journal article·2022-11-22Open access

Failure Analysis of Gantry Crane Slewing Bearing Based on Gear Position Accuracy Error

Jianbo Xiao, Yiming Wu, Wenxing Long, Chang Xu

Applied Sciences· Volume 12· Issue 23

Abstract

In large ports, shipyards, and other places of handling operations, gantry cranes are widely used. As a typical slewing crane, its slewing-bearing large gear ring is prone to tooth breakage problems due to the existence of long-term complex alternating load. This paper presents a new fault analysis method based on the gear position accuracy error. Firstly, the relative displacement relationship between the pinion and large gear ring and the large gear ring gear teeth stress nature were analyzed through the establishment of the rotary table structure, slewing bearing, and cylinder structure assembly finite element model. In addition, a dynamic data acquisition instrument and resistance strain gauge data were separately applied to analyze the pinion and large gear ring displacement along with cylinder structure stress for the test position accuracy error. The final results show that under the frontal load condition, the horizontal displacement deviation of the pinion gear and the large gear ring is approximately 2.9 mm, which leads to an increase of 23% in the stress value of the upper tooth root at the engagement of the large gear ring, causing extrusion and accelerating the fatigue and even fracture of the gear teeth.
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Research context

OpenAlex topics: Gear and Bearing Dynamics Analysis · Mechanical stress and fatigue analysis · Engineering Structural Analysis Methods

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China

School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan 430070, China

China Railway Construction Heavy Industry Corporation Limited, Changsha 410100, China

School of Art and Design, Wuhan University of Technology, Wuhan 430070, China

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