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Simulation of Mixing Processes -...
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VisiMix
Simulation of Mixing Processes
VisiMix Ltd,
PO Box 45170,
Jerusalem, 91450,
Israel
Tel: 972 - 2 - 5870123
Fax: 972 - 2 - 5870206
E-mail: [email protected]
Contents
• Introduction
• Applications – R&D
– Design
– Production
– QdD
– Management – Saving more than 1 M$
• VisiMix Products
• Conclusions
About Us
VisiMix is a unique software enabling
chemical engineers, process engineers and
R&D personnel to visualize mixing processes
via a simple, user friendly interface.
Our products allow significant savings in time
and costs by drastically reducing the need for
trial-and-error. They have been successfully
adopted by hundreds of companies.
Customers and Markets
What Our Customers Say About Us From the Dow Chemicals Intranet Website
“VisiMix: This is a highly accessible PC software for mixing
calculations available from VisiMix Ltd., an Israeli
company. It is a rating calculation tool for both non-
reactive and reactive mixing involving blending, solid
suspension, gas dispersion, liquid-liquid dispersion, or
heat transfer processes in stirred vessels. It calculates the
important process parameters for single- and two-phase
systems – power consumption, circulation rates, local
concentrations of solutes and suspended particles, drop
size, concentrations of reactants, etc … ”
Dr. Victor Atiemo-Obeng
Dow Chemicals Co.
What Our Customers Say About Us
“We have been using VisiMix. We have found it an accurate tool ...
Based on our success with the product, our Japanese colleagues at
Fuji Xerox have bought a copy for their work.”
Emily Moore,
Xerox Research Center of Canada
Customers and Markets 1.3M, USA 2.Afton, USA 3.Air Products, USA 4.Alkermes 5.AllessaChemie 6.ASEPCO 7.Ashland Hercules 8.BASF, USA 9.Belinka Belles 10.Celgene 11.Chemagis 12.DeDietrich 13.Dow chemical 14.Eni - Milan 15.Evonik Degussa 16.GE Technologies 17.GE Healthcare 18.Global Tungsten & Powders .
19.Honeywell-UOP 20.Ineos Styrenics 21.Lubrizol 22.Merck - Schering-Plough 23.Mitsubishi 24.NALAS-Jerry Salan 25.Nan Ya Plastic 26.Nippon 27.Novartis 28.NRDC, India 29.Ocean 30.Pfizer 31.Polimeri 32.Praxair 33.Ranbaxy 34.Samsung, Korea 35.Sunovion Sepracor 36.SES
37.Solvay 38.Tecnicas Reunidas 39.Tecnimont, Italy 40.Teva Global 41.US Navy, USA 42.Alcon, USA 43.Arizona Chemical 44.JM Huber 45.Jotun 46.Lek 47.Matrix\Mylan 48.MJN - Mead Johnson Nutrition 49.Ranbaxy 50.R.C.Costello 51.Styron 52.Tami 53.Taro 54.Xellia 55.Ash Stevens Inc…….
Total > 200 customers
Introduction
• This web seminar will focus on the influence of hydrodynamics and mixing parameters in the process for every step of a typical synthesis procedure, from reactions to crystallizations.
• We will make a connection between the process and the mixing parameters and complete our understanding of the main parameters we have to take in account in order to have a complete understanding of the process, through different examples, some of which were presented in our International Conference in Boston – June 2011.
Simple and Effective Technology - Simulation of Mixing Processes
Simple and Effective
The First and the only tool in the Industry
Reliable and accurate results
Based on More Than 300 Man Years of R&D and
Industry Experience
Replacing Pilot Experiments
Accelerated Time-to-Market process
User Friendly and easily accessible
Technology - Simulation of Mixing Processes
Common Questions
Did we cover the main parameters during the process
development?
Will our facilities will be appropriate for the developed
process?
Does the equipment offer is good for the process?
What about safety and runaway scenario?
Do our process is robust?
Does the operational range parameters are large enough for
the manufacture facilities?
