Thursday, 30 November 2017

FORMULA FOR THE DIRECT CALCULATION OF THE DIRECT CALCULATION OF THE COMMINUTION VELOCITY By Ph.D. Igor Bobin

In previous articles [1-3] we have talked about the modeling of comminution kinetics (crushing and grinding kinetics) C = f (t), where C – is the content of the size fraction (size class) of final product, %;  t – is time, secs.

Now we are acquainting with сomminution velocity vc.
Comminution velocity (rate) vc is ratio of the size fraction content C to unit of time t. Comminution velocity is derivative of time  vc = dC/dt  (% / secs).
Our modeling approach to comminution kinetics allows to carry direct calculation of сomminution velocity, pioneering move. A visual representation of the сomminution velocity in time is very important for solving the optimization problem of the mineral processing technology.

I have proposed the following my own formula with delay for the direct analytical calculations of the comminution velocity
vc (the differential equation in the operator form of Laplace)
FORMULA FOR THE DIRECT CALCULATION OF  THE ORE СOMMINUTION VELOCITY   By  Ph.D. Igor Bobin

where   c0 – is initial level of content, which is set from the experimental data of the comminution process, %; T – is time constant of comminution (constant of inertia), secs; τ – is time delay, secs; s – is Laplace complex variable.
 
The parameters c0, τ and T are determined graphically on the experimental kinetic curve of the comminution process by known method. The mathematical model (1) of the comminution velocity vc of the first order with delay is Transfer Function W(s), which is convenient for modeling using MATLAB. The mathematical model (1) has enough accuracy for engineering calculations.  

Example There are mineral ore with its experimental dependence of the comminution kinetics with delay (see Fig.1).
We have mathematical model of the comminution kinetics C = f(s) in the operator form of Laplace, a similar the equation in the usual form [1] 
FORMULA FOR THE DIRECT CALCULATION OF  THE ORE СOMMINUTION VELOCITY   By  Ph.D. Igor Bobin

In this case, parameter values of approximating equation (2) is amounted to:  c0=9.54 %,
τ =60 secs, T=180 secs.

Let's substitute these parameter values in the Bobin’s equation (2), and we got the mathematical model of the comminution kinetics C(s)

FORMULA FOR THE DIRECT CALCULATION OF  THE ORE СOMMINUTION VELOCITY

The analytical dependence and experimental of comminution kinetics obtained by modeling at MATLAB are shown on Figure 1.
 
FORMULA FOR THE DIRECT CALCULATION OF  THE ORE СOMMINUTION VELOCITY   By  Ph.D. Igor Bobin
 Fig. 1. Curves of the comminution kinetics C(t)
 
Now let's substitute parameter values in the Bobin’s equation (1), and we got the mathematical model of the comminution velocity vc(s)

FORMULA FOR THE DIRECT CALCULATION OF  THE ORE СOMMINUTION VELOCITY   By  Ph.D. Igor Bobin

The analytical dependence of comminution velocity obtained by modeling at MATLAB is shown on Figure 2.
 
FORMULA FOR THE DIRECT CALCULATION OF  THE ORE СOMMINUTION VELOCITY   By  Ph.D. Igor Bobin
 Fig. 2. The analytical curve of the comminution velocity vc(t),  (% / secs)

Thus, we can clearly calculate the comminution velocity (comminution rate) and use it to optimize the process. In our case, modeling of comminution kinetics is an indispensable tool for analisis of the mineral technology. The use of this tool (amongst other things) by the best expert on minerals concentration allows us to reach previously unattainable level of the mineral production efficiency.
 

References

  1. Ph.D. Igor Bobin, Ph.D. Natalia Petrovskaya. «EQUATION OF COMMINUTION KINETICS WITH DELAY» Web resurs "CONCENTRATION OFMINERALS". December 18, 2016
  2. Ph.D. Igor Bobin, Ph.D. Natalia Petrovskaya. «EQUATION OF COMMINUTION KINETICS WITH DELAY» News aggregation app Linkedin Pulse.  December 18, 2016
  3. Ph.D. Igor Bobin, Ph.D. Natalia Petrovskaya. «EQUATION OF COMMINUTION KINETICS WITH DELAY» Open publishing platform Scribd. December 19, 2016
 
December 27, 2016
 

Tuesday, 28 November 2017

Presence of soluble copper minerals in water, which activate the flotation of pyrite and sphalerite

