Mineral Flotation - Hacettepe Üniversitesi

Mineral Flotation - Hacettepe Üniversitesi

CHAPTER 10_ PRACTICAL FLOTATION MACHINES Contents Residence time Mean residence time Distribution of residence time Mixing Unit cells Flotation banks Columns New types of cells.

Introduction Flotation is a rate process - measure flotation rates in the laboratory, but need to know equipment characteristics to translate results to full scale plant Mixing characteristics of the pulp in the flotation machines is particularly important How long does it spend in cell (mean residence time)? Does it all spend the same time there or does some pass quickly (by pass) & some stay a long time (dead space)? This distribution of residence time is used to

describe the mixing pattern within the equipment Residence Time Distribution A full description of the residence time distribution requires a detailed knowledge of the path of each element of pulp through the vessel This is generally not practicable or necessary. All we need to know is how long different elements stay within the cell The particles will be floating for this length of time so that we can calculate how much floats in this time By integrating over all the elements in the pulp we can estimate the combined behaviour.

Residence Time Distribution V, Definitions v v V = volume of cell or tank (m3) v = volumetric feed flow rate (m3 / s) = mean residence time (s) = V / v E(t) = distribution of residence time

Et = the fraction of material in the exit stream with an age between t and t + t Residence Time Distribution The fraction of material in the exit stream which has spent time less than t1 in the cell (i.e. younger than t1) is given by t1 0 E(t)dt Residence Time Distribution The fraction of material in the exit stream which has spent time more than t1 in the cell (i.e. older than t1) is given by

t1 t1 E(t)dt = 1 - 0 E(t)dt The total area under the curve = 1 = 0 E(t)dt Residence Time Distribution E(t) Area under curve = 1

t Ideal Flow Cases Plug Flow This is the ideal case where all material spends the same time in the cell, eg flow in a pipe. It is the same as a batch operation. E(t) Area = 1 0

T t Ideal Flow Cases 2. Perfectly Stirred Cell or CSTR (Continuous stirred tank reactor) This is the opposite ideal case. Mixing is perfect so that all material in the cell is equally likely to leave, ie. fresh feed that has just entered is just as likely to leave as material that has been in cell for a long time (exp(-t/T))/T

E(t) logE(t) 1/T Area = 1 0 t t Ideal Flow Cases E(t)

2 CSTRs in series Arranging CSTRs in series enables other (more realistic) situations to be modelled By connecting many CSTRs together in series behaviour tends towards plug flow ((t/T)exp(-t/T))/T Area = 1 0 0 t Ideal Flow Cases Short Circuiting and Dead Space

These can be modelled by two regions in parallel T1 T2 If 1 << 2 We say that material short circuits the vessel If 2 We say we have dead space in the vessel, eg a flotation cell may be poorly mixed and sanding-up. Measurement of Residence Time

To measure the actual residence time distribution of a cell, tank or other item of equipment tracer techniques are used The tracer which is added should be easily detected and measured, but should otherwise behave in exactly the same manner as the material that is being studied For liquids as tracer use some easily analysed solute which is not present in the plant water fluorescene, lithium chloride, potasium bromide, etc Solids are much more difficult. The best possible way is to irradiate the solids and measure radioactivity.

Measurement of Residence Time It is quite common to trace the liquid and assume that the liquid response is also true for solids. This may or may not be true, depending on the size of the solids and the flow regime. In principle it is possible to measure the response of the tracer to any input signal cyclic, random, impulse. In practice the impulse test is the most convenient to do and to analyse. Measurement of Residence

Time Impulse Test At time 0 a quantity of tracer G (kgm) is added rapidly to the feed to the vessel Samples are then taken of the outlet stream at particular subsequent times and analysed for Tracer Concentration the level of tracer.

V,T v t v Measurement of Residence Time G = 0 vcdt where c is tracer concentration thus G/v = 0 cdt = Area under the curve (v constant)

But = V/v & c0 = G/V Thus area under curve = c0 This enables the tracer concentration curve to be scaled to the E curve c E or c/c0T

Measurement of Residence Time Area = c0T Area = 1 t t Measurement of Residence Time Mean Residence Time