The Goal Once the Science of the process (Chemistry, Biology or physics) is known well, a common situation during the process transfer from lab to production or from site to site is the gap between the old and new results. Our first goal is to develop a process that will run properly in
the first trial on a new scale or site, similar to our successful results in the lab or in the old facility.
In order to achieve this, we need to evaluate the process with the same conditions we will have in the production phase. The main parameters we change are the hydrodynamics of
the system. If we are able to identify and control these parameters we will be able to achieve to the available and optimal solution.
Pharmaceutical Industry
• Active Pharmaceutical Ingredient (API)
16יוני 02
Pharmaceutical Quality by Design • This FDA imperative is best outlined in its report “Pharmaceutical
Quality for the 21st Century: A Risk-Based Approach.”[*]
• In the past few years, the Agency has made significant progress in implementing the concepts of "Quality by Design" (QbD) into its pre-market processes.
• The focus of this concept is that quality should be built into a product with a thorough understanding of the product and process by which it is developed and manufactured along with a knowledge of the risks involved in manufacturing the product and how best to mitigate those risks.
• This is a successor to the "quality by QC" (or "quality after design") approach that the companies have taken up until 1990s.
* Pharmaceutical Quality for the 21st Century: A Risk-Based Approach http://www.fda.gov/oc/cgmp/report0507.html
QbD activities within FDA Overall implementation of QbD:
• In FDA’s Office of New Drug Quality Assessment (ONDQA), a new risk-based pharmaceutical quality assessment system (PQAS) was established based on the application of product and process understanding.
• Implementation of QbD for a Biologic License Application (BLA) is progressing.
While QbD will provide better design predictions, there is also a strong recognition that industrial scale-up and commercial manufacturing experience provides new and very important knowledge about the process and the raw materials used therein. This vigilant and nimble approach is explained by FDA to be essential to best protect the consumer (patient).
http://en.wikipedia.org/wiki/Quality_by_Design
API Batch Process Simulation – Scale Up Methodology. Roberto Novoa and Moshe Bentolila
QUALITY BY DESIGN
Establish: Critical Quality Attributes
Determine:
Critical Process Parameters
Define: Design Space
Set: Control Strategy
Quality by Design – Statistical Challenges Yi Tsong,. CDER, FDA 2007 FDA/Industry Statistics Workshop
Mixing Simulation Software
R&D
Production
Design
QbD
Data and Results Management
Management Example
o The need for maximizing efficiency of a mixing
process by compiling all its elements into a
common database.
o The need for better understanding between the
mixing process and its impact on the entire process
and a simple solution to achieve this
o The need to create a common language within the
company in order to achieve better communication
with regards to these processes.
© The Lubrizol Corporation 2011, all rights reserved
Application & Adoption of
Rigorous Mixing Discipline
into a Pilot Plant Environment
Cliff Kowall, Senior Process Development Engineer
Lubrizol Corporation
July 15, 2011
© The Lubrizol Corporation 2011, all rights reserved
Mixing Scale-Up
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Full-Scale
Manufacturing
(1,000’s of tons)
Pilot-Scale
Manufacturing
(10’s of tons)
Laboratory
Scale
(pounds) Blend Scale
(tons)
Typical development order
Special products
Final Customer
The goal is to make
consistent quality at
all levels of manufacture
© The Lubrizol Corporation 2011, all rights reserved
Trajectory for Development of Mixing Activity
Starting Point
• Define need
• Base knowledge
1st Steps
• Identify & current tools
• Correlation approach
• Identify new tools
2nd Steps
• Evaluate tools
• Demonstrate valve
Current Status
• Select best tools
• Implement among users
• Institutionalize within organization
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© The Lubrizol Corporation 2011, all rights reserved
2nd Step Results
• Developed knowledge of correlation-based approaches
• Searched for non-CFD based mixing programs
• Found VisiMix™ software being used in other parts of company
• Established contact with VisiMix™ company
– Trial copy for evaluation
– Validation
• Tracer work in lab
• Compared with correlations
• Visual work was useful for communication to uninitiated
– Justified one license
• Applied to larger applications outside of the lab
• Realized the need for better archive data on mixing vessels
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© The Lubrizol Corporation 2011, all rights reserved
Current Status
• Wide adoption of VisiMix™ software
– Network licenses
– Training for all engineers
– Identified both an operational and a computational focus person
– Communicated need for better data
– Began more formal archiving of key design information
• Vessel characteristics
• Internals
• Materials of construction
• Use as a daily tool for operational work as well as design
of new equipment
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© The Lubrizol Corporation 2011, all rights reserved
Lessons Learned & Conclusions
• Mixing had been a neglected area of technical attention within our
company
• Value can best be generated by actual application in plants
• Value will be maximized by distributed knowledge among the plants
and technical areas
• Outside resources are useful but internal expertise is more timely for
actual applications
• Central expertise should be available for interpretation and deeper
study
• VisiMix™ software is a simple & effective tool which is easily used
by all engineers
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© The Lubrizol Corporation 2011, all rights reserved
Confidential & Proprietary
For Internal MJN Use Only
© The Lubrizol Corporation 2011, all rights reserved
PRODUCTS
MANUFACTURED
Powder
Infant and Children’s
products packaged
in cans and pouches.
