SlideShare a Scribd company logo
1 of 6
Download to read offline
Advances in Physics Theories and Applications www.iiste.org
ISSN 2224-719X (Paper) ISSN 2225-0638 (Online)
Vol.21, 2013
4
Estimation of Flow Accelerated Corrosion (FAC) in Feeder Pipes
using CFDd Software Fluent
Dheya Al-Othmany
Department of Nuclear Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia
Email of Corresponding Author: dothmany@kau.edu.sa
Abstract
Flow Accelerated Corrosion (FAC) is a corrosion mechanism induced by a combination of various physical,
chemical and hydrodynamic factors that results into wall thinning of piping. Prediction and modeling of this
phenomena is needed to account for local and non uniform distribution flow and mass transport characteristics
This can be done by using CFD software FLUENT. In a number of nuclear reactors a feeder wall thing rate of
0.1084 mm/EFPY has been reported. In this study emphasis is given on two objectives. The first one was to
perform CFD analysis using FLUENT. Feeder channel of a typical reactor was modeled as it showed the
maximum wall thinning rate of 1.1 mm per year. However in this analysis no consideration was given to the
chemical treatment of working fluid. The experimental studies of FAC were done at various temperatures in
order to determine the threshold temperature for FAC. However, due to experimental limitations no significant
FAC was found for water temperatures up to 90°C.
Keywords: Flow accelerated corrosion (FAC), CFD, erosion, pipe bends, FLUENT
INTRODUCTION TO FLOW ACCELERATED CORROSION (FAC)
Flow Accelerated Corrosion (FAC) causes metal loss of carbon steel piping, vessels exposed to flowing water or
wet steam and tubing etc which results into wall thinning of component. If neglected, then degraded components
can suddenly cause large disasters. Over the years, FAC has caused hundreds of piping and equipment failures in
all types of fossil, industrial steam, and nuclear power plants, however, often the cause of the failure was not
known by the plant owner. Additionally, the power industry did not fully understand the conditions under which
FAC occurred. Therefore it is needed that one should look to find it causes and find out the methods to control it.
FAC was identified as a distinct corrosion mechanism some twenty years ago when in 1986, an elbow in the
condensate system ruptured at the Surry Nuclear Power Station [1]. The failure caused four fatalities and tens of
millions of dollars in repair costs and lost revenue. FAC was found to be the cause of the failure. Because of the
deaths involved and the high degree of regulation applied to the nuclear power plants, a comprehensive overall
approach was needed. An intensive international cooperative effort was initiated to understand the parameters
which affect FAC. The strategy was that understanding FAC would allow the development of technology to help
plants find damage before failure occurs, and the measures to control it.
METHODOLOGY
The methodology of studying the FAC studies was based on following guidelines:
• Selection of KANUPP feeder for analysis
• Modeling and solution of selected feeder by using FLUENT
• Estimation of FAC in selected feeder
• Experimental setup design to study FAC at low temperature
In a typical nuclear reactor there are hundreds of are feeder pipe assemblies with similar number of inlet and
outlet feeder pipes. Each pipe connects to a reactor channel at one end and to an inlet or outlet header manifold
at the other. Over the years, wall thinning is observed in many feeders that were inspected. In order to estimate
FAC in the feeder pipes, outlet feeder is selected because maximum wall thinning is observed in such feeders.
Detail description and hydrodynamic data of a typical channel is given in Table 1. Here it should also be noted
that outlet feeder side is selected because at this side elevated temperature is present as compared to any other
position in feeder arrangement.
Advances in Physics Theories and Applications www.iiste.org
ISSN 2224-719X (Paper) ISSN 2225-0638 (Online)
Vol.21, 2013
5
Table 1: Parametric description of Feeder Pipe
Sr. No. Parameter Detail
1 Operating temperature at full power 567 o
F
2 Mass flow rate 27.41 lb/sec
3 Inlet Velocity of fluid 8.3 m/sec
4 Density of fluid 784.4 Kg/m3
5 Nominal thickness 5.54 mm
6 Thinning rate 0.1084 mm/EFPY
MODELING OF FEEDER BY USING CFD SOFTWARE FLUENT.
Solid geometry is developed by using drawing software Pro-Engineer. GAMBIT is used for meshing. Hex core
mesh is used in order to lower cell counts and improve the quality; this type is generally used for flow volumes
with complexity near the walls [2].
Meshed file that has generated was imported and solved in FLUENT, segregated solver, 3D space, implicit
formulation, cell based gradient option and absolute velocity formulation at steady state condition is set for
analysis. Selecting viscous K-ε model with appropriate boundary conditions that simulate the feeder was
modelled, developed and solved.
The velocity contours and velocity vectors are shown in Figure 1 and 2 respectively.
Figure 1: Contours of velocity magnitude (m/sec) zoomed at bent or a typical feeder
Figure 2: Contours of fluid velocity vector
Advances in Physics Theories and Applications www.iiste.org
ISSN 2224-719X (Paper) ISSN 2225-0638 (Online)
Vol.21, 2013
6
ESTIMATION OF FAC IN SELECTED FEEDER
By using Discrete Phase Model wall thinning rate can find by using FLUENT. The erosion rate is defined as [3].
( ) ( ) ( )
∑=
=
particlesN
P face
vb
pp
erosion
A
vfdCm
R
1
α (1)
Where C(dp) is a function of particle diameter, ƒ is the impact angle of the particle path with the wall face, f(α)
is a function of impact angle, v is the relative particle velocity, b(ν) is a function of relative particle velocity, and
Aface is the area of the cell face at the wall. Default values for FLUENT; C = 1.8 × 10-9
, ƒ = 1, and b = 0. The
erosion rate as calculated above is displayed in units of removed material per area per time, i.e., mass flux. The
functions C and f have to be specified in consistent units to build a dimensionless group with the relative particle
