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|Title:||New sensor development for hydrocyclone overflow particle cumulative percent passing size online monitoring - a preliminary experimental investigation under dry condition|
|Citation:||Proceedings of the IMPC Asia Pacific 2022, 2022 / Batterham, R. (ed./s), vol.5/2022, pp.625-631|
|Publisher:||The Australian Institute of Mining and Metallurgy|
|Series/Report no.:||The Australian Institute of Mining and Metallurgy Publication Series; 5/2022|
|Conference Name:||IMPC Asia PAcific 2022 (22 Aug 2022 - 24 Aug 2022 : Melbourne, Australia + Online)|
|D Tang, L Chen, L Yang and E Hu|
|Abstract:||Online monitoring of particles cumulative percent passing (PCPP) for a target size at hydrocyclone overflow, compared with traditional offline methods, provides PCPP feedback in real time, and is advantageous in enabling energy-efficient comminution, increasing downstream flotation efficiency, and improving upstream resource knowledge. However, existing online approaches are generally costly and bespoke, and some are sensitive to operational changes. Therefore, this study proposes a new low-cost alternative based on accelerometer measurement for online PCPP monitoring in the overflow of hydrocyclones and provides a preliminary experimental investigation under dry condition. The proposed method uses a sensing probe inserted into the overflow pipe of a hydrocyclone to receive particle impact from the incoming slurry, with accelerometers attached to the probe and mounting frame outside the pipe for particle-probe impact detection. As a preliminary investigation before studying particle-probe impact events in slurry, tests under dry condition without fluids were conducted using dry sand particles in free fall from a fixed height. Accelerometer measurements are analysed in both time and frequency domains through root-mean-square (RMS) and fast Fourier transform (FFT). Results show that accelerometer measurements are useful in estimating mass flow rates, which are correlated to the accelerometer output amplitude RMS values in time domain, in a non-linear mapping. Different particle size classes can be identified by examining the accelerometer output amplitude at a known mass flow rate. Different particle size classes feature their distinct signature frequencies (SFs) that can be examined via FFT and the SF is found to be independent of the mass flow rate. The results imply that any PCPP changes can be detected by the change in the accelerometer output amplitude as well as a shift in SF, which demonstrates the effectiveness of using accelerometers to gauge changes in PCPP. Based on the current findings in dry condition, future work will investigate particle-probe impact events in slurry.|
|Rights:||© The Australian Institute of Mining and Metallurgy 2022|
|Appears in Collections:||Mechanical Engineering conference papers|
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