Please use this identifier to cite or link to this item: http://ir.mu.ac.ke:8080/jspui/handle/123456789/5201
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dc.contributor.authorMakokha, Augustine B.-
dc.date.accessioned2021-09-21T07:21:07Z-
dc.date.available2021-09-21T07:21:07Z-
dc.date.issued2016-
dc.identifier.urihttp://ir.mu.ac.ke:8080/jspui/handle/123456789/5201-
dc.description.abstractA simple dynamic model combining energy balance and population balance has been utilized to assess the dynamic response of the mill to changes in mill operational parameters for purpose of establishing a predictive control tool. The manipulated parameters are feed rate, feed % solids and ore hardness index while the response variables are mill power draw, mill temperature and mill product size distribution (d80). The results demonstrate a good dynamic response of the model to variations in mill operational parameters. Thus, the model could be integrated in the overall mill control scheme to assist mill operators and process engineers in timely decisions with regard to mill control.en_US
dc.language.isoenen_US
dc.publisherIJCER Onlineen_US
dc.subjectEnergy balanceen_US
dc.subjectDynamic controlen_US
dc.subjectGrinding milen_US
dc.titleEnergy-Mass-Size balance model for dynamic control of a wet open circuit grinding mill: Part II–Simulation testsen_US
dc.typeArticleen_US
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