velocity and its exponent. To compute erosion rate in terms of length/time (mm/year, for example) either define
a custom field function to divide the erosion rate by the density of the wall material or include this division in the
units for C and/or f.
The equations describing some of the erosion models can be modified to appear in the form of the general
equation describing the erosion rate, Equation (1). For example, the Tulsa Angle Dependent Model described as
[3]
( )αfVFBER s
73.159.0
1559 −−
= (2)
Can be rewritten in the form of Equation (1) with the following substitutions:
( )vb
VV =73.1
(3)
( )ps dCFB =− 59.0
1559
(4)
Where ER is the erosion rate, B is the Brinell hardness, and Fs is particle shape coefficient.
In FLUENT 6.3, data base does not contain data regarding to feeder case thus need user defined functions file
formation. In our feeder case by using Equation (2) erosion rate can find at any point on bent. From Figure 2
maximum velocity vectors at bent having velocity magnitude of 7.64 m/s. Considering a Brinell number of 495
for 2.75mm diameter particles, erosion rate is estimated as 1.1 mm/year. A variety of particle size may be
present in the coolant loop due to pipe corrosion and erosion phenomena. The erosion rate can find out at any
point in feeder by taking velocity vector magnitude from velocity vector contours. Results that obtained in this
way do not representing the effect of chemical addition in working stream that is a common practice in plant to
prevent corrosion thus obtained results may show a large difference from values obtained from plant data.
EXPERIMENTAL SETUP DESIGN TO STUDY FAC AT LOW TEMPERATURE
In order to find out threshold temperature for FAC or low temperature FAC study, experimental setup is
designed at atmospheric pressure so that experiment can perform below 100°
C. Layout of experimental setup is
shown in Figure 3.
Figure 3: Experimental setup layout for determination of threshold temperature for FAC.
Advances in Physics Theories and Applications www.iiste.org
ISSN 2224-719X (Paper) ISSN 2225-0638 (Online)
Vol.21, 2013
7
Four coupons were placed in specimen holder for analysis. Working conditions after achieving steady state
operation are listed in Table 2. These working conditions remained almost constant during experiment and this
data is helpful in taking results of experiment. Steady state condition achieved after 30 minute of pump startup.
The change in water chemistry with respect to time is given in Table 3.
Table 2: Working conditions in experiment.
Sr. No. Parameter Condition
1 Coupon material M.S.
2 Coupon area 51.0 cm2
3 Temperature 90 °
C
4 Total running time 12 hrs
5 Working pressure 1 atm
6 Flow rate 0.2947 lit/sec
7 Fluid velocity 1.338 m/sec
Table 3: pH and Conductivity behaviors at different time during experimental run
Sr. No. Time
(hrs)
pH Conductivity
(µs)
1 0 9.32 28.8
2 2 9.29 44.6
3 4 9.26 51.9
4 6 9.26 55.2
5 8 9.25 59.9
6 10 9.24 63.2
7 12 9.24 67.8
This behavior is shown in Figure 4.
Figure 4: pH and Conductivity behavior at different time during experimental run.
RESULTS
CFD analysis of the feeders gave an insight into the flow behavior inside the bends. The followings may be
concluded from CFD analysis:
• FLUENT analysis of feeder gave the maximum wall thinning rate of 1.1 mm per year, while the reported
data suggest a maximum wall thinning rate of 0.1084 mm per EFPY.
• However, the wall thinning estimations in this study was in absence of chemical treatment of working fluid.
Also the difference is due to neglecting the welding points in feeder geometry development and ignoring the
chemical addition effect during model development.
Advances in Physics Theories and Applications www.iiste.org
ISSN 2224-719X (Paper) ISSN 2225-0638 (Online)
Vol.21, 2013
8
• Corrosion rate of 1.3941, 1.6317, 1.3326 and 1.1939 g per cm2 per year is observed in mild steel for coupon
no 1, 2, 3 and 4 respectively, at 90°C while the pH range is 9-10 and flow rate of 0.2947 lit per sec.
• Maximum corrosion rate observed is 1.6317 g per cm2 per year and is in coupon no 2 from top from flow
entrance point).
• No evidence of FAC observed on coupons surface and no remarkable wall thinning was measured. However
studies suggest that there is no need to do FAC studies below 90°C.
• High corrosion rate in coupon is due to the reason that at higher temperature hydrazine decomposes and thus
it does not scavenge oxygen properly from system.
REFERENCES
[1] R.B. Dooley and V.K. Chexal, “Corrosion 99: Flow accelerated corrosion,” Proc. EPRI, paper. 347.
[2] Fluent Inc, “GAMBIT 2.3 Introductory GAMBIT Training,” June, 2006
[3] Fluent Inc, “FLUENT 6.3 Users guide,” September, 2006.
This academic article was published by The International Institute for Science,
Technology and Education (IISTE). The IISTE is a pioneer in the Open Access
Publishing service based in the U.S. and Europe. The aim of the institute is
Accelerating Global Knowledge Sharing.
More information about the publisher can be found in the IISTE’s homepage:
http://www.iiste.org
CALL FOR PAPERS
The IISTE is currently hosting more than 30 peer-reviewed academic journals and
collaborating with academic institutions around the world. There’s no deadline for
submission. Prospective authors of IISTE journals can find the submission
instruction on the following page: http://www.iiste.org/Journals/
The IISTE editorial team promises to the review and publish all the qualified
submissions in a fast manner. All the journals articles are available online to the
readers all over the world without financial, legal, or technical barriers other than
those inseparable from gaining access to the internet itself. Printed version of the
journals is also available upon request of readers and authors.
IISTE Knowledge Sharing Partners
EBSCO, Index Copernicus, Ulrich's Periodicals Directory, JournalTOCS, PKP Open
Archives Harvester, Bielefeld Academic Search Engine, Elektronische
Zeitschriftenbibliothek EZB, Open J-Gate, OCLC WorldCat, Universe Digtial
Library , NewJour, Google Scholar