Liquid
Infant formula in Ready-to-
Use and Concentrate
formats in cans and plastic
bottles.
Whether powder or ready to
use, liquid mixing is
Is a common theme.
© The Lubrizol Corporation 2011, all rights reserved
- How MJN was introduced to VISIMIX
- Opportunities that developed for VISIMIX
- Troubleshooting
- Training
- Design enhancement
- Productivity
- Continuing training opportunities
- What is next?
© The Lubrizol Corporation 2011, all rights reserved
As in most cases, the introduction of new capabilities- the
question arises:
Do you have a scenario of – “ A Solution looking
for a Problem”
As the software program may be Intuitive in it’s use, the
applicability relies on how well one understands the capability of
the software.
- MJN requested additional training through Dr. Moshe Bentolila
- Reviewed internal manufacturing mixing requirements.
© The Lubrizol Corporation 2011, all rights reserved
Troubleshooting
Case study:
A multi-component mixing – a 2 solids – 2 liquids (one which
is immiscible) – the degree of reaction or result was not
consistent, causing failed batches.
The case was analyzed to help provide an answer to the
persistent issue.
- Understand the component individually.
- Understand the combined effect over time.
- Simulation of the mixing at varying points in time.
© The Lubrizol Corporation 2011, all rights reserved
Liquid-Solid Mixing Result Comparison- General Flow Pattern at Initial
60RPM 100RPM
© The Lubrizol Corporation 2011, all rights reserved
Productivity
Case study # 1: At one manufacturing plant, completion of
reaction was always achieved through an adjustment of the
quantity of a component. With calculated quantities, results
were lots that had to retested or reprocessed. Increased
component usage while inefficient, this became an accepted
practice.
An analysis of the mixing action was conducted, looking at
initial viscosities, mid-point in the reaction and end-point in the
reaction, solids levels, etc.
Results indicate the mixing was at times achieved but needed
to be enhanced through the use of baffles. Addition of the
baffles resulted in a 10% reduction of the component for the
reaction.
© The Lubrizol Corporation 2011, all rights reserved
Training
Visual aids in the Visimx software helps promote faster
learning to understand the nuances behind mixing for the
process engineers – both old and new.
Manufacturing infant formula requires controlled agitation
to prevent the introduction of the air into the mix for
reasons of preventing nutrient degradation and reduce
microbiological risks, thus it is desired that you have a
well controlled mixing in the tanks.
Understanding the axial, radial flow and pumping capacity
of the different agitator designs helps the engineers grasp
the concept of a good mixing action when setting
experimental trials of new formulations. The desire to
handle gently has been paramount to prevent any product
degradation throughout the system.