Mineral Run-of-Mine  contains many copper minerals that can soluble in water very well. For example, mineral may contain chalcanthite (CuSO4∙5H2O); calcocianite (CuSO4); bonattite (CuSO4∙3H2O); boothite (CuSO4∙7H2O) and other copper sulfates. These minerals are dissolved in water in the pulp and it forms undesirable copper cations. Copper cations are sorbed on the surface of pyrite and sphalerite and it activates the surface of these minerals.
This effect is comparable with the activation of sphalerite and pyrite by copper sulfate. Thus, pyrite floats a good way as copper sulfides (or lead). After such surface activation of pyrite with copper cations, selective depression with traditional methods is much more difficult (added cyanides). You need to create a barrier to prevent the activation of pyrite, sphalerite.
This solution is recommended for use in the flotation of ores containing Cu, Pb, Zn, Ag, Au.
Pros: When you use this solution, you can almost entirely eliminate the use of cyanide, also a consumption of other reagents cans be reduced. Pyrite depresses much easier. Lead flotation proceeds more efficiently.
Extraction of Cu, Pb, Zn, Ag, Au in a concentrate increases. For example, the extraction of copper in a Plant could rise by as 5-10 % at constant quality of copper concentrate.
Disadvantages: When you use this solution an usage of oxyhidryl collectors is not recommended  (carboxylates, alkyl sulfates, sulfonates, hidroxamates, sulfosuccionales, phosphonic). 

You can visit "THE  STORE  OF  MY  IDEAS  AND  TECHNOLOGICAL  SOLUTIONS"

Ph.D. Natalia Petrovskaya

Monday, 27 November 2017

THE IMPROVED EQUATION OF FLOTATION KINETICS By Ph.D. Igor Bobin

Flotation is widely used in the enrichment of non-ferrous metals, non-metallic minerals and man-made materials. Recently flotation is also used in wastewater treatment. When flotation achieved a high degree of concentration of valuable components. Results of flotation depend on the mineral composition and granulometric characteristics of the feedstock, the density, temperature, and degree of aeration of the pulp, the ionic composition of the liquid phase and other factors [1].

All variety of technological factors affecting the efficiency of the flotation is reflected by kinetics of flotation. 
Kinetics of flotation reflects the flotation results in the transitive states and is characterized by dependency of the recovery R of floatable mineral in concentrate from time t, i.e. R=f(t). The main purpose of the flotation kinetics is a quantitative description of the flotation process in time. The flotation kinetics of monomineral particles is usually described in mineral processing by the K.F. Beloglazov’s equation of  R(t)=1–e– k·t or by other similar equations.
However, the equation of K. Beloglazov (as other flotation kinetics equations, too) has a number of disadvantages [2]:
1. Limit of the recovery of valuable component is always taken as 100 %, which is not true. With flotation, the actual recovery of valuable component never reaches 100 %.
2. In practical calculations, the slope of curve R=f(t) is taken into account rather rudely: by selection of the parameter k, which gives a considerable error in the calculation of flotation kinetics.
3. For many minerals the flotation kinetics can’t be described only by an exponential dependence, since there is a delay due to the surface properties of minerals. For such minerals dependence R=f(t) has a pronounced S-shaped form with a delay (Fig. 2).
Thus, the limiting factor of the theory and practice of the ore flotation is still imperfection of the used models of the flotation kinetics.
Taking into account these shortcomings of known kinetic equations, Ph.D. Igor Bobin has proposed and published the following his own improved equation with delay for analytical calculations of ore flotation kinetics R(t) [3]
Ph.D. Igor  Bobin. Kinetics of flotation
where  Rmax – is the ultimate recovery of the valuable component, which is set from 0 to 100% from the experimental data of the flotation process, % (see. Fig. 3);  T – is the time constant of flotation (the constant of inertia), secs; τ – is the time delay of flotation, secs;   t – is the time, secs.
The parameters Rmax, τ and T are determined graphically on the experimental kinetic curve of the flotation process (see. Fig. 3).

Flotation kinetics equation (1) of I. Bobin was obtained on the basis of the graphic-analytical method of approximation of experimental time characteristic by the operator equation of the first order with delay [2].


Implementation of this modeling method is as follows.


We need to get an approximate Transfer Function W(s) of the dynamics of the flotation process for an interesting channel "Input X(s) – Output Y(s)" (Fig. 1). For example, the channel "Change in pH of pulp – Recovery of valuable component".

Ph.D. Igor Bobin. Kinetics of flotation
Fig. 1. The Transfer Function of element "Flotation process"

The approximate transfer function of the flotation system of the first order with delay (2) is a universal dynamic model of the system, which allows us to describe the statics, kinetics and dynamics of the flotation process

Ph.D. Igor Bobin. Kinetics of flotation
where  k – is the transfer coefficient of the dynamic system;  T – is the time constant of the inertia of the dynamic system, secs;  τ – is the time delay, secs;  s – is the complex variable on Laplace.