More Related Content

What's hot

Transient analysis and fatigue life prediction of tubesheet
Transient analysis and fatigue life prediction of tubesheetTransient analysis and fatigue life prediction of tubesheet
Transient analysis and fatigue life prediction of tubesheeteSAT Publishing House
 
Simulation and Modelling of Pipeline Corrosion and Integrity Management in Oi...
Simulation and Modelling of Pipeline Corrosion and Integrity Management in Oi...Simulation and Modelling of Pipeline Corrosion and Integrity Management in Oi...
Simulation and Modelling of Pipeline Corrosion and Integrity Management in Oi...ijtsrd
 
Design of an Aerodynamic Lens for PM2.5 Chemical Composition Analysis
Design of an Aerodynamic Lens for PM2.5 Chemical Composition AnalysisDesign of an Aerodynamic Lens for PM2.5 Chemical Composition Analysis
Design of an Aerodynamic Lens for PM2.5 Chemical Composition AnalysisFa-Gung Fan
 
Pratik Rao - Thesis Presentation FINAL
Pratik Rao - Thesis Presentation FINALPratik Rao - Thesis Presentation FINAL
Pratik Rao - Thesis Presentation FINALPratik Rao
 
IRJET- Design and Fabrication of a Micro-Respirometer to Measure the Short-Te...
IRJET- Design and Fabrication of a Micro-Respirometer to Measure the Short-Te...IRJET- Design and Fabrication of a Micro-Respirometer to Measure the Short-Te...
IRJET- Design and Fabrication of a Micro-Respirometer to Measure the Short-Te...IRJET Journal
 
IJSRED-V2I3P89
IJSRED-V2I3P89IJSRED-V2I3P89
IJSRED-V2I3P89IJSRED
 
Gas Separation Using a Membrane
Gas Separation Using a MembraneGas Separation Using a Membrane
Gas Separation Using a MembraneTianna Drew
 
18 thermal hydrologic-chemical modeling for field tests stauffer la-ur-17-24114
18 thermal hydrologic-chemical modeling for field tests stauffer la-ur-17-2411418 thermal hydrologic-chemical modeling for field tests stauffer la-ur-17-24114
18 thermal hydrologic-chemical modeling for field tests stauffer la-ur-17-24114leann_mays
 
Importance of Specific Gravity
Importance of Specific GravityImportance of Specific Gravity
Importance of Specific GravityBenjamin Farrell
 
Numerical modelling of two types of MBR
Numerical modelling of two types of MBRNumerical modelling of two types of MBR
Numerical modelling of two types of MBRNicolas Ratkovich
 
Vu Anh Minh QCM - nano tech -1 s2 0-s0169433212019861-main(3)
Vu Anh Minh QCM - nano tech -1 s2 0-s0169433212019861-main(3)Vu Anh Minh QCM - nano tech -1 s2 0-s0169433212019861-main(3)
Vu Anh Minh QCM - nano tech -1 s2 0-s0169433212019861-main(3)Minh Vu
 

What's hot (18)

Transient analysis and fatigue life prediction of tubesheet
Transient analysis and fatigue life prediction of tubesheetTransient analysis and fatigue life prediction of tubesheet
Transient analysis and fatigue life prediction of tubesheet
 
Simulation and Modelling of Pipeline Corrosion and Integrity Management in Oi...
Simulation and Modelling of Pipeline Corrosion and Integrity Management in Oi...Simulation and Modelling of Pipeline Corrosion and Integrity Management in Oi...
Simulation and Modelling of Pipeline Corrosion and Integrity Management in Oi...
 
Design of an Aerodynamic Lens for PM2.5 Chemical Composition Analysis
Design of an Aerodynamic Lens for PM2.5 Chemical Composition AnalysisDesign of an Aerodynamic Lens for PM2.5 Chemical Composition Analysis
Design of an Aerodynamic Lens for PM2.5 Chemical Composition Analysis
 
D1883.13825
D1883.13825D1883.13825
D1883.13825
 
16 Reconsolidation of granular salt (DAEF report)
16 Reconsolidation of granular salt (DAEF report)16 Reconsolidation of granular salt (DAEF report)
16 Reconsolidation of granular salt (DAEF report)
 
Pratik Rao - Thesis Presentation FINAL
Pratik Rao - Thesis Presentation FINALPratik Rao - Thesis Presentation FINAL
Pratik Rao - Thesis Presentation FINAL
 
IRJET- Design and Fabrication of a Micro-Respirometer to Measure the Short-Te...
IRJET- Design and Fabrication of a Micro-Respirometer to Measure the Short-Te...IRJET- Design and Fabrication of a Micro-Respirometer to Measure the Short-Te...
IRJET- Design and Fabrication of a Micro-Respirometer to Measure the Short-Te...
 
17 Salt Reconsolidation
17 Salt Reconsolidation17 Salt Reconsolidation
17 Salt Reconsolidation
 
C p test
C p testC p test
C p test
 
IJSRED-V2I3P89
IJSRED-V2I3P89IJSRED-V2I3P89
IJSRED-V2I3P89
 
Gas Separation Using a Membrane
Gas Separation Using a MembraneGas Separation Using a Membrane
Gas Separation Using a Membrane
 
18 thermal hydrologic-chemical modeling for field tests stauffer la-ur-17-24114
18 thermal hydrologic-chemical modeling for field tests stauffer la-ur-17-2411418 thermal hydrologic-chemical modeling for field tests stauffer la-ur-17-24114
18 thermal hydrologic-chemical modeling for field tests stauffer la-ur-17-24114
 
Importance of Specific Gravity
Importance of Specific GravityImportance of Specific Gravity
Importance of Specific Gravity
 
Numerical modelling of two types of MBR
Numerical modelling of two types of MBRNumerical modelling of two types of MBR
Numerical modelling of two types of MBR
 
