Temperature effect of dynamic mechanical properties of rubbers on identation rolling resistance of conveyor belts
JI Bin
YAO Yanping
ZHOU Lidong
HAN Gang
ZHANG Wenchao
Abstract:[Objective]Aiming at the problem that the indentation rolling resistance of belt conveyors is significantly affected by temperature and the existing calculation models have insufficient consideration of the temperature-frequency coupling effect,the variation law of dynamic mechanical parameters of rubber with temperature and its action mechanism on indentation rolling resistance are revealed,so as to provide reference for energy-saving design and operation optimization of conveyors.[Methods]Firstly,a BP neural network was used to predict the dynamic mechanical parameters of rubber in the range of-20℃to 40℃to make up for the deficiency of test data at low temperature;Secondly,a mechanical model of indentation rolling resistance considering transient energy loss was established to improve the viscoelastic mechanical analysis system;Thirdly,the model was solved by iterative algorithm,and numerical simulation was carried out with Matlab software to systematically explore the influence law of temperature,belt speed and load pressure on the resistance;Finally,the fitting accuracy of the model was verified to ensure the reliability of the research results.[Results]Under constant working conditions,the indentation rolling resistance presents a non-monotonic segmented change with temperature,which increases with the rise of temperature in the range of-20℃to 5℃and decreases with the rise of temperature in the range of 5℃to 40℃,with the peak value appearing at about 5℃.When the belt speed is 6 m/s and the load pressure is 8 kN,the maximum resistance reaches 45 N.The fitting accuracy of the model is up to 0.999,which can accurately reflect the nonlinear influence of each parameter on the resistance,and provides a quantitative basis for energy consumption optimization of conveyor belts.
Keywords:Conveyor beltTemperature effectIndentation rolling resistanceDynamic mechanical parameterBP neural network
Publication Date:2026-04-30
Online Publishing Date:2026-09-12(First online date of this platform, not the publication date of the document)
Pages:8( 75-82 )
