FLUENT SIMULATIONS Clearwater AIChE - June 2006
SCOPE • • • •
What is FLUENT ? What are objectives and interests ? Focus on Agitation operation Some general examples of agitation results • Conclusions
FLUENT WHAT IS FLUENT ?
Presentation of FLUENT • Program for Fluids simulations in any geometry (standard and not standard) • Based on Computational Fluid Dynamics • Based on resolution of equations for conserved properties: – Heat transfer – Mass transfer – Momentum transfer
FLUENT strategy • Modelisation of the geometric system • Meshing of this geometry: discretization in small cells • Resolution of continuity equations by successive calculations in each cell
FLUENT strategy • Geometry definition
FLUENT strategy • meshing
FLUENT WHAT ARE THE OBJECTIVES AND INTERESTS ?
FLUENT objectives Objectives: to be able – To study and visualize the fluid motion in any size tank – To improve process performances by simulating alternative designs – To have flexiblity for changing quickly any parameters (optimization)
FLUENT objectives NUMERICAL SIMULATIONS allow: ⇒To create a large potential of investigation ⇒To obtain prediction of fluid motion ⇒To favour development, optimization and innovation ⇒To save time, money and man power
FLUENT activities Main FLUENT interests for chemical process: – Chemical reactions – Heat and mass transfer – Sedimentation of solids particles – Multi-phasis systems (absorption, separation, …) – Agitation operation – Etc….
FLUENT simulations
FOCUS ON AGITATION
Agitation with FLUENT How to design a good agitator ?
Stirred tank
Agitation with FLUENT Loocking for :
– Quick dispersion and homogeneization – Adequate pumping flow – Efficient solids suspension – Efficient mixing and chemical reaction – Minimum of dead zone and by-pass flows – Optimization of power consumption
FLUENT simulations AGITATION PARAMETERS • • • • •
type of impeller (axial or radial) type of tank Number of impeller position of impeller(s) Standard or not standard geometry
Type of impeller
Types of tank
Number of impeller
FLUENT simulations SOME GENERAL EXAMPLES... - flow patterns - blending time - solids suspension - some ‘’sexy’’ video
FLUENT simulations Tank fitted with 1 or 2 impellers
FLUENT simulations Impellers 4 PPR30° N
H
Hag1 Dag1 D
Case 0 • N=55 rpm • D=6600 mm • H=7200 mm • Dag1=2500 mm • Hag1=1600 mm • Down pumping
Single impeller Poor agitation on upper zone
NOT OPTIMAL FLOW FIELD
OK
single vs multi impeller(s) Position of single impeller: • To avoid solids sedimentation • Risk to create poor agitation on surface
Solution: • Increase rotation speed? No (danger abrasion) • Install a second impeller? Yes but…
FLUENT simulations Impellers 4 PPR30° N
Hag2
H Dag2
Hag1 Dag1 D
Case A • N=55 rpm • D=6600 mm • H=7200 mm • Dag1=2500 mm • Hag1=2.5 m • Dag2 =2500 mm • Hag2 = 5.5 m
Multi impellers • Baffles effect
• Second impeller action
Multi impellers 2 impellers could improve the mixing, BUT…
Multi impellers • Poor mixing at tank bottom
OK
BAD
Multi impellers
Multi impellers • Incorrect distribution of fluid velocity
OK
• Danger if solids BAD
Multi impellers • No cleaning effect at the bottom
• Not down pumping action
FLUENT simulations Impellers 4 PPR30° N
Hag2
H Dag2
Hag1 Dag1 D
Case B (change of position) • N=55 rpm • D=6600 mm • H=7200 mm • Dag1=2500 mm • Hag1=1.6 m • Dag2 =2500 mm • Hag2 = 5.1 m
Multi impellers • Better fluid motion and mixing at the bottom OK
Multi impellers • Good agitation at the bottom
Multi impellers • Correct velocity field OK
Multi impellers •Cleaning effect on the bottom
FLUENT simulations Influence of impellers position and number: Impact on flow patterns Impact on agitation efficiency Impact on blending time Impact on solids suspension
FLUENT simulations Influence of impellers position
Impact on solids suspension
Solids suspension Initial situation (solids deposit at bottom) Case B
Case A liquid
solids
Solids suspension Case A
37 sec
Case B
6 sec
Solids suspension Case A
115 sec
Case B
20 sec
Solids suspension Case B
Case A
720 sec
2317 sec
Very slow suspension
quicker suspension
FLUENT simulations Influence of impellers…number
Impact on the Blending time
Blending time What is the target ?
What What isis itit ?? • Required time for uniformity • Based on pulse of tracer • Monitoring over time of concentration at # locations top mid bottom cone
• • • •
To be minimized To have good mixing To avoid over-concentration To avoid loss of recovery as P2O5 UN and CO
Blending time Case A
Case B 1 impeller
2 impellers
+/- 80 sec
+/- 60 sec
FLUENT simulations
EXCITING DYNAMIC VIDEOS
FLUENT simulations
CONCLUSIONS ON FLUENT
Conclusions • • • •
Large potential of utilities Development and improvement of designs Save time and $$ PRAYON uses CFD to optimize its technologies
Thank you Have a good day