Vu Anh Minh QCM - nano tech -1 s2 0-s0169433212019861-main(3)
Vu Anh Minh QCM - nano tech -1 s2 0-s0169433212019861-main(3)Vu Anh Minh QCM - nano tech -1 s2 0-s0169433212019861-main(3)
Vu Anh Minh QCM - nano tech -1 s2 0-s0169433212019861-main(3)
 
Five minute loi test
Five minute loi testFive minute loi test
Five minute loi test
 
Sensors 16-01077
Sensors 16-01077Sensors 16-01077
Sensors 16-01077
 
EAGE 2013
EAGE 2013EAGE 2013
EAGE 2013
 

Similar to Estimating FAC in Feeder Pipes Using CFD

Impact of Crack Length into Pipe Conveying Fluid Utilizing Fast Fourier trans...
Impact of Crack Length into Pipe Conveying Fluid Utilizing Fast Fourier trans...Impact of Crack Length into Pipe Conveying Fluid Utilizing Fast Fourier trans...
Impact of Crack Length into Pipe Conveying Fluid Utilizing Fast Fourier trans...IJECEIAES
 
5460be7c0cf27487b4525bb0
5460be7c0cf27487b4525bb05460be7c0cf27487b4525bb0
5460be7c0cf27487b4525bb0emreyz
 
Hydrodynamic Behaviour of the Torbed® Reactor Operating in Fine Particle Mode.
Hydrodynamic Behaviour of the Torbed® Reactor Operating in Fine Particle Mode.Hydrodynamic Behaviour of the Torbed® Reactor Operating in Fine Particle Mode.
Hydrodynamic Behaviour of the Torbed® Reactor Operating in Fine Particle Mode.Grant Wellwood
 
Evaluation of Modelling of Flow in Fractures
Evaluation of Modelling of Flow in FracturesEvaluation of Modelling of Flow in Fractures
Evaluation of Modelling of Flow in Fracturesidescitation
 
Determination of shock losses and pressure losses in ug mine openings (1)
Determination of shock losses and pressure losses in ug mine openings (1)Determination of shock losses and pressure losses in ug mine openings (1)
Determination of shock losses and pressure losses in ug mine openings (1)Safdar Ali
 
Determination of shock losses and pressure losses in ug mine openings
Determination of shock losses and pressure losses in ug mine openingsDetermination of shock losses and pressure losses in ug mine openings
Determination of shock losses and pressure losses in ug mine openingsSafdar Ali
 
Effect of Arresters on Erosion in Economizer Zone and its Analysis
Effect of Arresters on Erosion in Economizer Zone and its AnalysisEffect of Arresters on Erosion in Economizer Zone and its Analysis
Effect of Arresters on Erosion in Economizer Zone and its AnalysisIDES Editor
 
Taguchi Method of Optimization Performed on 49 cm2 Active Area on Interdigita...
Taguchi Method of Optimization Performed on 49 cm2 Active Area on Interdigita...Taguchi Method of Optimization Performed on 49 cm2 Active Area on Interdigita...
Taguchi Method of Optimization Performed on 49 cm2 Active Area on Interdigita...IRJET Journal
 
Comparison of MOC and Lax FDE for simulating transients in Pipe Flows
Comparison of  MOC and Lax FDE for simulating transients in Pipe FlowsComparison of  MOC and Lax FDE for simulating transients in Pipe Flows
Comparison of MOC and Lax FDE for simulating transients in Pipe FlowsIRJET Journal
 
Investigation of Supercavitation Physics
Investigation of Supercavitation PhysicsInvestigation of Supercavitation Physics
Investigation of Supercavitation PhysicsSiyao Shao
 
Experimental and Computational Fluid Dynamics (CFD) Analysis of Additively Ma...
Experimental and Computational Fluid Dynamics (CFD) Analysis of Additively Ma...Experimental and Computational Fluid Dynamics (CFD) Analysis of Additively Ma...
Experimental and Computational Fluid Dynamics (CFD) Analysis of Additively Ma...IRJET Journal
 
Final_41817_In situ and real time x-ray computed tomography _2015VJ
Final_41817_In situ and real time x-ray computed tomography _2015VJFinal_41817_In situ and real time x-ray computed tomography _2015VJ
Final_41817_In situ and real time x-ray computed tomography _2015VJMehul Pancholi
 
FLOW DISTRIBUTION NETWORK ANALYSIS FOR DISCHARGE SIDE OF CENTRIFUGAL PUMP
FLOW DISTRIBUTION NETWORK ANALYSIS FOR DISCHARGE SIDE OF CENTRIFUGAL PUMPFLOW DISTRIBUTION NETWORK ANALYSIS FOR DISCHARGE SIDE OF CENTRIFUGAL PUMP
FLOW DISTRIBUTION NETWORK ANALYSIS FOR DISCHARGE SIDE OF CENTRIFUGAL PUMPijiert bestjournal
 
Das b. m._,soil_mechanics_laboratory_manual,_6th_ed,_2002
Das b. m._,soil_mechanics_laboratory_manual,_6th_ed,_2002Das b. m._,soil_mechanics_laboratory_manual,_6th_ed,_2002
Das b. m._,soil_mechanics_laboratory_manual,_6th_ed,_2002Lawrence Omai
 
Numerical analysis for two phase flow distribution headers in heat exchangers
Numerical analysis for two phase flow distribution headers in heat exchangersNumerical analysis for two phase flow distribution headers in heat exchangers
Numerical analysis for two phase flow distribution headers in heat exchangerseSAT Journals
 
Open channel flow velocity profiles for different
Open channel flow velocity profiles for differentOpen channel flow velocity profiles for different
Open channel flow velocity profiles for differenteSAT Publishing House
 
Studies on impact of inlet viscosity ratio, decay rate & length scales in a c...
Studies on impact of inlet viscosity ratio, decay rate & length scales in a c...Studies on impact of inlet viscosity ratio, decay rate & length scales in a c...
Studies on impact of inlet viscosity ratio, decay rate & length scales in a c...QuEST Global
 