The parameters k, τ and T are determined graphically on the experimental kinetic curve of the flotation process (see. Fig. 3). If we need the equation of the flotation kinetics only, then we can get the Transient Function (Transient Response) h(t) of our dynamic system "Flotation process".
Transient Response h(t) is a reaction of a dynamic system on the unit step influence of 1(t).
Then (L-1– is inverse Laplace transform) it implies from (2) that the kinetic equation for the output variable (dependent variable) Y(s) is
Ph.D. Igor Bobin. Kinetics of flotation

Also we need to take into account that the value of the input variable (independent variable) X(s) – is the unit step influence 1(t). Then we obtain the following expression
Ph.D. Igor Bobin. Kinetics of flotation
Let’s substitute the expression (4) in the expression (3)
Ph.D. Igor Bobin. Kinetics of flotation

Let’s substitute the expression (2) in the expression (5), then we get

Ph.D. Igor Bobin. Kinetics of flotation
Next, we carry the inverse Laplace transform L-1 and we go from the operator form of the expression to the usual form
Ph.D. Igor Bobin. Kinetics of flotation
If we take into account that function y(t) represents the kinetic dependence R(t) and the transfer coefficient k =Rmax then equation (7) is transformed to equation (1) in this case. As a result, we have the improved equation of flotation kinetics (1) of the traditional kind, but with a delay.
The improved equation of flotation kinetics (1) proposed by Ph.D. I. Bobin is a simple and clear solution of the problem of modeling the kinetics of the ore flotation. Equation (1) is well suited for modeling of flotation kinetics R(t) of the processes with exponential kinetic dependence and S-shape kinetic dependence, with delay or without delay, too. The equation (1) of I. Bobin is devoid of these drawbacks of the equation of K. Beloglazov. The equation (1) is fully taken into account the upper limit of recovering a valuable component as a percentage, the delay and the slope of kinetic curve R(t); model parameters Rmax, τ and T are conveniently determined according to the schedule of the experimental curve of flotation kinetics using the standard graphical method (see. Fig. 3), there is no need for the selection of model parameters.
Let’s consider the example of the usage of Ph.D, I. Bobin’s equation (1) for modeling the kinetics of flotation of copper-zinc ore.
Example
In the laboratory, we conducted studies on the kinetics of flotation of copper-zinc ore.  Grade of copper of 1.55%,  grade of zinc of 0.83%. Weight content of the class of less than 0.071 mm was of 80%. Ratio of liquid to solid was L:S=3:1. Consumption of reagents:  С4Н9ОСSSК of 5 gram/tonne, T-80 of 15 gram/tonne. Flotation process was carried in a neutral environment. Flotation time was of 10 minutes. The experimental curves of the flotation kinetics for copper and zinc are presented on Fig.2. We need to obtain the analytical dependences of the flotation kinetics for copper and zinc.
 
Decision
Figure 2 shows the flotation kinetics R(t) for copper and zinc obtained from experiments in [2].
Ph.D. Igor Bobin. Kinetics of flotation
Fig. 2. The experimental dependences of the flotation kinetics
 of copper 1 and zinc
2
On the shape of the experimental curves R(t) we can conclude that the dependence R(t) of copper has an exponential form without delay. The dependence R(t) of zinc is S-shaped with a delay.
For a practical simulation of the flotation kinetics using I. Bobin’s equation (1) we need to first identify the model parameters Rmax, τ and T.  Let’s use the graphical method to solve this task (see. Fig. 3).
Ph.D. Igor Bobin- Kinetics of flotation
Fig. 3. The approximation of the experimental dependence R=f(t) [2]:
a - for copper; b - for zinc