May be measured from the c curve = 0 ctdt / 0 cdt Integrals can be estimated from an experimental curve taking special care with the tail of the curve Notes on Measurement of RTD Important to carryout a mass balance on the tracer to ensure that it is all accounted for, ie estimate v then check that G = v.Area

under c curve. Steady state conditions have been assumed We have assumed only one outlet. OK for a ball mill or conditioner, but care must be taken with flotation cells Watch out for recycles. Can lead to tracer returning to the feed & upsetting simple approach Residence times of solids, particularly coarse solids, can differ significantly from liquids Mixing Models Generally hard to incorporate an experimental RTD curve into a mathematical model. It is better to choose an ideal flow model that

approximates the real situation, then carry out calculations using the flow model c Experimental curve 2 CSTR's in series 0 0 t Flotation Cells

A single flotation cell is an approximation to a perfectly stirred tank (CSTR) Important that mixing is good & solids suspended There should be a calmer region at top of cell for froth drainage, but pulp flow should be well mixed Problems can arise with inadequate mixing Solids can settle out providing dead regions of the cell This will reduce the effective cell volume and the pulp residence time Residence distribution tests can establish whether mixing in the cell is satisfactory Recovery from a Unit Cell

C,cc V,ct F,cf T,ct Recovery from a Unit Cell A total mass balance and component balance of flows around the cell gives F = C + T (1) F . cf = C . c c + T . c t

(2) Mean residence time for the cell is = V/T (3) Recovery from a Unit Cell If the flotation rate constant of the mineral species is k (min-1) C . cc = k . V . c t (4)

The recovery of mineral (R) is given by R = C . cc / F . c f (5) Using (1), (2), (3), (4) and (5) gives R = 1 - 1/(1 + k ) = k /(1 + k ) (6) Recovery from a Unit Cell The equivalent result for a batch flotation cell is R = 1 - exp(-k ) The following table indicates the inefficiency of a stirred cell. The problem is most important for the fast floating material (high k ). Easily recovered material is lost as it passes rapidly from feed to

tailing. k Single Stirred Cell Recovery % Batch Cell Recovery % 0.25 20 22.1 1.0 50 63.2 4.0 80

98.2 Recovery from a Bank of Cells The general way to overcome this problem is to connect cells in series to make a flotation bank Using (6) above we can estimate the recovery for the bank - assume that the single cell volume is distributed into n equal cells arranged in series R = 1 - (1/(1 + k /n))n As n , R 1 - exp(-k ) the recovery for a batch cell or plug flow reactor. Recovery from a Bank of

Cells k Single Stirred Cell Recovery % Stage recovery 3 cells in bank % Stage recovery 5 cells in bank % Stage recovery 10 cells in bank % Batch Cell Recovery % 0.25 20.0 21.4 21.7 21.9 22.1

1.0 50.0 57.8 59.8 61.5 63.2 4.0 80.0 92.1 94.7 96.5 98.2 It can be seen that there is a recovery advantage in

arranging cells in series and that this is more marked with the faster floating materials A few cells in series is generally sufficient to gain most of the advantage of the ideal plug flow reactor. Concentrate Grade from a Bank of Cells A similar small advantage in concentrate grade is expected from a series of cells Consider the flotation to be separating values from gangue. Assume that the feed is 10% values and 90% gangue. Take the case with recovery of 50% values, ie k = 1 for values The stage concentrate can be calculated as follows for a range of rate differences

between values (kv) & gangue (kg) Concentrate Grade from a Bank of Cells This simplified case suggests some advantage in arranging the cells in series, but most of the advantage is achieved by the first few cells. kv / k g Single Stirred Cell Concentrate Grade % 3 cells in bank Concentrate Grade % 5 cells in bank Concentrate Grade % 10 cells in bank Concentrate Grade % Batch Cell/Plug Flow Concentrate Grade %

2 14.3 15.3 15.6 15.8 15.9 5 25.0 28.3 29.0 29.5 30.0 20

53.9 59.4 60.4 61.2 62.0 Different Types of Flotation Banks At one extreme the cells are quite separate so that pulp can only flow forward, for example by overflowing a weir. This is closest to CSTRs (unit cells) but most complex to build and operate bank volume is wasted between the cells At

the other extreme there may be no dividers between the cells The bank is a trough sometimes called a hog trough It has several agitators along the length Back mixing can occur so that the bank mixing tends to revert to a single CSTR Very simple to build & operate but will be less efficient In between there may be partial divisions skirts between the cells that prevent most but not all of the back mixing. This is the more usual compromise Flotation Banks

Residence time measurements can show the mixing patterns in any particular bank. They may also show whether agitation is adequate or whether there is dead space in the bank. Minor design changes have been made to the basic cells over the years aimed at increasing efficiency. Improvements are claimed for mixing, air dispersion, maintenance, controllability, etc. Large Cells The major trend in recent years is the scale-up of flotation cells to cope with the massive tonnages possible in SAG mills

