Monitoring and analysis of ball milling process based on acoustic signal inversion

Abstract

Abstract In order to understand the real-time material particle size inside the ball mill tank in the current actual ball mill process, the process for sampling and detection should be paused, which is very time-consuming and laborious. Through the real-time monitoring of the acoustic signals, the particle size of the materials in the tank can be indirectly detected according to the change of the acoustic signals so that the ball mill can be more efficient, energy-saving and convenient. In this paper, a method of collecting, analyzing and processing acoustic signals was designed by using acoustic signal collecting equipment and computer software in the process of ball grinding. The results show that the peak number of acoustic signal varies with the particle size of ball mill, and there is an obvious functional relationship between them. The ball milling process can be monitored and improved based on acoustic signal inversion.