Method of the approximation is the following. For exponential dependences, we need to construct a tangent to the portion of the curve with a constant slope on the schedule R(t) to determine the time constant of inertia T (Fig. 3, a). In this case, the time delay τ, usually is zero. For S-shaped dependences, we need to construct a tangent at the inflection point of the S-shaped curve on the schedule R(t) to define parameters τ and T (Fig. 3, b). In both cases, the parameter Rmax is determined by the steady-state value of the curve R(t) (Fig. 3, a, b).
Parameter values of ​​approximating equation (1) for copper in this case amounted to: Rmax=62%, τ =0 secs, T=69 secs.
Let's substitute these parameter values ​​in the Bobin’s equation (1), and we get the mathematical model of the copper flotation kinetics RCu(t)
Ph.D. Igor Bobin. Kinetics of flotation
Actually for copper the equation (8) is converted to the equation (9)
Ph.D. Igor Bobin. Kinetics of flotation
Parameter values of ​​approximating equation (1) for zinc in this case amounted to: Rmax=29 %, τ =50 secs, T=65 secs.
Let's substitute these parameter values ​​in the Bobin’s equation (1), and we get the mathematical model of the zinc flotation kinetics RZn(t)
Ph.D. Igor Bobin. Kinetics od flotation
Practical simulation of the flotation kinetics using the formula (1) is as follows. One need to obtain values ​​of function R(t) in the interesting range of the argument t. Mathematical modeling can be performed using a manual calculation with engineering calculator, MS Excel, MATLAB or other software.
Sample program to calculate the flotation kinetics of copper (9) and zinc (10) by the formula (1) of Ph.D. I. Bobin for MATLAB as follows:
script
RmaxCu=62; TCu=69; tauCu=0; tCu=[tauCu:0.01:600];
xCu=(tCu-tauCu)./TCu; RCu=RmaxCu.*(1-exp(-xCu));
RmaxZn=29; TZn=65; tauZn=50; tZn=[tauZn:0.01:600];
xZn=(tZn-tauZn)./TZn; RZn=RmaxZn.*(1-exp(-xZn));
plot(tCu,RCu,tZn,RZn); title('Flotation kinetics curves R(t)');
             xlabel('Time, secs'); ylabel('Recovery, %'); axis([0 600 0 65]);


The analytical dependences of the flotation kinetics for copper and zinc obtained by simulation at MATLAB are shown in Figure 4.
Ph.D. Igor Bobin. Kinetics of flotation
Fig. 4. The analytical dependences of the flotation kinetics for copper and zinc obtained by simulation using formula (1) of Ph.D. I. Bobin
Thus, the proposed method of modeling the flotation kinetics, which based on the Ph.D. I. Bobin equation (1) is convinient, intuitive and not difficult, it does not require any special skills or knowledge and it has enough accuracy for engineering calculations.

References
1. Petrovskaya, N.I. (2007). Fundamentals of the theory of flotation, Izd. Ajur, Yekaterinburg.
2. Bobin, I.S., Petrovskaya, N.I. (2008). Usage of inertial model of 1st order with delay for analysis of kinetics of flotation, Tsvetnie Metaly, № 10, Moscow, pp. 30-33.
             3. Bobin, I., Petrovskaya, N. (2015). Kinetics of ore flotation, Web Resource “CONCENTRATION OF MINERALS” https://sites.google.com/site/concentrationofminerals/home

Ph.D. Igor Bobin, April 3, 2016

Thursday, 23 November 2017

THE DEVELOPMENT OF A NEW ORE PROCESSING TECHNOLOGY

The development of a completely new ore processing technology designed exclusively for your Plant (as designed or existing plant), your ore, your specifications and tasks. Research work.

The development performed by two professionals experienced in the field of mineral processing with the scientific degree of Ph.D. (Ph.D. Igor Bobin,   Ph.D. Natalia Petrovskaya).
Under exclusive technology we mean a technology that is not existed until now, in contrast to an adaptation of the known technology of the mineral processing. This exclusive technology involves the obtaining new high technology products, the patenting them and innovation.

We reserve the right not to tackle the problem, if it belongs to the category of technically unsolvable problems (in the foreseeable future of 1-3 years) at the present level of technological development.

Ph.D. Igor Bobin 

Ph.D. Natalia Petrovskaya

Email: nataliapetrovsky@gmail.com

Tuesday, 21 November 2017

THE MODELING OF THE HARDENING VELOCITY By Ph.D. Igor Bobin


The hardening is an important physical process at the industrial production. The most famous examples are pelletizing of iron ore or briquetting of coal and peat. We spoke about the hardening kinetics in the articles [1-3].
Analytical curves of the hardening kinetics for the ore briquetting are shown in Fig.1.
THE MODELING OF THE HARDENING KINETICS   By Ph.D. Igor Bobin and Ph.D. Natalia Petrovskaya
Fig 1. The hardening kinetic curves obtained at the modeling [1-3] by formulas                
(1) - artificial desiccation and (2) - native desiccation Time is presented in seconds.


Now we shall deal with hardening velocity or hardening rate. What is that?

Hardening velocity (rate) vS is ratio of the compressive strength of specimen Rs to unit of time t. Hardening velocity is derivative of time vS = dRs /dt  (Pa / sec).

Our modeling approach to the hardening kinetics allows carry direct calculation of the hardening velocity, pioneering move. Formulas (1) and (2) of the hardening kinetics are presented in articles [1-3].

I have proposed the following my own formula with delay for the direct analytical calculations of the hardening velocity vS (the differential equation in the operational form of Laplace).


The parameters Rs max, rs0, τ and T are determined from an experimental data of the hardening process.

