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During the coal flotation process, high ash coal fines are carried into foam, although process optimization can reduce ash content.
According to the results, it can be concluded that the soft computing models can overcome the complexity of process and be used as an expert system to control, and optimize parameters of coal flotation process.
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In this investigation, the coal flotation procedure was optimized and the time of flotation has been found by which energy consumption would be significantly reduced.
Coal flotation is a nonlinear process with extreme static characteristics and dynamics described by the first order inertia with time delays.
Coal flotation is a complicated multifaceted separation process and many measurable and unmeasurable variables can be considered for its modeling.
Therefore, a comparison of the performances of air and oily bubble flotation indicated that the oily bubble flotation process was feasible for upgrading low rank coal.
This paper suggests an alternative method for coal flotation which has a significant effect on quality, coal production processes and plant design.
In the coal industry, flotation continues to be a challenge in many coal preparation plants as operators need to have a sound understanding of the flotation process in order to trouble-shoot and optimize the performance of the whole plant.
Coal flotation kinetic was studied and the results show that the optimum time is 2 min to complete the flotation process.
In this study, a novel flotation process, oily bubble flotation, was proposed and evaluated using samples of low rank coal.
Conducting a model for the coal flotation would be beneficial to fully understand operations of units, train operators and control the whole process.
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