Open channel flow velocity profiles for different reynolds numbers and roughn...
Open channel flow velocity profiles for different reynolds numbers and roughn...Open channel flow velocity profiles for different reynolds numbers and roughn...
Open channel flow velocity profiles for different reynolds numbers and roughn...eSAT Journals
 

Similar to Estimating FAC in Feeder Pipes Using CFD (20)

Simulation of the Design of an Exhaust Silencer Stack by CFD
Simulation of the Design of an Exhaust Silencer Stack by CFDSimulation of the Design of an Exhaust Silencer Stack by CFD
Simulation of the Design of an Exhaust Silencer Stack by CFD
 
Impact of Crack Length into Pipe Conveying Fluid Utilizing Fast Fourier trans...
Impact of Crack Length into Pipe Conveying Fluid Utilizing Fast Fourier trans...Impact of Crack Length into Pipe Conveying Fluid Utilizing Fast Fourier trans...
Impact of Crack Length into Pipe Conveying Fluid Utilizing Fast Fourier trans...
 
5460be7c0cf27487b4525bb0
5460be7c0cf27487b4525bb05460be7c0cf27487b4525bb0
5460be7c0cf27487b4525bb0
 
Hydrodynamic Behaviour of the Torbed® Reactor Operating in Fine Particle Mode.
Hydrodynamic Behaviour of the Torbed® Reactor Operating in Fine Particle Mode.Hydrodynamic Behaviour of the Torbed® Reactor Operating in Fine Particle Mode.
Hydrodynamic Behaviour of the Torbed® Reactor Operating in Fine Particle Mode.
 
Evaluation of Modelling of Flow in Fractures
Evaluation of Modelling of Flow in FracturesEvaluation of Modelling of Flow in Fractures
Evaluation of Modelling of Flow in Fractures
 
Determination of shock losses and pressure losses in ug mine openings (1)
Determination of shock losses and pressure losses in ug mine openings (1)Determination of shock losses and pressure losses in ug mine openings (1)
Determination of shock losses and pressure losses in ug mine openings (1)
 
Determination of shock losses and pressure losses in ug mine openings
Determination of shock losses and pressure losses in ug mine openingsDetermination of shock losses and pressure losses in ug mine openings
Determination of shock losses and pressure losses in ug mine openings
 
Effect of Arresters on Erosion in Economizer Zone and its Analysis
Effect of Arresters on Erosion in Economizer Zone and its AnalysisEffect of Arresters on Erosion in Economizer Zone and its Analysis
Effect of Arresters on Erosion in Economizer Zone and its Analysis
 
Taguchi Method of Optimization Performed on 49 cm2 Active Area on Interdigita...
Taguchi Method of Optimization Performed on 49 cm2 Active Area on Interdigita...Taguchi Method of Optimization Performed on 49 cm2 Active Area on Interdigita...
Taguchi Method of Optimization Performed on 49 cm2 Active Area on Interdigita...
 
Comparison of MOC and Lax FDE for simulating transients in Pipe Flows
Comparison of  MOC and Lax FDE for simulating transients in Pipe FlowsComparison of  MOC and Lax FDE for simulating transients in Pipe Flows
Comparison of MOC and Lax FDE for simulating transients in Pipe Flows
 
Investigation of Supercavitation Physics
Investigation of Supercavitation PhysicsInvestigation of Supercavitation Physics
Investigation of Supercavitation Physics
 
Experimental and Computational Fluid Dynamics (CFD) Analysis of Additively Ma...
Experimental and Computational Fluid Dynamics (CFD) Analysis of Additively Ma...Experimental and Computational Fluid Dynamics (CFD) Analysis of Additively Ma...
Experimental and Computational Fluid Dynamics (CFD) Analysis of Additively Ma...
 
Final_41817_In situ and real time x-ray computed tomography _2015VJ
Final_41817_In situ and real time x-ray computed tomography _2015VJFinal_41817_In situ and real time x-ray computed tomography _2015VJ
Final_41817_In situ and real time x-ray computed tomography _2015VJ
 
FLOW DISTRIBUTION NETWORK ANALYSIS FOR DISCHARGE SIDE OF CENTRIFUGAL PUMP
FLOW DISTRIBUTION NETWORK ANALYSIS FOR DISCHARGE SIDE OF CENTRIFUGAL PUMPFLOW DISTRIBUTION NETWORK ANALYSIS FOR DISCHARGE SIDE OF CENTRIFUGAL PUMP
FLOW DISTRIBUTION NETWORK ANALYSIS FOR DISCHARGE SIDE OF CENTRIFUGAL PUMP
 
Das b. m._,soil_mechanics_laboratory_manual,_6th_ed,_2002
Das b. m._,soil_mechanics_laboratory_manual,_6th_ed,_2002Das b. m._,soil_mechanics_laboratory_manual,_6th_ed,_2002
Das b. m._,soil_mechanics_laboratory_manual,_6th_ed,_2002
 
Numerical analysis for two phase flow distribution headers in heat exchangers
Numerical analysis for two phase flow distribution headers in heat exchangersNumerical analysis for two phase flow distribution headers in heat exchangers
Numerical analysis for two phase flow distribution headers in heat exchangers
 
dighe (3)
dighe (3)dighe (3)
dighe (3)
 
Open channel flow velocity profiles for different
Open channel flow velocity profiles for differentOpen channel flow velocity profiles for different
Open channel flow velocity profiles for different
 
Studies on impact of inlet viscosity ratio, decay rate & length scales in a c...
Studies on impact of inlet viscosity ratio, decay rate & length scales in a c...Studies on impact of inlet viscosity ratio, decay rate & length scales in a c...
Studies on impact of inlet viscosity ratio, decay rate & length scales in a c...
 
Open channel flow velocity profiles for different reynolds numbers and roughn...
Open channel flow velocity profiles for different reynolds numbers and roughn...Open channel flow velocity profiles for different reynolds numbers and roughn...
Open channel flow velocity profiles for different reynolds numbers and roughn...
 