The mathematical model (3) of the hardening velocity vS of the first order with delay is Transfer Function W(s), which is convenient for modeling using MATLAB. The mathematical model (3) has enough accuracy for engineering calculations.

The parameters Rs max, rs0, τ, τtr and T2 are determined from an experimental data of the hardening process.

The mathematical model (4) of the hardening velocity vc of the second order with delay is Transfer Function W(s), which is convenient for modeling using MATLAB. The mathematical model (4) provides very high accuracy of scientific calculations and engineering.

Analytical curves of the hardening velocity are shown in Fig. 2 and Fig. 3.

Fig 2. The hardening velocity curves obtained at the modeling by formulas                
(3) - artificial desiccation and (4) - native desiccation. Time is presented in seconds.

Fig 3. The hardening velocity curves obtained at the modeling by formulas                
(3) - artificial desiccation and (4) - native desiccation. Time is presented in hours.

The use of I. Bobin's operational formulas of the hardening kinetics and velocity allows:
1. Reduce the cost of obtaining products with the required strength.
2. Effectively manage the process of hardening of products.
3. Optimize the process of hardening finished products and semi-finished products.
4. Reduce the number of production areas.
5. Reduce the cost of drying and hardening products.

In this manner the modeling of hardening kinetics is an indispensable tool for analisis of the mineral technology and other. The immediate analytical description and a visual representation of the hardening velocity in time are very important for solving optimization problem of production processing. The formulas of the hardening velocity can be used everywhere with success where a product (or semi-product) acquires strength over time.

References
1. Igor Bobin, Natalia Petrovskaya. «THE MODELING OF THE HARDENING KINETICS» News aggregation Linkedin Pulse.  August 26, 2017 https://www.linkedin.com/pulse/modeling-hardening-kinetics-igor-bobin-ph-d-?lipi=urn%3Ali%3Apage%3Ad_flagship3_profile_view_base_post_details%3BFQp56PbETLirkMAYTZZg%2Fw%3D%3D
2. Igor Bobin, Natalia Petrovskaya «THE MODELING OF THE HARDENING KINETICS» Web resurs "MINERAL MODELING". August 25, 2017 https://sites.google.com/site/mineralmodeling/hardening-modeling/the-modeling-of-the-hardening-kinetics
3. Igor Bobin, Natalia Petrovskaya. «THE MODELING OF THE HARDENING KINETICS» Open publishing platform Scribd. August 25, 2017 https://ru.scribd.com/document/357243590/THE-MODELING-OF-THE-HARDENING-KINETICS


© Ph.D. Igor Bobin
September 24, 2017
bobin.igor@yahoo.com

Thursday, 16 November 2017

You can select and use the equipment for classification properly and effectively

This solution is designed for all technologies (flotation, gravity, magnetic separation, which using hydrocyclones for the separation of particles by size (classification).
Efficiency of separation of minerals depends largely on the size of particles entering the separation. As a rule, hydrocyclones are used for the separation of coarse particles from the fine particles. The right choice of the hydrocyclone is necessary to solve a lot of issues and problems.
For example, it can be a separate flotation of coarse particles  and fine particles. It is a good idea for some ore (but not for all ores!). This technology has several improved process performance through the use of cells of different types. However, the effectiveness of this technology was lower than expected for some reason.
One reason is the wrong choice of hydrocyclones for classification. Wrong calculation and selection of equipment for the classification lead to a substantial loss of valuable component.
By purchasing this solution, you will select and use equipment for classification properly and effectively.

You will receive a rapid effect at low cost on the Plant reconstruction:
1. Increasing of the extraction of minerals.
2. Reducing of the overload of equipment.
3. Reducing the volume of the circulating load.
4. Proper distribution of the flow, which is close to the ideal.


CONCENTRATION OF MINERALS

Ph.D. Natalia Petrovskaya

Wednesday, 15 November 2017

EQUATION OF COMMINUTION KINETICS WITH DELAY By Ph.D. Igor Bobin and Ph.D. Natalia Petrovskaya

Rock is a variety of different minerals united together. A comminution process is used to liberate one mineral from another. The size of the pieces of rock decreases with the comminution and mineral particles are released. 
The purpose of the comminution is to obtain the finished product of a certain size. The finished product is directed to the separation of one mineral from another.
Crushing and grinding operations are expensive, so the kinetics of grinding (сrushing, comminution) is very important for the management.

The comminution kinetics reflects the change of the content of the size fraction (size class) of finished product in time: C = f(t).
The main objective of the comminution kinetics is a quantitative description of the comminution process. Many comminution processes can be described by an exponential function. Experience shows that almost all comminution systems have an inertia. Often, however, besides an inertia, comminution processes occur with a some delay of time. It should be accounted in modeling.

