The dry magnetic separator may be of a variety of types including but not limited to separators made from permanent magnets, electromagnets, and superconducting magnets, each of which may also employ triboelectric and/or aerodynamic means to enhance the separation of the dust material. The cleaned product of the dry magnetic separator is combined with the cleaned product of the air jig thereby improving both the quality and the quantity of the unmodified air jig product.An improved air jig apparatus method is disclosed in which a dry magnetic separator is used to separate paramagnetic and ferromagnetic minerals from the dust component of coal cleaned with the air jig.
As a result there is no need of people in the operating room.The electric control system adopts centralized controlled, so the mill is with high degree of automation.
Zenith is leading manufacturer of mining equipment , every year, there are amount of mining equipment installed in Ethiopia with high reputation . with the developing of Ethiopia technology and economy, more and more businessmen begin to invest in limestone processing .so there are great demands for mining equipment .As we know, limestone can be turned into cement, painting, construction materials, ceramic, medicine and so on.
Besides, the oil can also bring the impurities out along with the flowing and circulation of the lubricating oil. At the same time, the lubricating oil can take away the heat produced by friction.Oil lubrication system has remarkable advantages because it can provide enough oil pressure to make sure the various lubricating [points in crusher get lubricated timely. In this case, oil lubrication can effectively lubricate the crusher and reduce the friction, wear of wear-resistant parts, as well as extend the service life of crusher.
In the control review section, the control part will be investigated for the paper. The DBN model has attained wide-range accurate results as the load varied between 525 MW up to 950 MW in the validation phase with very small RMSE. Deep-belief network (DBN) has been used to capture the process of 1000 MW USC plant. The motivation behind the work has been to control the pressure, enthalpy, and the generated power of the USC unit process via economical model predictive control. Although the neural fuzzy proposed in  has been more accurate in terms of the values of RMSE, the conventional ANNs experience complex computations when dealing with enormous data like what is normally gathered for USC power plants and DNN has proved its superiority for handling big data with ease.  have constituted DNN for modeling and control of 1000 MW USC unit.Cui et al. Thereby, deep-belief network has been established with 7 hidden layers to contain the 1000 MW USC process and the RMSE have been compared with multi-linear state-space models identified by subspace algorithm.
22. It can be a grizzly machine, grizzly hopper(straight wall) or a flared rear hopper that opens where the feed hydraulically rises towork position.SCREENING5 x 12 Deck ScreenIt is our most popular Screen. It has a large open throat feed hopper with anextremely controllable drive system.
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