More from Alexander Decker

Abnormalities of hormones and inflammatory cytokines in women affected with p...
Abnormalities of hormones and inflammatory cytokines in women affected with p...Abnormalities of hormones and inflammatory cytokines in women affected with p...
Abnormalities of hormones and inflammatory cytokines in women affected with p...Alexander Decker
 
A validation of the adverse childhood experiences scale in
A validation of the adverse childhood experiences scale inA validation of the adverse childhood experiences scale in
A validation of the adverse childhood experiences scale inAlexander Decker
 
A usability evaluation framework for b2 c e commerce websites
A usability evaluation framework for b2 c e commerce websitesA usability evaluation framework for b2 c e commerce websites
A usability evaluation framework for b2 c e commerce websitesAlexander Decker
 
A universal model for managing the marketing executives in nigerian banks
A universal model for managing the marketing executives in nigerian banksA universal model for managing the marketing executives in nigerian banks
A universal model for managing the marketing executives in nigerian banksAlexander Decker
 
A unique common fixed point theorems in generalized d
A unique common fixed point theorems in generalized dA unique common fixed point theorems in generalized d
A unique common fixed point theorems in generalized dAlexander Decker
 
A trends of salmonella and antibiotic resistance
A trends of salmonella and antibiotic resistanceA trends of salmonella and antibiotic resistance
A trends of salmonella and antibiotic resistanceAlexander Decker
 
A transformational generative approach towards understanding al-istifham
A transformational  generative approach towards understanding al-istifhamA transformational  generative approach towards understanding al-istifham
A transformational generative approach towards understanding al-istifhamAlexander Decker
 
A time series analysis of the determinants of savings in namibia
A time series analysis of the determinants of savings in namibiaA time series analysis of the determinants of savings in namibia
A time series analysis of the determinants of savings in namibiaAlexander Decker
 
A therapy for physical and mental fitness of school children
A therapy for physical and mental fitness of school childrenA therapy for physical and mental fitness of school children
A therapy for physical and mental fitness of school childrenAlexander Decker
 
A theory of efficiency for managing the marketing executives in nigerian banks
A theory of efficiency for managing the marketing executives in nigerian banksA theory of efficiency for managing the marketing executives in nigerian banks
A theory of efficiency for managing the marketing executives in nigerian banksAlexander Decker
 
A systematic evaluation of link budget for
A systematic evaluation of link budget forA systematic evaluation of link budget for
A systematic evaluation of link budget forAlexander Decker
 
A synthetic review of contraceptive supplies in punjab
A synthetic review of contraceptive supplies in punjabA synthetic review of contraceptive supplies in punjab
A synthetic review of contraceptive supplies in punjabAlexander Decker
 
A synthesis of taylor’s and fayol’s management approaches for managing market...
A synthesis of taylor’s and fayol’s management approaches for managing market...A synthesis of taylor’s and fayol’s management approaches for managing market...
A synthesis of taylor’s and fayol’s management approaches for managing market...Alexander Decker
 
A survey paper on sequence pattern mining with incremental
A survey paper on sequence pattern mining with incrementalA survey paper on sequence pattern mining with incremental
A survey paper on sequence pattern mining with incrementalAlexander Decker
 
A survey on live virtual machine migrations and its techniques
A survey on live virtual machine migrations and its techniquesA survey on live virtual machine migrations and its techniques
A survey on live virtual machine migrations and its techniquesAlexander Decker
 
A survey on data mining and analysis in hadoop and mongo db
A survey on data mining and analysis in hadoop and mongo dbA survey on data mining and analysis in hadoop and mongo db
A survey on data mining and analysis in hadoop and mongo dbAlexander Decker
 
A survey on challenges to the media cloud
A survey on challenges to the media cloudA survey on challenges to the media cloud
A survey on challenges to the media cloudAlexander Decker
 
A survey of provenance leveraged
A survey of provenance leveragedA survey of provenance leveraged
A survey of provenance leveragedAlexander Decker
 
A survey of private equity investments in kenya
A survey of private equity investments in kenyaA survey of private equity investments in kenya
A survey of private equity investments in kenyaAlexander Decker
 
A study to measures the financial health of
A study to measures the financial health ofA study to measures the financial health of
A study to measures the financial health ofAlexander Decker
 

More from Alexander Decker (20)

Abnormalities of hormones and inflammatory cytokines in women affected with p...
Abnormalities of hormones and inflammatory cytokines in women affected with p...Abnormalities of hormones and inflammatory cytokines in women affected with p...
Abnormalities of hormones and inflammatory cytokines in women affected with p...
 
A validation of the adverse childhood experiences scale in
A validation of the adverse childhood experiences scale inA validation of the adverse childhood experiences scale in
A validation of the adverse childhood experiences scale in
 
A usability evaluation framework for b2 c e commerce websites
A usability evaluation framework for b2 c e commerce websitesA usability evaluation framework for b2 c e commerce websites
A usability evaluation framework for b2 c e commerce websites
 
A universal model for managing the marketing executives in nigerian banks
A universal model for managing the marketing executives in nigerian banksA universal model for managing the marketing executives in nigerian banks
A universal model for managing the marketing executives in nigerian banks
 
A unique common fixed point theorems in generalized d
A unique common fixed point theorems in generalized dA unique common fixed point theorems in generalized d
A unique common fixed point theorems in generalized d
 
A trends of salmonella and antibiotic resistance
A trends of salmonella and antibiotic resistanceA trends of salmonella and antibiotic resistance
A trends of salmonella and antibiotic resistance
 
A transformational generative approach towards understanding al-istifham
A transformational  generative approach towards understanding al-istifhamA transformational  generative approach towards understanding al-istifham
A transformational generative approach towards understanding al-istifham
 
A time series analysis of the determinants of savings in namibia
A time series analysis of the determinants of savings in namibiaA time series analysis of the determinants of savings in namibia
A time series analysis of the determinants of savings in namibia
 