Ph.D. Igor Bobin has proposed the following his own equation with delay for analytical calculations of the comminution kinetics C(t) [1]
Equation of comminution kinetics with delay  By Ph.D. Igor Bobin, Ph.D. Natalia Petrovskaya
where С(t) – is the content of the size fraction of ready product, %; c0 – is initial level of content, which is set from the experimental data of the comminution process, % (see. Fig. 1); T – is the time constant of comminution (the constant of inertia), secs; τ – is the time delay of comminution, secs; t – is the time, secs.

The parameters c0, τ and T are determined graphically on the experimental kinetic curve of the comminution process by known metod.
 
Example

There are mineral ores of two kinds with their experimental dependences of the comminution kinetics.
In this case, parameter values of ​​approximating equation (1) for first ore is amounted to: c0 =9.54 %, τ =60 secs, T=180 secs.


Let's substitute these parameter values ​​in the Bobin’s equation (1), and we get the mathematical model of the comminution kinetics C1(t)
Equation of comminution kinetics with delay  By Ph.D. Igor Bobin, Ph.D. Natalia Petrovskaya


The analytical dependence and experimental of comminution kinetics for first ore obtained by simulation at MATLAB are shown on Figure 1.
 

Equation of comminution kinetics with delay  By Ph.D. Igor Bobin, Ph.D. Natalia Petrovskaya
Fig. 1. The dependences of the comminution kinetics for first ore

Parameter values of ​​approximating equation (1) for second ore is amounted to: c0 =3.97 %, τ =0 secs, T=630 secs.


Let's substitute these parameter values ​​in the Bobin’s equation (1), and we get the mathematical model of the comminution kinetics C1(t)

Equation of comminution kinetics with delay  By Ph.D. Igor Bobin, Ph.D. Natalia Petrovskaya

Actually the equation (3) is converted to the equation (4) in this case
Equation of comminution kinetics with delay  By Ph.D. Igor Bobin, Ph.D. Natalia Petrovskaya


The analytical dependence and experimental of comminution kinetics for second ore obtained by simulation at MATLAB are shown on Figure 2.

Equation of comminution kinetics with delay  By Ph.D. Igor Bobin, Ph.D. Natalia Petrovskaya

Fig. 2. The dependences of the comminution kinetics for second ore


Bobin equation (1) is well-suited for modeling the kinetics of comminution C(t) of processes with delay. Thus, the proposed method of modeling is convinient and it has enough accuracy for engineering calculations and scientific.
© Ph.D. Igor Bobin, Ph.D. Natalia Petrovskaya

December 18, 2016
nataliapetrovsky@gmail.com

Tuesday, 14 November 2017

Selecting an assortment of flotation reagents depends on the equipment!

On Plant A realized a modern technology of ore flotation (Cu, Mo, Au). The technology provides the classification of the original feed in hydrocyclones and separate flotation of underflow product (coarse) and overflow product (fine fractions).

In the hydrocyclone, a separation occurs not only by particle size, but also by density.
Porphyry ores contain approximately 90% silicates. Silicates have a density  (from 2000 to 4700
kg/m3). In the hydrocyclone, separation of silicates occurs by density. Also, the gold particles can accumulate in the underflow product (coarse).

As a result, when coarse and fine fractions coming to flotation, they are differ in composition and have their own flotation properties. This means that the flotation of coarse must use one type of conditioners and the flotation of fine fractions need to use another type of conditioners (and promoters).


Using optimal conditioners (and promoters) for each of the products can significantly improve the recovery of gold, copper and molybdenum, while maintaining the quality of concentrates.



CONCENTRATION OF MINERALS

Ph.D. Natalia Petrovskaya

Monday, 13 November 2017

KINETICS OF ORE FLOTATION By Ph.D. Igor Bobin and Ph.D. Natalia Petrovskaya


Kinetics  of  ore  flotation Ph.D. Igor Bobin, Ph.D. Natalia Petrovskaya  Flotation kinetics (from the Greek  Kinētikós - driving) is studying the regularities of flotation process at the time, the rate and the flotation mechanism. Kinetics of flotation reflects the flotation results in variable states and is characterized by dependency of the recovery R of floatable mineral in concentrate from time t, i.e. R = f (t). It allows a quantitative description of the flotation process in time.
Flotation kinetics (from the Greek  Kinētikós - driving) is studying the regularities of flotation process at the time, the rate and the flotation mechanism.
Kinetics of flotation reflects the flotation results in variable states and is characterized by dependency of the recovery R of floatable mineral in concentrate from time t, i.e. R = f (t). It allows a quantitative description of the flotation process in time.
 
Kinetic curve of floatability is a graph showing the change in concentration of substances in time. At Fig. 1 there are two of the most common type of flotation kinetic dependences  R = f (t):  exponential function and sigmoidal function.

