cement mill optimization

vertical roller mill optimisation

vertical roller mill optimisation

One of the new topics covered in the Technical Workshop at the Cemtech conference and exhibition in Dubai was the optimisation of vertical roller mills (VRMs). Here Dr Clark considers the grinding action of the VRM and the importance of dam ring adjustment and gas flow through the mill. By Dr Michael Clark, UK.

Vertical roller mills (VRMs) have become the equipment of choice for raw and solid fuel grinding in cement factories. Increasingly modern cement plants also use VRMs for cement grinding. However, opportunities for the optimisation of VRMs are less obvious than with ball mills as all processes of grinding, drying, classification and regrinding take place within the body of the mill.

The set-up of the VRM does not provide opportunities to take samples to assess the performance of the separator and the recirculating load in the mill, or the progress of size reduction along the grinding path.

cement mill optimization - page 1 of 1

cement mill optimization - page 1 of 1

I HAVE A POLYSIUS BALL MILL WITH CAPACITY 110 TPH. NORMALLY I GET BLAINE AT MILL OUTLET AROUND 200 WHILE MY PRODUCT BLAINE TARGET IS 400 . SEPARATOR REJECT BALINE IS AROUND 90 . I THINK I SHOULD PUT MORE SMALLER GRINDING MEDIA IN II CHAMBER TO INCREASE THE FINENESS AT MILL OUTLET TO OBTAIN 230 TO 240 BLAINE. SHOULD I INCREASE 17 MM MEDIA % IN II CHAMBER ? THIS WILL REDUCE THE RECIRCULATION WHICH IS AROUND 220 AT 100 TPH OF PRODUCT & HENCE I SHALL BE ABLE TO INCREASE OUTPUT ALSO WITH INCREASE IN PRODUCT BLAINE. AT PRESENT I AM GETTING 370 TO 380 BLAINE IN PRODUCT. MY FILLING % IN II CHAMBER IS AROUND 24% . PLEASE DO SUGGEST. ENGR

optimization of cement manufacturing process - sciencedirect

optimization of cement manufacturing process - sciencedirect

Cement manufacturing process is now operated with the aid of various control systems, such as raw meal composition control, kiln control and mill control. Those systems have greatly contributed to achieve uniformity of quality as well as cost reduction of cement. But from the viewpoint of optimization of cement manufacturing operation, it is desirable to build an integrated control system, which supervises and directs each control system.

One of the biggest problems in process control of cement manufacturing was that the time lag of quality judgement is very long, because one of the most important indexes of quality is 28-day compressed strength of cement mortar. But this problem was practically solved by the appearance of Ono-method.

From our experience and technical knowledge accumulated through the use of Ono-method for long years, we have succeeded in developing a real-time quality prediction system, which is very effective for process control, on the basis of fundamental concept of Ono-method.

By putting the quality prediction system at the center of the control systems and making use of it for feedback control and feedforward control, it has become possible to establish an integrated control system for optimizing cement manufacturing operation.

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