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Energy-Mass-Size balance model for dynamic control of a wet open circuit grinding mill: Part II–Simulation tests

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dc.contributor.author Makokha, Augustine B.
dc.date.accessioned 2021-09-21T07:21:07Z
dc.date.available 2021-09-21T07:21:07Z
dc.date.issued 2016
dc.identifier.uri http://ir.mu.ac.ke:8080/jspui/handle/123456789/5201
dc.description.abstract A 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.iso en en_US
dc.publisher IJCER Online en_US
dc.subject Energy balance en_US
dc.subject Dynamic control en_US
dc.subject Grinding mil en_US
dc.title Energy-Mass-Size balance model for dynamic control of a wet open circuit grinding mill: Part II–Simulation tests en_US
dc.type Article en_US


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