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Estimation of froth flotation recovery and collision probability based on operational parameters using an artificial neural network |
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| Authors: | Saeed Chehreh Chelgani Behzad Shahbazi Bahram Rezai |
| Affiliation: | 1. Surface Science Western, Research Park, University of Western Ontario, London Ont. N6G 0J3, Canada 2. Mining Engineering Department, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran 3. Amirkabir University of Technology, Tehran 158754413, Iran |
| Abstract: | An artificial neural network and regression procedures were used to predict the recovery and collision probability of quartz flotation concentrate in different operational conditions. Flotation parameters, such as dimensionless numbers (Froude, Reynolds, and Weber), particle size, air flow rate, bubble diameter, and bubble rise velocity, were used as inputs to both methods. The linear regression method shows that the relationships between flotation parameters and the recovery and collision probability of fl... |
| Keywords: | flotation recovery collision probability neural networks |
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