Abstract
This paper presents a regression model for prediction of idler rotational resistance on belt conveyor. The advantage of the regression model is that it is created according to the real experimental measurement. Besides, the predicted model corresponds with real operational parameters, such as radial force, rotational speed and measurements, conducted via using a laboratory test facility; several criteria have been used to verify the presented regression model. Finally, by analyzing the regression model combined with influence of radical force and rotational resistance on idler rotational resistance, this paper presents an operable control ideal to achieve energy-saving.
Highlights
Belt conveyor is the most popular type of continuous bulk material transport system
Rotational speed n and radical force Pr have a compact link with idler rotational resistance
Compared with the effect of radical force on idler rotational resistance, the influence of rotational speed is principal that infers speed control is a better choice
Summary
Belt conveyor is the most popular type of continuous bulk material transport system. With the gradual popularization of pipe belt conveyor, energy consumption should be considered. Keywords Regression model, measurement, idler rotational resistance, test facility, radical force, rotational speed Speed control acts as an effective way to improve energy efficiency of belt conveyor;[1,2,3] in order to design excellent speed control algorithm, it is indispensable to establish a regression model of idler rotational resistance.
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