R&D - Example
Application of Visimix to the Characterization of Lab Reactors
Reinaldo M. Machado
2011 VisiMix International Conference: The Influence of
Mixing in Your Process Boston USA
July 13-15, 2011 rm2technologies LLC
• Reactor
– T = 70 mm
– Maximum recommended liquid height Z=140 mm
• Impeller
– 1, 2 or 3 depending up reactor fluid and liquid height
– Non - standard 4 blade pitched(45 o ) blade
– D = 38 mm
– C = 10 mm
– Distance between impellers = 29 mm
• Baffles
– 3 x 24 mm x 25 mm
– Pre - positioned between impellers
ppt00 35
rm2technologies LLC
Estimating blend time in the Mettler-Toledo RC1 MP10 reactor
Q
l/min
uniformit
y index
0.2 to 1
time, seconds,
to achieve 90%
uniformity
rp
m
VisiMix lab VisiMix
30
0
4.2 0.29 220 146
40
0
5.7 0.31 86 92
50
0
7.4 0.34 53 64
Time, seconds 0 30 60 90 120 150
4
6
2 Reacto
r D
T,
(To
p-B
ott
om
), O
C
0
400 rpm Re = 40
500 rpm Re = 50
300 rpm Re = 30
2 Liter Lab Reactor, T =10 cm; Marine Propeller, D =6.9 cm;
Fluid m =985 cp, r =1.25 gm/cc V =1.2 liters
VisiMix simulation for
500 rpm
Characteristic function of tracer distribution
0 50 100 150 Time, seconds
Loc
al c
once
ntra
tion
1
2
3
VisiMix model of MP10 showing “mean” velocity
pattern at 500 rpm
(c) Reinaldo Machado; rm2technologies LLC 2011
ppt00 36
rm2technologies LLC
VisiMix predictions and Experiments for Heat Transfer with Anchor Impeller with Glycerol in the RC1 MP10 glass lab reactor
Inlet
Jacket
Temp. oC
Reactor
Temp. oC
Reactor
fluid
m, cP
Re Overall Heat
transfer coeff. U
W/(m2 K)
Heat
removal
rate, W
Experiment
14 25 940 13
58.1 25.0
VisiMix 59.5 27.0
Experiment
31 40 274 43
68.4 25.0
VisiMix 70.5 26.2
Experiment
48 55 89 133
83.7 25.0
VisiMix 80.0 23.2 (c) Reinaldo Machado; rm2technologies LLC 2011
ppt00 37
rm2technologies LLC
Mettler Toledo AP01-0.5
• Reactor
– T = 70 mm
– Maximum recommended liquid height Z=140 mm
• Impeller
– 1, 2 or 3 depending up reactor fluid and liquid height
– Non - standard 4 blade pitched(45 o ) blade
– D = 38 mm
– C = 10 mm
– Distance between impellers = 29 mm
• Baffles
– 3 x 24 mm x 25 mm
– Pre - positioned between impellers
The unique baffle
and agitator design
is appropriate for
mixing diverse
liquid chemical
systems, from
high-viscosity
laminar flow to low-
viscosity multi-
phase turbulent
flow.
(c) Reinaldo Machado; rm2technologies LLC 2011
ppt00 38
rm2technologies LLC
Comparison of Power Numbers and “macro-mixing” Number of impellers 1 1 2 2 3 3
Agitation rpm 900 300 300 120 300 100
Re 26.0 8.7 8.7 3.5 8.7 2.9
VisiMix 1/Tcirculatio
n 1/s 0.400 0.087 0.139 0.055 0.166 0.054
Experimental kmix thermal 1/s 0.113 0.035 0.044 0.017 0.050 0.017
VisiMix kmix
composition 1/s 0.0132 0.0015 0.0074 0.0026 0.0061 0.0020
VisiMix Power number 4.5 8.7 16.3 40.2 24.3 71.0
Experimental Power number 4.9 12.7 16.5 39.9 21.9 62.8
• Reactor
– T = 70 mm
– Maximum recommended liquid height Z=140 mm
• Impeller
– 1, 2 or 3 depending up reactor fluid and liquid height
– Non - standard 4 blade pitched(45 o ) blade
– D = 38 mm
– C = 10 mm
– Distance between impellers = 29 mm
• Baffles
– 3 x 24 mm x 25 mm
– Pre - positioned between impellers
Note that thermal uniformity in liquids is achieved much more
efficiently than composition uniformity and explains
inpart the difference between VisiMix and the
thermal tracer method. Pr << Sc (c) Reinaldo Machado; rm2technologies LLC 2011
ppt00 39
rm2technologies LLC
Characterization of lab impellers key to use of models: VisiMix flat turbine impeller width adjusted to match Power number of the lab agitator Experimental values for HP60,
T=10 cm;
standard gassing impeller
D=4.7mm, W=10mm;
fluid at 140oC, VL=1.089 liters,
surface tension=26 dyne/cm,
viscosity=0.25 cP, density=930
gm/liter.
