Aim Of The Experiment: - Classification of ore by using Akin’s classifier.
Apparatus Required: - Laboratory model Akin’s classifier.
Material: Mineral Lumps, Ore Lumps.
Theory: Akin’s classifier is used in dry grinding media. In is used in a continuous operating classifier. Akin’s classifier consists of two cylinders
Objective: - Akins classifier is widely used to control material size from Ball Mill in the beneficiation process, separate mineral sand and fine mud in the gravity concentration, and clean mud and water in washing mineral process.
Theory
Akins classifier is used in a dry grinding media. It is used in a continuous operating classifier. Akins classifier consists of two cylinders and feed is introduced from its apex. When operation is started the discharge from apex of the cylinder gives coarser particles. The coarser particle subsequently go to the extruder channels. Classifiers of this type consist of a tank having an inclined bottom, a lower overflow for fines and an elevated discharge for coarse sands, with a screw or spiral conveying element disposed in the tank for moving settled sands from the pool below the overflow level to the sands discharge.
Principle:
Classification is a method of separation process which is separates the mixing of minerals into two or more products on the basis of the velocity (depends of on the)
(1) Specification Gravity,
(2) Size,
(3)Shape
with which the grain falls through a fluid medium. For fine particles wet medium is generally applied When a solid particle fall freely in vacuum micron resistance present which can’t be ignore falling in water or air. This envois resistance in releases with increase of the velocity of the particle. When equilibrium is allotted between the grain rational and fluid resistance forces, the body reaches its terminal velocity and body reaches at equilibrium rate.
(1) Specification Gravity,
(2) Size,
(3)Shape
with which the grain falls through a fluid medium. For fine particles wet medium is generally applied When a solid particle fall freely in vacuum micron resistance present which can’t be ignore falling in water or air. This envois resistance in releases with increase of the velocity of the particle. When equilibrium is allotted between the grain rational and fluid resistance forces, the body reaches its terminal velocity and body reaches at equilibrium rate.
Classifier consist of essentially of a sorting column in which a fluid is rising at a uniform rate which be
Overflow (Particles with terminal velocity < V)
Fluid velocity (V)
Spigot product (Particles with terminal velocity > V)
Spigot product (Particles with terminal velocity > V)
Particles introduced in the sorting column either sink or rise according to whether there terminal velocities are greater or lesser than the upward velocity of the fluid. The sorting column therefore separates the feed into two products—an overflow consisting of particles with terminal velocity lesser than the velocity of the fluid and the over flow of Spigot product of particles with terminal velocity greater than the rising velocity.
Procedure:
1kg. of mineral is taken. The minerals are fed to the classifier at a particular feed rate and start the machine and collect the data of the feed retain and overflow and under flow retain.
Calculation:
Efficiency (E) = [(x+y)/z] X 100
Where, x = wt. of coarser particle
y = wt. of fine particle
z = wt. of the feedAnd Efficiency is always given by
y = wt. of fine particle
z = wt. of the feedAnd Efficiency is always given by
Efficiency (E) = [c X (f -t)/f X (c-t)] X 100
Where, c = wt. of the overflow particle
t = wt. of the underflow particle
f = wt. of the feed.
t = wt. of the underflow particle
f = wt. of the feed.
Result:
Conclusion: In Akin’s classifier the product size rang can be changed by adjusting the velocity of feed rate. The efficiency of the classifier is usually in the range of 50 to 80%.
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