Dienstag, 11. Februar 2014

What Parameters Affect Working Efficiency of Jerking Table

Table type many, the method of classification is very much also.According to use points are: ore (2 ~ 0.074 mm) table and slime shaking table (0.074 mm), can be divided into the coarse sand sand table (2 ~ 0.5 mm) table and fine sand table (0.5 ~ 0.074 mm).According to the raw material to have a dressing table coal preparation and shaking table and so on.To by number of bed surface points are: single bed and multilayer wave bed.According to the installation way points are: located type wave bed and suspended bed. But do you know which parameters affect working efficiency of jerking table?

Particles on the jerking table (http://www.chinaquarry.com/products_show/shaking_table.html) by three perpendicular forces: the grain of gravity in the medium;Lateral water and slurry flow fluid power; The bed surface differential reciprocating motion.Located within the bed ditch mineral particle swarm in the role of the force, with a loose layer and moving points with two basic sorting movement. The bed of the type, the bed surface friction and bed surface Angle has important effect on separation process.

The parameter that affect working efficiency of jerking table is as follows: Feed concentration. Sorting process requires pulp with sufficient liquidity.Concentration increases, the lower bed loose degree, delamination resistance increased, make the material carrier speed along the longitudinal and lateral discharge speed decreases, causing the fan shaped zoning, dressing efficiency is lower, the tailings loss increases. Concentration is too small, bed loose degree increased, transverse speed, tailings losses will also increase. So the feed concentration affects both processing and recovery.Appropriate concentration should be determined by test. Feed concentration and feed particle size and silt content.Feed particle size is small, high silt content, smaller feed concentration should be adopted.Normal feed concentration is commonly 15% ~ 20%.

Due to the separation layer in the table to choose don't occupy the leading position, so the feed on the grain size of the best should be all mine abrasive density less than the density of small particles. Raw material through hydraulic classification can approximatively achieve such granularity of raw materials can be divided into different granularity levels at the same time, also to choose different structure forms of table and different operation parameters, this is the table to choose don't often to prepare hydraulic classification homework before the basic reason,

The parameter that affect working efficiency of jerking table: http://www.chinaquarry.com/products_show/shaking_table.html

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