Abstract
With the development of economy, industry and manufacturing industry play an important role in China’s economy. As the most extensive machinery in the industry and manufacturing industry, the development of crane will inevitably affect the development of the whole industry, so how to improve the performance of crane and how to carry out a wide range of analysis has become the current problem to be solved. Starting from the crane, this paper focuses on the study of the rigid dynamic load coefficient when the series resistance of the lifting mechanism of the crane starts, and analyzes the influence of these coefficients on the performance of the crane. In this paper, the big data analysis method is put forward firstly, and the change of rigid dynamic load coefficient when the chain resistance of crane hoisting mechanism starts in China’s industry and manufacturing industry in the past 10 years is analyzed. Secondly, the concept and classification of crane are briefly summarized. The crane is mainly divided into two types, one is tire crane, the other is bridge crane. Then this paper establishes the system model and the mathematical model of the crane lifting transmission system. Through the analysis of the system model, we can get the relationship between the rigid dynamic load coefficient α and φ, and the relationship between β and φ. Their relationship is that the growth rate of the rigid dynamic load is slowed down after α is greater than 5, and the starting torque multiple and the rigid dynamic load coefficient are linear.
Published Version
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