The exponential dependence is characteristic for hydrophobic and most easily floatable mineral particles and particles whose surface has time to react quickly and easily with flotation reagents (primarily activators and collectors).

The sigmoid dependence
resembling the letter S, is often called S-shaped dependence. Sigmoid dependence is characteristic for the less hydrophobic and difficult floatable minerals, the surface of which are not rapidly react with flotation reagents, and hydrophobic surfaces that require a longer contact with the flotation reagents.
Ph.D. I.Bobin, Ph.D. N.Petrovskaya. Kinetics of flotation
Fig. 1. Types of flotation kinetic dependences:  1 - exponential function; 2 - sigmoidal function
 
At first glance, many processes can be described by an exponential function. Experience shows that almost all flotation systems have an inertia from a few seconds up to several hours. The exponential dependence allows sufficient accuracy to describe the processes of inertia, and it is a standard mathematical model of the kinetics of flotation. Often, however, besides an inertia, flotation processes occur with a some delay of time. It should be accounted in modeling.
Intensity of the process of flotation is characterized by a rate of flotation. Because the feedstock for the flotation process can content more that one valuable component, in practice the flotation rate is determined for each component separately.

Flotation rate
(velocity) for the i-th component is the ratio of the recovery R of i-th valuable component in the foam product to the unit of time t. Flotation rate is derivative of time  v = dR/dt  (%/secs).
Ph.D. Igor Bobin has proposed and published the following his own equations of flotation kinetics:

1. Improved equation of flotation kinetics of the traditional kind, but with delay

Ph.D. Igor Bobin has proposed and published the following his own equations of flotation kinetics: 1. Improved equation of flotation kinetics of the traditional kind, but with delay   where   Rmax – is ultimate recovery of the valuable component, which is set from 0 to 100% based on the experimental data of the flotation process, %; T – is time constant of flotation (constant of inertia), which is determined by the graphical method (see Fig. 2,  Fig. 3) for the experimental curve of the kinetics of flotation, secs; τ– is time delay of flotation, which is determined by the graphical method (see Fig. 2,  Fig. 3) for the experimental curve of the kinetics of flotation, secs; t – is time, secs.Improved equation (1) is well-suited for modeling the kinetics of flotation R(t) of processes with exponential kinetics curves with delay. Equation (1) is devoid of the drawbacks of conventional flotation kinetics equation, it does not require the selection of parameters, all the parameters of the flotation kinetics model (1) is conveniently determined by standard graphic method on the schedule of the experimental curve kinetics (see Fig. 2,  Fig. 3) [1].
where   Rmax – is ultimate recovery of the valuable component, which is set from 0 to 100% based on the experimental data of the flotation process, %; T – is time constant of flotation (constant of inertia), which is determined by the graphical method (see Fig. 2,  Fig. 3) on an experimental curve of the kinetics of flotation, secs; τ– is time delay of flotation, which is determined by the graphical method (see Fig. 2,  Fig. 3) on an experimental curve of the kinetics of flotation, secs; t – is time, secs.

Improved equation (1) is well-suited for modeling the kinetics of flotation R(t) of processes with exponential kinetics curves with delay. Equation (1) is devoid of the drawbacks of conventional flotation kinetics equation, it does not require the selection of parameters, all the parameters of the flotation kinetics model (1) is conveniently determined by standard graphic method on the schedule of the experimental curve of kinetics (see Fig. 2,  Fig. 3) [1].

Ph.D. Igor Bobin, Ph.D. Natalia Petrovskaya. Kinetics of flotation
 Fig. 2. Approximation of dependence R = f (t) for copper

Ph.D. Igor Bobin, Ph.D. Natalia Petrovskaya. Kinetics of flotation
Fig. 3. Approximation of dependence R = f (t) for zinc

2. Equation (inertia model) of flotation kinetics of the first order with delay [1] (the differential equation in the operator form of Laplace)
where   Rmax – is ultimate recovery of the valuable components in the concentrate is set from 0 to 100% based on the experimental data of the flotation process, %; T – is time constant of flotation (constant of inertia), which is determined by the graphical method (see Fig. 2,  Fig. 3) on an experimental curve of the kinetics of flotation, secs; τ– is time delay, which is determined by the graphical method (see Fig. 2,  Fig. 3) on an experimental curve of the kinetics of flotation, secs; s – is complex variable (on Laplace).
 
Equations (2) and (1) are identical in nature, but (2) is written in the operator form and it is  convenient for modeling (using MATLAB).