A therapy for physical and mental fitness of school children
A therapy for physical and mental fitness of school childrenA therapy for physical and mental fitness of school children
A therapy for physical and mental fitness of school children
 
A theory of efficiency for managing the marketing executives in nigerian banks
A theory of efficiency for managing the marketing executives in nigerian banksA theory of efficiency for managing the marketing executives in nigerian banks
A theory of efficiency for managing the marketing executives in nigerian banks
 
A systematic evaluation of link budget for
A systematic evaluation of link budget forA systematic evaluation of link budget for
A systematic evaluation of link budget for
 
A synthetic review of contraceptive supplies in punjab
A synthetic review of contraceptive supplies in punjabA synthetic review of contraceptive supplies in punjab
A synthetic review of contraceptive supplies in punjab
 
A synthesis of taylor’s and fayol’s management approaches for managing market...
A synthesis of taylor’s and fayol’s management approaches for managing market...A synthesis of taylor’s and fayol’s management approaches for managing market...
A synthesis of taylor’s and fayol’s management approaches for managing market...
 
A survey paper on sequence pattern mining with incremental
A survey paper on sequence pattern mining with incrementalA survey paper on sequence pattern mining with incremental
A survey paper on sequence pattern mining with incremental
 
A survey on live virtual machine migrations and its techniques
A survey on live virtual machine migrations and its techniquesA survey on live virtual machine migrations and its techniques
A survey on live virtual machine migrations and its techniques
 
A survey on data mining and analysis in hadoop and mongo db
A survey on data mining and analysis in hadoop and mongo dbA survey on data mining and analysis in hadoop and mongo db
A survey on data mining and analysis in hadoop and mongo db
 
A survey on challenges to the media cloud
A survey on challenges to the media cloudA survey on challenges to the media cloud
A survey on challenges to the media cloud
 
A survey of provenance leveraged
A survey of provenance leveragedA survey of provenance leveraged
A survey of provenance leveraged
 
A survey of private equity investments in kenya
A survey of private equity investments in kenyaA survey of private equity investments in kenya
A survey of private equity investments in kenya
 
A study to measures the financial health of
A study to measures the financial health ofA study to measures the financial health of
A study to measures the financial health of
 

Recently uploaded

Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024Scott Keck-Warren
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
costume and set research powerpoint presentation
costume and set research powerpoint presentationcostume and set research powerpoint presentation
costume and set research powerpoint presentationphoebematthew05
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024BookNet Canada
 
Unlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power SystemsUnlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power SystemsPrecisely
 
Science&tech:THE INFORMATION AGE STS.pdf
Science&tech:THE INFORMATION AGE STS.pdfScience&tech:THE INFORMATION AGE STS.pdf
Science&tech:THE INFORMATION AGE STS.pdfjimielynbastida
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksSoftradix Technologies
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphNeo4j
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024The Digital Insurer
 

Recently uploaded (20)

Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
costume and set research powerpoint presentation
costume and set research powerpoint presentationcostume and set research powerpoint presentation
costume and set research powerpoint presentation
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
 
Unlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power SystemsUnlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power Systems
 
Science&tech:THE INFORMATION AGE STS.pdf
Science&tech:THE INFORMATION AGE STS.pdfScience&tech:THE INFORMATION AGE STS.pdf
Science&tech:THE INFORMATION AGE STS.pdf
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other Frameworks
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024
 

