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SIMULATION AND ANALYSIS OF CYCLONE SEPARATOR l. OBJECTIVE Simulate the flow by varying the particle size through inlet. Simulate the flow by varying the…
Himanshu Chavan
updated on 01 May 2021
SIMULATION AND ANALYSIS OF CYCLONE SEPARATOR
l. OBJECTIVE
ll.INTRODUCTION
1. Cyclone Separator
The cyclone separator is a cylindrical or conical container which uses a vortex for removing particulates from an air, gas or liquid stream, without the use of filters.
Air flows in a helical pattern, beginning at the top end of the cyclone and ending at the bottom end before exiting the cyclone in a straight stream through the center of the cyclone and out the top.
Large particles in the rotating stream have too much inertia to follow the tight curve of the stream. Thus, they strike the outside wall and the fall to the bottom of the cyclone where they can be removed.
In a conical system, as the roatating flow moves towards the bottom of the cyclone, the rotational radius of the stream is reduced, thus separating smaller and smalleer particles.
2. Empirical Methods used to calculate the Cyclone Separator efficiency.
2.1 Lozia And Leith Model
Lozia and leith model assumes that aparticle carried by the vortex endures the influnce of two forces:
The collection efficiency ηican be calculated as follow-
ηi=11+(dpcdp)β
where,
2.2 Li and Wang Model
The Li and Wang model includes particles bounce or re-entertainment and turbulent diffusion at the cyclone wall. A two-dimensional analytical expression of particle distribution in the cyclone is obtained.
Li and Wang model was developed based on the following assumptions:
c=c0at θ=0 Dr(∂c∂r)=(1−α)ωcat r = D/2
The resultant expression of the collection efficiency for particle of any size is given as-
2.3 Kosh and Licht Model
Kosh and Licht collection theory recognized the inherently turbulent nature of cyclones and the distribution of gas residence times within the cyclone.
Kosh and Licht described motion in the entry and collection regions with the additional following assumptions:
A force balance and an equation on the particles collection yields the grade efficiency-
Where,
G→A factor related to the configuration of the cyclone
n→A factor related to the vortex
τ→A relaxation term
2.4. Lapple Model
Lapple model was developed based on force balance without considering the flow resistance.
Lapple assumed that a particle entering the cyclone is evenly distributed acress the inlet opening. The particle tha travels from inlet half width to the wall in the cyclone is collected with 50%efficiency. The efficiency of collection of any size of particle is given by-
lll.PROBLEM STATEMENT
1. The fluid flowing throught the model is air.
2. The particle flowing through the model is anthracite with sizes varrying from 1μm , 3μm ,5μm
3. The velocity of flowing particles through the model varry from 1m/s , 3m/s , 5m/s.
lV. SPACECLAIM GEOMETRY
1. Solid Model
2. Fluid Volume
lV. MESH SETUP
1. Method: Body Fitted Cartesian
2. Number of Nodes: 456576
3. Number of Elements: 427841
5. Mesh Quality
V. BOUNDARIES
The boundaries of the geometry are generated using named selection feature of Ansys:
Vl. SIMULATION SETUP
1. Solver: Steady State
2. Type: Pressure Based
3. Graviational Accelaration:
4. Turbulance Model: k-Epsilon(RNG) with Swirl Dominated Flow
5. Cell Zone Conditions:
6. Discrete Phase Model:
Interaction with Continuous Phase
Update DPM Source Every Flow Iteration
Injection Name: injection_0
Injection Type: Surface
Release From Surfaces: Inlet
Particle Type: Inert
Material: Anthracite
Point Properties: X-Velocity = 3 m/s
Diameter: 1e-6 m
Total Flow Rate: 1e-20 kg/s
7. Boundaries:
Velocity: 3 m/s
DPM Boundary Types: Reflect
8. Solution Methods: SIMPLE
9. Initialization:
# Solution and Meshing setup remains same for all the following case.
DIVISION |
CASE |
X-Velocity(m/s) |
Diameter of Particle (m) |
CASE 1 |
A1 |
3 |
1 e-6 |
A2 |
3 e-6 |
||
A3 |
5 e-6 |
||
CASE 2 |
B1 |
1 |
5e-6 |
B2 |
2 |
||
B3 |
3 |
||
B4 |
4 |
||
B5 |
5 |
Vll. Case 1
A1.
A2.
A3.
Vlll. Case 2.
B1.
B2.
B3.
B4.
B5.
lX. OBSERVATION
CASE 1:
Particle Size | Particle Tracked | Escaped | Trapped | Incomplete | Separation Efficiency |
1μm | 378 | 161 | 184 | 33 | 48.67% |
3μm | 378 | 140 | 186 | 88 | 49.20% |
5μm | 378 | 81 | 196 | 101 | 51.85% |
CASE 2:
Velocity | Particle Tracked | Escaped | Trapped | Incomplete | Separation Efficiency (%) | Pressure Drop (N) |
1 m/s | 378 | 107 | 112 | 159 | 48.46 | 2.49 |
2 m/s | 378 | 88 | 241 | 56 | 63.08 | 11.96 |
3 m/s | 378 | 81 | 196 | 101 | 51.7 | 27.37 |
4 m/s | 378 | 66 | 311 | 1 | 82.64 | 49.64 |
5 m/s | 378 | 87 | 287 | 4 | 75.92 | 78.86 |
X. CONCLUSION
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