Sag Mill Dynamics and Diagnostics: Case Studies Using Novel Noncontact Acoustic Measurement

- Organization:
- Canadian Institute of Mining, Metallurgy and Petroleum
- Pages:
- 10
- File Size:
- 1090 KB
- Publication Date:
- Jan 1, 2016
Abstract
The operation of grinding mills in an ore processing circuit is supported by monitoring the input and output variables. These can include the feed ore size distributions, ore feed and water addition rates. The outputs can include the discharge undersize density, oversize tonnage rate and the P80 of the discharge. The grinding mill performance is judged by the power draw, recycle rates and discharge grind size. Conditions inside the mill are inferred from loads cells or bearing pressures and past histories. An overall noise value is sometimes used to evaluate the load as well as the occurrence of excessive impacting of steel balls onto the liners/lifters of the mill. This paper presents results of the internal behaviour of a mill using non-contact stationary microphones located close to the mill outer shell (Pax, 2012). The noise generated by a mill can be attributed to a number of events that occur inside these mills and suitably analysed can provide real-time determinations of in-mill behaviour and can provide powerful insights into the operation of the primary comminution tumbling mills. The acoustically determined signals including a specific 'steel' signal, water hold-up, integrated area together with a classification of impact events. Specific results from case studies will show information of the trajectories inside a mill, steel to rock ratio as well as rheology effects. By incorporating a self-consistent understanding methodology for the in-mill processes from an array of microphones, the information can be used to diagnose the dynamic conditions inside a mill.
Citation
APA:
(2016) Sag Mill Dynamics and Diagnostics: Case Studies Using Novel Noncontact Acoustic MeasurementMLA: Sag Mill Dynamics and Diagnostics: Case Studies Using Novel Noncontact Acoustic Measurement. Canadian Institute of Mining, Metallurgy and Petroleum, 2016.