VisiMix estimate
w/ impeller
power matched
to experiment
(blade width =
4.4 mm power
number Np=1.7)
VisiMix estimate
w/ true impeller
blade width =10
mm power
number Np=3.5
super-
ficial
velocity
agitator
power
H2
mass
transfe
r coeff.,
kLa
agitator
power
H2
mass
transfe
r coeff.,
kLa
agitator
power
H2
mass
transfe
r coeff.,
kLa
rpm cm/s W/kg 1/s W/kg 1/s W/kg 1/s
800 0.16 0.8 0.15 0.9 0.029 1.8 0.066
1000 0.23 1.6 0.23 1.7 0.074 3.5 0.18
1200 0.31 2.7 0.33 2.9 0.16 6.0 0.40
1400 0.49 4.6 0.42 4.6 0.33 9.6 0.87
VisiMix model of HP60 w/
single baffle; gassing impeller is
modeled as a flat blade turbine
With Np=1.7.
(c) Reinaldo Machado; rm2technologies LLC 2011
ppt00 40
rm2technologies LLC
Summary of differences in model approximations for VisiMix at 1400 rpm
Blade width, mm 4.4 (flat blade turbine
adjusted to match
measured power)
10 (actual width of
impeller)
kLa, s-1 0.33 (exp. = 0.42) 0.87
vortex depth, cm 2.1 (exp. vortex ~2.5
cm)
3.6
average energy dissipation,
W/kg
4.6 9.5
gas hold-up 3.5% 5.5%
Sauter mean bubble, mm 1.8 1.4
circulation rate, liters/s 1.7 2.4
micro-mixing time, s 0.14 0.088
circulation time, s 0.64 0.46
measured kLa =0.42 s-1
@4.6 W/kg
(c) Reinaldo Machado; rm2technologies LLC 2011
ppt00 41
rm2technologies LLC
What about the scale-up of mass transfer? plant & lab raw materials & catalyst are from same lots numbers
mixing in lab reactor measured and kLa > 0.4 s-1; mass transfer is
very fast compared to reaction so that CH2,bulk lab = CH2,sat lab
lab reactor pressure was adjusted to match plant rate profile
– RC1 programmed to match exact temperature profiles of plant
– when plant = 800 psig and lab = 700 psig the rates are equivalent
plant RC1 HP60
volume 3300 gal 1.0 liter
agitation 84 rpm 1400 rpm
Impeller
diameter
type
40 inch
2x flat
turbines
1.8 inch
gassing
pressure 800 psig 700 psig
kLa from scale-
down
0.052 s-1
kLa from VisiMix 0.062 s-1
lab saturated Hplant saturated H
plant
plantbulk Hlab saturated Hlabbulk H
22
222
CC
rateak
CCC
L
HP60
plant
(c) Reinaldo Machado; rm2technologies LLC 2011
ppt00 42
rm2technologies LLC
So what have I/we learned?
VisiMix predictions and lab reactors mixing measurements
agree well when reactor geometries match and physical
properties are known.
If lab reactor geometries do not match the catalogue of
available geometries in VisiMix, geometric approximations
must be made.
– For power and heat transfer, errors appear to be insignificant.
– For solid suspension, phase dispersion and circulation
more detailed mixing data for the lab reactor is necessary to adjust the approximations.
validations may be necessary.
The limitations of lab mixing characterization methods such
as thermal tracing must be considered when using them for
scale-up or matching more detailed VisiMix models.