Sizes are now up to about 200m3 To cope with the size there are some changes to the froth collection systems Discharge is sometimes from both sides of the cell Sometimes anular launders are used to increase the available lip length and reduce distance that froth flows Major cost adavantages result from these big units Partly from economies of scale in cell manufacture Also lower installation and maintenance costs Easier control Flotation Columns

Flotation columns were originally considered in the 60s but did not achieve acceptance until about 15 years ago The arrangement aims at a true countercurrent separation High froth depths are also possible making columns particularly suitable for cleaning duties Flotation Column Arrangement Flotation Columns Columns are typically about 10m high

Applications were originally in base metals, but they are now very widely used for both metallic and industrial minerals Effective froth washing and process control were important aspects in the development There are a number of options to improve the plug flow behaviour in the column with internal packing and baffles Residence time distribution and flow patterns of bubbles and particles are critical to the efficient operation of these units. Microcell Bubble generation sometimes done outside the column, eg in the Microcell column

Designed to generate very small bubbles (0.1 0.6mm) particularly targeted at the flotation of fine particles Jameson Cell Jameson Cell A novel system that has gained considerable acceptance in a wide range of applications Air and feed slurry are pumped to the cell in a vertical jet that entrains air and generates a froth This provides a good environment for both particle capture and separation The equipment is much smaller than a full

column Is claimed to be cheaper to install and operate EKOF The different tasks of particle suspension pulp transport production of small air bubbles done in external units connected to the cell As the unit gets larger more of these aerators are needed around the cell EKOF

Recently Viewed Presentations

  • Dionne Brand: Biographical Sketch - fju.edu.tw

    Dionne Brand: Biographical Sketch - fju.edu.tw

    Dionne Brand Biographical Sketch 1953 Born in Trinidad 1970 immigrated to Canada 1970s-80s community worker in Toronto 1983 Information Officer for the Caribbean People's Development Agencies and the Agency for Rural Transformation in Grenada 1997 won the Governor General's Award...
  • Impact of Myriad Decisions on Patent Eligibility of

    Impact of Myriad Decisions on Patent Eligibility of

    Australia for more than 125 years/largest in Sydney. well placed in AU, NZ & South Pacific region. V. V. V. Federal Circuit Court. Of Appeals. US Supreme Court. new office in Shanghai. Headed by a German-qualified. Over 15 years' experience...
  • A Rolling Stone - University of Minnesota Duluth

    A Rolling Stone - University of Minnesota Duluth

    Other Influential Groups in the Folk-Rock Context A Rolling Stone Impact of Bob Dylan and The Beatles on mid 60's Rock Inspired rock musicians to experiment with new ideas; to write, arrange, and produce their own songs. Brought social criticism...
  • Nouns &amp; Definite Articles

    Nouns & Definite Articles

    Title: NOUNS & DEFINITE ARTICLES Author: wyrickk09 Last modified by: msmith Created Date: 11/27/2007 3:01:52 PM Document presentation format: On-screen Show (4:3)


    personified as one man. ... Venerate God, not objects. 1 John 5:21. 21 Little children, keep yourselves from idols. THE AUTHORITY OF CHRIST. IV. Gradual Departures from the Authority of Christ. C. Christ's Warning Became Tragic Reality.
  • Antiseptic-impregnated catheters: Is the Juice Worth the Squeeze?

    Antiseptic-impregnated catheters: Is the Juice Worth the Squeeze?

    SEIPS model for CDI . Five Components. Tools. Technologies. Environment. People. Organization. Tasks. 14. SEIPS for evaluation of C difficile bundle. 15. SEIPS application to CDI. Create a process map to understand current practice and procedures. Review of policies and...
  • Dyslexia Parent Information Questions and Answers

    Dyslexia Parent Information Questions and Answers

    Phonics - letter sound correspondences and their use in reading and spelling . ... —Analytic instruction presents the whole (e.g., base word, derivative) and teaches how the whole word can be broken into its component parts (e.g., base word, prefix,...
  • Behavioral Finance 02/07/2020 Behavioral Finance 1 Efficient Markets

    Behavioral Finance 02/07/2020 Behavioral Finance 1 Efficient Markets

    Efficient Markets Hypothesis - 3. 6/10/2013. Behavioral Finance [Textbook] Arbitrage: By simultaneously selling and purchasing identical securities at favorably different prices, the arbitrageur captures an immediate payoff with no up-front capital and no risk