3. Equation (inertia model) of flotation rate of the first order with delay [1] (the differential equation in the operator form of Laplace)

where   Rmax – is ultimate recovery of the valuable component is set from 0 to 100% based on the experimental data of the flotation process, %; T – is time constant of flotation (constant of inertia), secs; τ – is time delay, secs; s – is complex variable (on Laplace).



4. Equation (inertia model) of flotation kinetics of second order with delay
where Rmax – is ultimate recovery of the valuable component is set from 0 to 100% based on the experimental data of the flotation process, %; T2 – is time constant of flotation (constant of inertia), secs; τ – is time of pure transport delay, secs; τtr – is time of transition delay, secs; s – is complex variable (on Laplace).
Parameters T2, τtr  are determined by known analytical tables.
So in our case for the second-order accuracy the parameters of inertia model are T2 = T / 2.72,  
τtr = 0,107 · T  .
The parameters T and τ are experimentally determined graphically on the experimental time curve (see. Fig. 2,  Fig. 3).

5. Equation (inertia model) of flotation rate of the second order with delay

where Rmax – is ultimate recovery of component is set from 0 to 100 % based on the experimental parameters of the flotation process, %; T2 – is time constant of flotation (constant of inertia), secs; τ - is time of pure transport delay, secs; τtr – is time of transition delay, secs; s – is complex variable (on Laplace).

Ph.D. Igor Bobin, Ph.D. Natalia Petrovskaya. Experimental dependence of the kinetics of zinc flotation 1 and analytical dependence of zinc flotation kinetics of the first order of accuracy 2 and of the second order of accuracy 3 obtained by simulation

  Fig. 4. Experimental dependence of the kinetics of zinc flotation 1 and analytical dependence of zinc flotation kinetics of the first order of accuracy 2 and of the second order of accuracy 3 obtained by simulation
 
Ph.D. Igor Bobin, Ph.D. Natalia Petrovskaya. Fig. 5. Analytical dependence of the zinc flotation rate of the first order of accuracy 1 and of the second order of accuracy 2 obtained by simulation
Fig. 5. Analytical dependence of the zinc flotation rate of the first order of accuracy 1 and of the second order of accuracy 2 obtained by simulation

Formulas (2) and (4) are transfer functions W(s) for model of the flotation kinetics R (t). Formulas (3) and (5) are transfer functions W(s) for model of the flotation rate (velocity) v(t). For practical modeling of flotation kinetics (e.g. using Simulink) enough to apply the unit constant value 1(t) to the input of a system described by transfer function (2), (3), (4) or (5); then from the output of the system, we obtain the corresponding kinetics curve R(t) or flotation velocity curve v(t) (See. Fig. 6). It is the most convenient and simple way of modeling of the flotation kinetics and the flotation rate. Also, the expressions (2), (3), (4) and (5) allow to model the dynamics of flotation.
Formulas (2) and (4) are transfer functions W(s) for model of the flotation kinetics R (t). Formulas (3) and (5) are transfer functions W(s) for model of the flotation rate (velocity) v(t). For practical modeling of flotation kinetics (e.g. using Simulink) enough to apply the unit constant value 1(t) to the input of a system described by transfer function (2), (3), (4) or (5); then from the output of the system, we obtain the corresponding kinetics curve R(t) or flotation velocity curve v(t) (See. Fig. 6). It is the most convenient and simple way of modeling of the flotation kinetics and the flotation rate. Also, the expressions (2), (3), (4) and (5) allow to model the dynamics of flotation.
Fig. 6. Practical simulation of the flotation kinetics and the flotation rate using equations (2), (3), (4) and (5)
 
The requirement for further enhancing the accuracy of modeling necessitates use in a model increasingly complex differential equations. For example, in applications requiring higher accuracy of calculations, for mathematical description of the flotation kinetics and the flotation rate can be used the inertial models of second or higher order with delay. Especially recommended to use similar models (4) and (5) to describe the kinetics and dynamics of the flotation of minerals with S-shaped experimental curves of the time. In this case, in the simulation, the shape of the analytical curves of kinetics and dynamics corresponds to the shape of the experimental curves. What could be more important in the optimization of the ore flotation process. Practical simulation of flotation kinetics with Bobin’s equations (2), (3), (4) and (5) may be performed using any system of computer mathematics. For example MATLAB. Bobin’s equation (1) is less demanding on the researcher's toolbox, you'll only have possession of MS Excel or even a manual calculation.
 
References

1. I.  Bobin,  N. Petrovskaya. USAGE OF INERTIAL MODELOF 1ST ORDER WITH DELAY FOR ANALYSIS OF KINETICS OF FLOTATION, 2008.
2. MINERAL MODELING

Ph.D. Igor Bobin, Ph.D. Natalia Petrovskaya.  December 19, 2015