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Research on dynamic characteristics and identification method of local defect on the roll surface

Wu, Shengli, Xing, Wenting, Liu, Ying and Shao, Yimin 2021. Research on dynamic characteristics and identification method of local defect on the roll surface. Engineering Failure Analysis 121 , 105063. 10.1016/j.engfailanal.2020.105063
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Abstract

Local defects are generally produced on the surfaces of roll during long-term work, which not only causes abnormal vibration of the roll mill but also affects the quality of the produced steel strips. In particular, identifying the defects on a well-lubricated roll surface is a challenge. Therefore, a time-varying oil film stiffness model is proposed based on the elastohydrodynamic lubrication theory. A Sendzimir twenty-high roll mill model was developed and combined with the time-varying oil film stiffness model to analyse the vibration characteristics of the roll mill. Simultaneously, a new method for real-time identification of the defect sizes during the rolling process was proposed. Agreement between the simulated and experimental results was used to validate the effectiveness of the proposed model. The changes to the oil film stiffness and roll mill vibration characteristics for different defect sizes on the roll surface are thus analyzed to provide theoretical support for the identification of the local defects.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: Elsevier
ISSN: 1350-6307
Date of First Compliant Deposit: 5 January 2021
Date of Acceptance: 4 November 2020
Last Modified: 20 Jan 2021 15:24
URI: http://orca.cf.ac.uk/id/eprint/137333

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