(c) Reinaldo Machado; rm2technologies LLC 2011
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Design - Example
Design Example
CRYSTALLIZER. SCALING-UP • The process rate and particle size distribution in crystallization and
precipitation processes are dependent on chemical composition and physico-chemical properties of the system.
• In the same time they can be substantially dependent also on some phenomena that are functions of mixing conditions – for example, on primary and secondary nucleation, attrition and breakage of crystals, distribution of solid phase and liquid-solid mass transfer.
• The following example is related to a particular case when the crystallization is controlled mainly by these parameters, and scaling-up conditions include reproduction of these phenomena.
• The corresponding parameters selected from the list of VisiMix outputs and used below for crystallization scale-up are presented in the Table.
This example is based essentially on the article ‘Optimizing Crystallizer Scaleup’ by Wayne J. Genk , Chem. Engng. Progress, June 2003, pp. 36-44
For calculation of the Mass transfer coefficient, it is necessary to enter a number of additional initial data, including the Diffusivity of the solute. In our case the problem consists not in prediction, but in reproduction of the same value of the Mass transfer coefficient.
Reactor Configurations
Pilot Production Design
Results
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De Dietrich - Example
http://www.ddpsinc.com/MixingSimulations.htm
De Dietrich - Example
http://www.ddpsinc.com/Visimix.htm
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QbD - Example
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Methodology (J.M. Berty, CEP, 1979)
LABORATORY
(R&D)
PILOT
(Pilot)
Demo – Simulation (Visimix, Dynochem,CFD)
PLANT
(Production)
BENCH SCALE (RC1,Mini Pilot)
LABORATORY
(R&D)
PILOT
(Mini Pilot)
PLANT
(Pilot,Production)
BENCH SCALE (RC1, HEL)
Scale
Down
Final
Design Build
16יוני 02
QbD
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Lab and Prod Calculations
Moshe Bentolila, Roberto Novoa, and Wayne Genck, Michal Hasson, Efrat Manoff, "Computer Aided Process Engineering at Chemagis" , PHARMACEUTICAL ENGINEERING July/August 2011. 30-38
Non ideal stirring – non homogeneity • Before performance of scale up experiments
VisiMix simulation was used to check suspension at different Mini Pilot Reactors:
Reactor 7603 7605 7605 7607
Volume, L 10 25 25 50
RPM 500 (Max) 400 500 (Max) 150 (Max)
Main Characteristic
Liquid – Solid Mixing
Solid suspension quality
Complete suspension is questionable.
Partial settling of solid phase may
occur.
Complete suspension is
expected.
Complete suspension is
expected.
Complete suspension is questionable.
Partial settling of solid phase may
occur. Max. degree of non uniformity of solid
distribution
AXIAL, % 22.3 10.3 29.1 132
RADIAL, % 65.7 34.3 76.3 90.8
Not all Mini Pilot reactor are capable of full suspension of POCA.
Process parameters vs. constraints
Case Target Function Yield EOR [hr] Stirrer [rpm] TEMP [0C]
A
High demand to the product and the
reactor.
Yield →max, EOR≤8
98.1 8 546 26
B
The price of the product equals 10 times
the value of reactor availability.
(10∙yield-EOR)→max
98.4 8.3 623 25
C
High demand of the product with low
availability of reactors. One hour of
available reactor equals 10 times yield.
(1∙yield-10∙EOR)→max
95.2 1.5 483 39
D
High availability of reactors, High cost of
impurity purification.
(10∙yield-10∙IMAM-1∙EOR)→max
98.9 14.4 637 20
Bentolila, M., Kennet, R., “Scale-up Optimization Using Simulation Experiments,” presented at the American Institute of Chemical Engineers (AIChE), Palm Springs California, 11-16 June 2006.
