Post on 31-Dec-2015
description
v4.03.02.01.00.0-1.0-2.0-3.0-4.0-5.0-6.0-7.0-8.0
u8.07.57.06.56.05.55.04.54.0
UBC Mechanical Engineering CFD Modeling Group
Dr. Martha SalcudeanWeyerhaeuser Industrial Research ChairFellow C.S.M.E., F.C.A.A., F.R.S.C.
Dr. Ian GartshoreFellow C.A.S.I
PULP AND PAPER COMPUTATIONAL FLUID DYNAMICS APPLICATIONS
Objectives:
• Predict and control fiber fractionation according to wood species
• Develop a model of flexible fiber motion that includes wall interaction
• Compute trajectories of fibers in complex flows
• Model fractionation during screening and in hydrocyclones
Benefits:
• Improve supply of uniform fibers and increase quality and consistency of pulp
FLUID-FIBER INTERACTION
Objectives:
• Determine the air flow and moisture distribution in wood kilns
• Optimize kiln operations and improve wood quality
Model:
• 3-D curvilinear non-orthogonal computational method with transient mass and heat transfer calculations to model the drying process
End-Users:
• Kiln operators and manufactures
WOOD KILNS
Objectives:
• Develop a 3-D steady-state computational model to predict the flow and heat transfer in the lime kiln
• Use the model to solve problems in kiln operation and design
Model:
• Block-structure body-fitted coordinates with domain segmentation, implementation of vortex stretching model, combustion, radiation, and 3-D modeling of the non-Newtonian nature of the lime mud
Benefits:
• Maintain maximum operating efficiency for lime kiln and reduce energy consumption
LIME KILNS
Objectives:
• Develop a comprehensive bark boiler gas flow and combustion model
• Optimize the thermal efficiency and emissions of boilers and identify promising and cost-effective design upgrades
Model:
• Momentum and conservation equations for mass, energy and gas species concentration using the turbulence k- model are solved simultaneously
• Chip combustion includes the evaporation of water, release of volatile gases and gas radiation heat transfer
End-Users:
• Bark boiler operators and manufacturers
BARK BOILERS
FUNDINGFUNDING
- - NSERC- FRBC- B.C. Science Council- Weyerhaeuser- CANFOR- PSL
12
10
8
6
4
2
0
-2
-4
W [m /s]
50m/s
U ndergrate A ir 70,000 kg/hr
Objectives:
• Develop modeling tools to improve existing designs and operating procedures, and to lower carry-over and environmental load
• Analyze performance of different air systems and liquor firing strategies
Model:
• 3-D orthogonal computational method with k- turbulent model, liquor combustion, particle tracking, and wall and gas radiation
• Flow equations coupled to the energy and species conservation equations
• Predicts gas flows, composition, temperature, and liquor-smelt-char particulate distribution
Benefits:
• Powerful modeling tool to optimize recovery boilers, reduce plugging rates, reduce time between water washes, analyze performance of different air systems, improve operating procedures, lower carry-over, and reduce environmental load
RECOVERY BOILERS
Zhengbing Bian Paul Nowak
Eric Bibeau Mohammad Shariati
Suqin Dong Emil Statie
Xioasi Feng David Stropky
Mike Georgallis Zhu Zhi Xiao
Pingfan He Jerry Yuan
Jason Zhang Kegang Zhang
5 10 15 200.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
R=0%
R=8%
R=15%
Tube Position
Ave
rage
Vel
ocity
(m/s
)
Objectives:
• Investigate experimentally flows in headboxes with a range of fiber concentration
• Develop computational-based methods to simulate the complex flows occurring in headboxes
Model:
• 3-D curvilinear non-orthogonal computational method with low Reynolds k- model and with non-isotropic, non-linear versions of the k- model
End-Users:
• Headbox manufactures and paper mills
HEADBOXES
ws0.00100.0002-0.0006-0.0014-0.0021-0.0029-0.0037-0.0045-0.0053-0.0061-0.0069-0.0076-0.0084-0.0092-0.0100
Axial ChipVelocity
Cold BlowNozzles(15 l/s)
WashDischarge(25 l/s)
Upper CookDischarge(85 l/s)
QuenchDischarge(4 l/s) Extraction
Screens(42 l/s)
LowerCookScreens(120 l/s)
UpperCookScreens(85 l/s)
Lower CookDischarge(120 l/s)
Blowline
Chips (26.5 l/s)Liquor (40 l/s)
w0.00200.00150.00100.00050.0000-0.0005-0.0010-0.0015-0.0020-0.0025-0.0030-0.0035-0.0040-0.0045-0.0050
AxialLiquorVelocity
Cold BlowNozzles(15 l/s)
WashDischarge(25 l/s)
Upper CookDischarge(85 l/s)
QuenchDischarge(4 l/s)
ExtractionScreens(42 l/s)
LowerCookScreens(120 l/s)
UpperCookScreens(85 l/s)
Lower CookDischarge(120 l/s)
Blowline
Chips (26.5 l/s)Liquor (40 l/s)
Objectives:
• Model the delignification process occurring within digesters
• Calculation of liquid and solid conservation equations for multi-dimensional flow
Model:
• Liquid-solid two-phase flow model coupled to the energy and conservation of species equations
Benefits:
• Better understanding of process to improve yield and fiber strength
Y
Z
X
5003002001501007550302010
NO *106
massfraction
BASE CASEUGA 1m/sOFA 30m/s
MODIFIED CASEUGA 0.8m/s20% of UGA moved to OFAOFA interlaced, 60m/s:30/s
Y
Z
X
5003002001501007550302010
NO *106
massfraction
---- drying
---- pyrolysis
---- char
---- smelt
Base Modified
x
z
-0.0025 0 0.0025
-0.004
-0.0035
-0.003
-0.0025
-0.002
-0.0015
-0.001
-0.0005
0
0.0005
0.001
Fiberpassesthroughtheslotaftercontactingslotwall
1
23
-4 -2 0 2 4
-4
-2
0
2
4
Flexible Fiber Rotation
Objectives:
• Improve predictions of swirling flows
• Develop mathematical models to predict the classification of fibers
Model:
• Discretization using block structured curvilinear grids
• Modified k- model for highly curved turbulent flows
• Particle tracking through explicit time marching based on force balance
End-Users:
• Pulp mills requiring high efficiencies for fiber cleaning and fractionation
HYDROCYCLONESDIGESTERS
Other Institutions
Government Industry
TECHNOLOGY TECHNOLOGY TRANSFER
License agreement
Serviceagreements
Consultingagreements
Customagreements
Licenseagreements
PSL
0
10
20
30
40
50
60
70
80
90
100
12
34
56
1020
3040
5060
70
89.677.765.753.841.829.917.96.0
diameter (microns)
length (mm)
carried over (%)
x (m)
r(m)
0 0.1 0.2 0.3 0.4 0.50
0.02
0.04
x (m)
r(m)
0 0.1 0.2 0.3 0.4 0.50
0.02
0.04
152430501423610013229150122222001121525010208300920135081944007187450618050051735504166600315965021527001145750
x (m)
r(m)
0 0.1 0.2 0.3 0.4 0.50
0.02
0.04
2.82.72.52.32.11.91.71.51.31.10.90.80.60.40.2