, as well as a frequency doubling signal of 50 Hz. After the occurrence of damage, the peak amplitude of the received vibration signal increases by over 86.3%. Furthermore, the strain gauge sensor situated on the support plate of the rear sieve detects anomalous signals with frequencies exceeding 300 Hz, which are accompanied by a considerable rise in the power spectral density. This research has significant importance for enhancing the service life of the cleaning sieve and optimizing the overall machine efficiency. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20770472
Volume :
13
Issue :
12
Database :
Complementary Index
Journal :
Agriculture; Basel
Publication Type :
Academic Journal
Accession number :
174399929
Full Text :
https://doi.org/10.3390/agriculture13122232