Methodology
In the three years since the commencement of this process, their engineers achieved a high level of proficiency in the use of the simulation models in order to analyze the results as a function of the process operational parameters. After three years of working with this integrated plan – they have summarized their knowledge and experiences up to this point, as follows: 1. VisiMix products, when integrated in the validation process (up until they
achieved a stable process and confirmed the production) – helped to reduce the number of lost production batches (each batch valued in millions of dollars) - from 100 to just under 10 batches – (review slide 25)
2. VisiMix program used in conjunction with another simulation tool - as
reported in this presentation - contributed to the improvement of the teamwork style and professionalism. Net results were observed throughout the implementation of the new solution in better project development: EOR (end of reaction) time reductions, projects development time and cost reduction, and in addition - increasing the expertise and qualification level of the professional staff.
The presentation can be review on the Visimix Website in the References - Users Publications page. (Scale up optimization using simulation experiments-Chemagis
presentation) 02 16יוני
Methodology
16יוני 02
# produced lots needed until till a stable process is achieved
Productivity - Example
• Production Example
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Safety - Example
SECOND ORDER EXOTHERMAL REACTION IN A BATCH REACTOR
• This example shows how to simulate 2nd order exothermal reaction carried out in a stirred batch reactor.
• VisiMix performs simulation of exothermal reaction based on the analysis of the equipment and process parameters, and helps avoid runaway reaction that may take place when the energy generated by the reaction is greater than the energy removed from the reactor.
Process Safety Example
Problem description:
A second order irreversible reaction is carried out in a stirred batch reactor. This
reaction is run according to the stoichiometry
A + B C
The equation for the reaction rate is:
r = k CA CB
where
r is reaction rate, moles of A/(Lsec);
k is reaction rate constant, L/(molesec); CA is concentration of reactant A, mole/L; CB is concentration of reactant B, mole/L.
The reaction rate constant is a function of the system temperature and is given by
k = k0 e -E/RT
where
k0 is Arrhenius constant, L/(molesec);
E is energy of activation, kJ/mole;
R is gas law constant, J/(moleK); T is absolute temperature, K.
Results
Before Cooling Operation After Cooling Operation
VisiMix Products
VisiMix software:
• Based on advanced scientific knowledge and practical
expertise
• User-friendly and easy to operate
• Requires easily accessible initial data
The latest VisiMix products are:
• VisiMix 2K8 Turbulent
• VisiMix 2K8 Laminar
• VisiMix 2K8 Different Impellers
• VisiXcel- Data Base
• Pipe Line
• Rotor Stator Disperser – RSD
Introduction
NEW!
VisiMix Products
• VisiMix 2K8 Turbulent – for low-viscosity liquids and
multiphase systems.
The program provides process parameters necessary for
analysis, scaling-up and optimization of mixing tanks and
reactors with all types of impellers
VisiMix Software Products
Calculations of:
Blending
Suspension
Dissolution
Emulsification
Gas dispersion
Heat transfer
Chemical reactions
Mechanical stability of shafts
VisiMix Products
• VisiMix 2K8 Laminar - for highly viscous media
VisiMix Software Products
• pastes
• creams
• shampoos
• liquid soaps
• gels
• ointments
• paints:
• coatings
• slurries
• polymer solutions
Newtonian and non-Newtonian
Macro-scale blending
Micromixing in high-shear areas
Heat transfer
VisiMix Products
• VisiMix 2K8 Different Impellers – for combined mixing
devices
VisiMix Software Products
The program handles mixing devices consisting of any 2 – 5
impellers.
Different distances between impellers
Used in combination with VisiMix Turbulent.
Provides parameters of hydrodynamics, turbulence and heat
transfer.
VisiMix Products
•VisiMix VisiXcel – Data Base (DB) – automatic conversion tool:
Visimix Output to Excel Spreadsheet
•Integrates VisiMix report parameters in standard Excel worksheets
•Analysis VisiMix results in Excel
•Builds a Database of mixing tanks and reactors.
•Builds a Database of projects - for processes
•Makes correlation between plant equipment nomenclature to VisiMix
database of mixing tanks and reactors in VisiMix Project Database.
•Easy access to design data of the mixing tanks, to process
parameters and to corresponding results of VisiMix modelling.
•Results of VisiMix mathematical modelling in the VisiMix VisiXcel-DB
and arrange the data according to the reactor nomenclature.
