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- Title
Reliability analysis and optimization of the hammer rotor of forage crusher under multiple failure modes.
- Authors
Zhai, Zhiping; Yuan, Donghai; Lan, Yuezheng; Zhao, Haixu
- Abstract
During the operation of a forage crusher, the common issues usually faced are shorter mean time between failures and low reliability. The hammer rotor, a critical component, is prone to fatigue fracture, hammer wear, violent vibration of the rotor system caused by uneven wear of the hammers, and other issues that reduce the machine's service life and reliability. In order to avoid failure modes within the design life of the forage crusher and improve its reliability, the functional functions of the fatigue fracture failure, hammer wear failure, and resonance failure modes were established, the marginal distribution functions for each individual failure mode were computed, and the reliability model of the hammer rotor under multiple failure modes is constructed based on the correlation degree between the failure modes. On this basis, the reliability of the forage crusher is improved by optimizing the structure and working parameters. Before optimization, the fatigue reliability, wear reliability, and vibration reliability of the hammer rotor are 0.878, 0.94, and 0.248, respectively, and the reliability of the hammer rotor under multiple failure modes is 0.2116. After optimization, the fatigue, wear, and vibration reliability are 0.979, 0.9997, and 0.932, respectively. The reliability of the hammer rotor under multiple failure modes is 0.923, which reduces the probability of failure within the design life and meets the requirement that the reliability of key parts of agricultural and animal husbandry machinery is not less than 90 %. This study validates the reliability models and multi-objective optimization results and serves as a reference for forage crusher structural reliability design and optimization.
- Subjects
FAILURE mode &; effects analysis; HAMMERS; MEAN time between failure; MARGINAL distributions; STRUCTURAL reliability; SOFTWARE reliability; SERVICE life
- Publication
Journal of Mechanical Science & Technology, 2023, Vol 37, Issue 10, p5103
- ISSN
1738-494X
- Publication type
Article
- DOI
10.1007/s12206-023-0915-6