spiral classifier 3d

spiral classifier for mineral processing

spiral classifier for mineral processing

In Mineral Processing, the SPIRAL Classifier on the other hand is rotated through the ore. It doesnt lift out of the slurry but is revolved through it. The direction of rotation causes the slurry to be pulled up the inclined bed of the classifier in much the same manner as the rakes do. As it is revolved in the slurry the spiral is constantly moving the coarse backwards the fine material will flow over the top and be travelling fast enough to be able to work its way downwards to escape. The Variables of these two types of classifiers are The ANGLE of the inclined bed, this is normally a fixed angle the operator will not be able to adjust it.

The SPEED of the rakes or spirals, the DENSITY of the slurry, the TONNAGE throughput and finally the SETTLING RATE of the ore itself.To be effective all of these variables must be balanced. If the incline is too steep the flow of slurry will be too fast for the rakes or spirals to separate the ore. If the angle is too flat the settling rate will be too high and the classifier will over load. The discharge rate will be lower than the feed rate, in this case. The load on the rakes will continue to build until the weight is greater than the rake or spiral mechanism is able to move. This will cause the classifier to stop and is known as being SANDED UP. If the speed of the rakes or spirals are too fast, too much will be pulled, out the top. This will increase the feed to the mill and result in an overload in either the mill or classifier as the circuit tries to process the increased CIRCULATING LOAD.

The DENSITY of the slurry is very important, too high the settling will be hampered by too many solids. Each particle will support each other preventing the heavier material from quickly reaching the bottom of the slurry. This will not allow a separation to take place quickly. The speed at which the slurry will be travelling will be slow and that will hamper effective classification. Another variable is the TONNAGE. All equipment has a limit on the throughput that anyone is able to process, classifiers are no different. This and the other factors will have to be adjusted to compensate for the last variable, the ore itself. Every ore type has a different rate of settling. To be effective each of the previous variables will have to be adjusted to conform to each ones settling characteristics.

The design of these classifiers (rake, spiral, screw) have inherent problems, First, they are very susceptible to wear, caused by the scrubbing action of the ore, that plus all of the mechanical moving parts create many worn areas to contend with. The other problem that these classifiers have is that they are easily overloaded. An overloaded classifier can quickly deteriorate into a sanded-up classifier. Once that happens the results are lost operating time, spillage and a period of poor Mineral Processing and Separation performance.

Another mechanical classifier is the spiral classifier. The spiral classifier such as the Akins classifier consists of a semi-cylindrical trough (a trough that is semicircular in cross-section) inclined to the horizontal. The trough is provided with a slow-rotating spiral conveyor and a liquid overflow at the lower end. The spiral conveyor moves the solids which settle to the bottom upward toward the top of the trough.

The slurry is fed continuously near the middle of the trough. The slurry feed rate is so adjusted that fines do not have time to settle and are carried out with the overflow .liquid. Heavy particles have time to settle, they settle to the bottom of the trough and the spiral conveyor moves the settled solids upward along the floor of the trough toward the top of the trough/the sand product discharge chute.

spiral classifier

spiral classifier

Spiral Classifier is a traditional type of classification equipment, mainly for metal mineral processing for the slurry density and particle size on the wet grade, mining operations could also be used in the flow desliming.

it is hard to get very fine product, especially for product with -200 mesh over 90%; It is not easy to automate control it, and the classification efficiency is not high; It needs a large space for installation.

used sand classifiers for sale. arena equipment & more | machinio

used sand classifiers for sale. arena equipment & more | machinio

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experimental investigation of novel enhanced gravity closed spiral classifier | springerlink

experimental investigation of novel enhanced gravity closed spiral classifier | springerlink

Classifiers have found wide applications in the mineral processing industry. In this study, a novel enhanced gravity closed spiral classifier is presented. This device uses induced centrifugal force to classify particles. A functional prototype of the separator was 3D printed to experimentally validate the concept. The performance characteristics of the classifier were established by conducting experiments under different process and design conditions. Silica slurries with particle loading of 515wt% were used in this work as a model system. The particle size distribution analysis was performed using laser scattering particle size distribution analyser (LSPSDA). The effects of particle loading, velocity of feed stream, and number of turns of spiral were explored. The equipment could be used in many applications ranging from size (mass) classification to disposing of unwanted gangue.

The authors deeply acknowledge the support of Mr. K. Ananth Krishnan, CTO, Tata Consultancy Services (TCS), in pursuing this research. The authors are grateful to Dr. Pradip, Dr. Beena Rai, and Dr. Venkataramana Runkana for their guidance and encouragement. We express our thanks to ourlaboratory assistants Mr. Yasin Shaikh, Mr. Sudam Konelu, and Mr. Rupesh Shinde.

The corrected separation efficiencies have been calculated using Eq.(7). The bypass parameter Bp is calculated as the minimum separation efficiency obtained in the experimentally observed efficiency curve. In most of the curves, the minimum efficiency due to the fish-hook behavior is observed to be near the particle size of ~20m. The D25c, D50c, and D75c are then calculated from the corrected separation efficiency curves. From Fig.9, it is observed that corrected separation efficiency is stable for variation in particle loading of 5 to 15wt%. From Figs.10 and 11, it can be seen that the corrected separation efficiency curves are improving with increase in the feed velocity and the number of turns.

Vysyaraju, R., Pukkella, A.K. & Subramanian, S. Experimental Investigation of Novel Enhanced Gravity Closed Spiral Classifier. Trans Indian Inst Met 72, 22392248 (2019). https://doi.org/10.1007/s12666-019-01589-0

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