• Easy access to recalculation of the VisiMix modelling from the
Database of the reactors & the projects
VisiMix Software Products
•VisiMix Pipe-Line
• Calculates hydraulic resistance of simple pipelines for liquid
viscosity and non-Newtonian products.
• Chemical engineers benefit from a quick and user friendly method
for charging times and the bottle-necks in the line.
• Includes : - Pipes - Riffled hoses – Elbows – Valves - And more
• Also comes with a database containing rheological constants for
the typical commercial non-Newtonian products - pastes, creams,
shampoos, paints, etc. (see Help Section for details)
• The first and only tool calculating flow resistance for liquids that
correspond to Carreau rheological model. (See Help Section for
details)
VisiMix Software Products
VisiMix Products
VisiMix Products
VisiMix Software Products
• VisiMix RSD (Rotor Stator Disperser)
The revolutionary new VisiMix RSD - Rotor Stator Disperser software is the first product of its kind that provides support for mixing devices for media subjected to high sheer stress: Based on 3 years dedicated research in a lab with dedicated equipment Works with all types of media - both high and low viscosity liquids, Newtonian and Non-Newtonian. Input geometrical data and process parameters and obtain fast and reliable results with one click VisiMix RSD enables you to quickly calculate · Shear rates and stresses in internal spaces · Pumping capacities
· Power consumption and torque
NEW!
VisiMix Orientation
The VisiMix Demonstration Tools:
VisiMix Demonstration Tools
VisiMix Turbulent – Examples & User Guide
VisiMix Laminar - Examples & User Guide
VisiMix Different Impellers – Examples & User Guide
VisiMix RSD– Examples & User Guide
VisiMix Turbulent SV – Trial & Education
VisiMix Review of Mathematical Models
Selected Verification Examples
The Comparison between Published Experimental Data and
VisiMix Calculations
http://www.visimix.com
Millions Saved By Using VisiMix! A Real Return On Investment (ROI).
VisiMix LTD, is pleased to provide you with some very important new information on VisiMix Savings, which we have compiled for publication. These documents, show savings of millions of dollars per year. Please click the links directly below to view the following savings examples: Mixing Calculations in Development (Saved - $1,000,000) Productivity Improvement In API Company (Saved - $1,600,000) RSD Application in a Chemical Reaction Process (Saved - $250,000) Control Morphology and P.S. in Energetic Material Processes (Saved - $900,000) Troubleshooting for Crystallization Processes (Saved $2,000,000) Troubleshooting in Life Science Industry (Saved €900,000) Three Phase System – Solid-Liquid-Liquid (Saved €1,200,000) Improve Dissolution of Organic Solid (Saved €1,200,000) Physical Properties of the Final Product (Solid) – Ensuring Regulatory Compliance of $20,000,000 Sales We also invite you to view some highlights from our very successful International Conference in Boston that took place in July 2011, which united users and future users of the VisiMix Software to share some insights into the various uses and benefits of the software.
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Conclusion Using VisiMix Products support you can
understand better your processes
Reduce dramatically your Scaling up processes and Scaling down
Save a huge amount of Time & Money ($1,000,000 +)
The VisiMix Products are friendly and easy to use with very quick results.
The VisiMix results are based on a systematic and seriously experimental checking – and found very reliable.
VisiMix Projects Parameters and Data Base allows you to share and transfer the data with colleagues in the company.
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If You Are Interested In Learning More
• India:
– Please call Dinesh Malviya at +91 9321024445
– e-mail Dinesh at [email protected]
• Mexico:
– Please call Ing. Vicente Cortes at +52 5555273838
– e-mail Ing. Cortez at [email protected]
• Colombia
― Please call Leonardo Rodriguez +57 315 305 950
― e-mail [email protected]
If You Are Interested In Learning More
• VisiMix
– Spain and South America
• Aura Portman +972 547449423
• e-mail [email protected]
– Rest of the World
• Marcie Forrest +972-2-587-0123
• e-mail [email protected]
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Thank you for your attention