| Titre : | Modeling of bubble surface area flux in an industrial rougher column using artificial neural network and statistical techniques |
| Auteurs : | M. Massinaei, Auteur ; R. Doostmohammadi, Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | Minerals engineering (Vol. 23 N° 2, Janvier 2010) |
| Article en page(s) : | pp. 83-90 |
| Note générale : | Génie Minier Métallurgie |
| Langues : | Anglais |
| Index. décimale : | 622 (Industrie minière) |
| Tags : | Froth flotation Flotation machines Modeling Neural networks |
| Résumé : |
Previous studies in mechanical and column flotation cells have shown that bubble surface area flux (Sb) is an appropriate indicator of gas dispersion in a flotation cell which has a relatively strong correlation with flotation rate constant.
In the present investigation, based on extensive tests conducted in an industrial Metso Minerals CISA flotation column (4 m in diameter and 12 m in height) in a rougher circuit, Sb as a function of the most significant operating variables which affect gas dispersion in a flotation column (i.e. superficial gas velocity, slurry density (solids%) and frother dosage/type) was modeled using artificial neural network (ANN) and statistical (non-linear regression) techniques. The models were developed taking into consideration a data set consisting of 82 experimental tests conducted in an industrial rougher column (at a copper concentrator in Iran) operating under a variety of experimental conditions. This paper outlines the development of the models and validation using a number of randomly selected datasets. Limitations of the present models are discussed and comments and recommendations on further investigations are given. |
| DEWEY : | 622 |
| ISSN : | 0892-6875 |
| En ligne : | http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6VDR-4XDKC9K-1&_user=6909337&_coverDate=01%2F31%2F2010&_rdoc=2&_fmt=high&_orig=browse&_srch=doc-info%28%23toc%235989%232010%23999769998%231550282%23FLA%23display%23Volume%29&_cdi=5989&_sort=d&_doca |
