A Mathematical Model for Predicting the Internal Parameters of Ball Mill
| Periodical | Advanced Materials Research (Volume 454) |
|---|---|
| Main Theme | Powder Technology & Application IV |
| Edited by | Shujuan Dai |
| Pages | 151-156 |
| DOI | 10.4028/www.scientific.net/AMR.454.151 |
| Citation | Ze Hong Wang et al., 2012, Advanced Materials Research, 454, 151 |
| Online since | January, 2012 |
| Authors | Ze Hong Wang, Yue Xin Han, Bing Chen Chen |
| Keywords | Ball Mill, Internal Parameters, Mathematical Model, Tri-Sensor Measurement Method |
| Price | US$ 28,- |
The internal parameters of ball mill are very important in the grinding process and have significant impact on the grinding results. Accurate measurement of the internal parameters of ball mill is crucial and indispensable for optimization and control of grinding process. In this paper, a novel tri-sensor measurement method was used to measure the external signals (i.e., bearing pressure, sound intensity and power consumption) of ball mill. Mathematical models, which link the external signals of ball mill with its internal parameters, were established to predict the internal parameters of ball mill. Experimental results showed that the mathematical models could directly predict the internal parameters of ball mill once the external signals were obtained. The tri-sensor measurement method and the mathematical models proposed in this paper provided a new way and solid basis for optimization and control of ball milling.