Estimating FAC in Feeder Pipes Using CFD

  • 1. Advances in Physics Theories and Applications www.iiste.org ISSN 2224-719X (Paper) ISSN 2225-0638 (Online) Vol.21, 2013 4 Estimation of Flow Accelerated Corrosion (FAC) in Feeder Pipes using CFDd Software Fluent Dheya Al-Othmany Department of Nuclear Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia Email of Corresponding Author: dothmany@kau.edu.sa Abstract Flow Accelerated Corrosion (FAC) is a corrosion mechanism induced by a combination of various physical, chemical and hydrodynamic factors that results into wall thinning of piping. Prediction and modeling of this phenomena is needed to account for local and non uniform distribution flow and mass transport characteristics This can be done by using CFD software FLUENT. In a number of nuclear reactors a feeder wall thing rate of 0.1084 mm/EFPY has been reported. In this study emphasis is given on two objectives. The first one was to perform CFD analysis using FLUENT. Feeder channel of a typical reactor was modeled as it showed the maximum wall thinning rate of 1.1 mm per year. However in this analysis no consideration was given to the chemical treatment of working fluid. The experimental studies of FAC were done at various temperatures in order to determine the threshold temperature for FAC. However, due to experimental limitations no significant FAC was found for water temperatures up to 90°C. Keywords: Flow accelerated corrosion (FAC), CFD, erosion, pipe bends, FLUENT INTRODUCTION TO FLOW ACCELERATED CORROSION (FAC) Flow Accelerated Corrosion (FAC) causes metal loss of carbon steel piping, vessels exposed to flowing water or wet steam and tubing etc which results into wall thinning of component. If neglected, then degraded components can suddenly cause large disasters. Over the years, FAC has caused hundreds of piping and equipment failures in all types of fossil, industrial steam, and nuclear power plants, however, often the cause of the failure was not known by the plant owner. Additionally, the power industry did not fully understand the conditions under which FAC occurred. Therefore it is needed that one should look to find it causes and find out the methods to control it. FAC was identified as a distinct corrosion mechanism some twenty years ago when in 1986, an elbow in the condensate system ruptured at the Surry Nuclear Power Station [1]. The failure caused four fatalities and tens of millions of dollars in repair costs and lost revenue. FAC was found to be the cause of the failure. Because of the deaths involved and the high degree of regulation applied to the nuclear power plants, a comprehensive overall approach was needed. An intensive international cooperative effort was initiated to understand the parameters which affect FAC. The strategy was that understanding FAC would allow the development of technology to help plants find damage before failure occurs, and the measures to control it. METHODOLOGY The methodology of studying the FAC studies was based on following guidelines: • Selection of KANUPP feeder for analysis • Modeling and solution of selected feeder by using FLUENT • Estimation of FAC in selected feeder • Experimental setup design to study FAC at low temperature In a typical nuclear reactor there are hundreds of are feeder pipe assemblies with similar number of inlet and outlet feeder pipes. Each pipe connects to a reactor channel at one end and to an inlet or outlet header manifold at the other. Over the years, wall thinning is observed in many feeders that were inspected. In order to estimate FAC in the feeder pipes, outlet feeder is selected because maximum wall thinning is observed in such feeders. Detail description and hydrodynamic data of a typical channel is given in Table 1. Here it should also be noted that outlet feeder side is selected because at this side elevated temperature is present as compared to any other position in feeder arrangement.
  • 2. Advances in Physics Theories and Applications www.iiste.org ISSN 2224-719X (Paper) ISSN 2225-0638 (Online) Vol.21, 2013 5 Table 1: Parametric description of Feeder Pipe Sr. No. Parameter Detail 1 Operating temperature at full power 567 o F 2 Mass flow rate 27.41 lb/sec 3 Inlet Velocity of fluid 8.3 m/sec 4 Density of fluid 784.4 Kg/m3 5 Nominal thickness 5.54 mm 6 Thinning rate 0.1084 mm/EFPY MODELING OF FEEDER BY USING CFD SOFTWARE FLUENT. Solid geometry is developed by using drawing software Pro-Engineer. GAMBIT is used for meshing. Hex core mesh is used in order to lower cell counts and improve the quality; this type is generally used for flow volumes with complexity near the walls [2]. Meshed file that has generated was imported and solved in FLUENT, segregated solver, 3D space, implicit formulation, cell based gradient option and absolute velocity formulation at steady state condition is set for analysis. Selecting viscous K-ε model with appropriate boundary conditions that simulate the feeder was modelled, developed and solved. The velocity contours and velocity vectors are shown in Figure 1 and 2 respectively. Figure 1: Contours of velocity magnitude (m/sec) zoomed at bent or a typical feeder Figure 2: Contours of fluid velocity vector
  • 3. Advances in Physics Theories and Applications www.iiste.org ISSN 2224-719X (Paper) ISSN 2225-0638 (Online) Vol.21, 2013 6 ESTIMATION OF FAC IN SELECTED FEEDER By using Discrete Phase Model wall thinning rate can find by using FLUENT. The erosion rate is defined as [3]. ( ) ( ) ( ) ∑= = particlesN P face vb pp erosion A vfdCm R 1 α (1) Where C(dp) is a function of particle diameter, ƒ is the impact angle of the particle path with the wall face, f(α) is a function of impact angle, v is the relative particle velocity, b(ν) is a function of relative particle velocity, and Aface is the area of the cell face at the wall. Default values for FLUENT; C = 1.8 × 10-9 , ƒ = 1, and b = 0. The erosion rate as calculated above is displayed in units of removed material per area per time, i.e., mass flux. The functions C and f have to be specified in consistent units to build a dimensionless group with the relative particle velocity and its exponent. To compute erosion rate in terms of length/time (mm/year, for example) either define a custom field function to divide the erosion rate by the density of the wall material or include this division in the units for C and/or f. The equations describing some of the erosion models can be modified to appear in the form of the general equation describing the erosion rate, Equation (1). For example, the Tulsa Angle Dependent Model described as [3] ( )αfVFBER s 73.159.0 1559 −− = (2) Can be rewritten in the form of Equation (1) with the following substitutions: ( )vb VV =73.1 (3) ( )ps dCFB =− 59.0 1559 (4) Where ER is the erosion rate, B is the Brinell hardness, and Fs is particle shape coefficient. In FLUENT 6.3, data base does not contain data regarding to feeder case thus need user defined functions file formation. In our feeder case by using Equation (2) erosion rate can find at any point on bent. From Figure 2 maximum velocity vectors at bent having velocity magnitude of 7.64 m/s. Considering a Brinell number of 495 for 2.75mm diameter particles, erosion rate is estimated as 1.1 mm/year. A variety of particle size may be present in the coolant loop due to pipe corrosion and erosion phenomena. The erosion rate can find out at any point in feeder by taking velocity vector magnitude from velocity vector contours. Results that obtained in this way do not representing the effect of chemical addition in working stream that is a common practice in plant to prevent corrosion thus obtained results may show a large difference from values obtained from plant data. EXPERIMENTAL SETUP DESIGN TO STUDY FAC AT LOW TEMPERATURE In order to find out threshold temperature for FAC or low temperature FAC study, experimental setup is designed at atmospheric pressure so that experiment can perform below 100° C. Layout of experimental setup is shown in Figure 3. Figure 3: Experimental setup layout for determination of threshold temperature for FAC.
  • 4. Advances in Physics Theories and Applications www.iiste.org ISSN 2224-719X (Paper) ISSN 2225-0638 (Online) Vol.21, 2013 7 Four coupons were placed in specimen holder for analysis. Working conditions after achieving steady state operation are listed in Table 2. These working conditions remained almost constant during experiment and this data is helpful in taking results of experiment. Steady state condition achieved after 30 minute of pump startup. The change in water chemistry with respect to time is given in Table 3. Table 2: Working conditions in experiment. Sr. No. Parameter Condition 1 Coupon material M.S. 2 Coupon area 51.0 cm2 3 Temperature 90 ° C 4 Total running time 12 hrs 5 Working pressure 1 atm 6 Flow rate 0.2947 lit/sec 7 Fluid velocity 1.338 m/sec Table 3: pH and Conductivity behaviors at different time during experimental run Sr. No. Time (hrs) pH Conductivity (µs) 1 0 9.32 28.8 2 2 9.29 44.6 3 4 9.26 51.9 4 6 9.26 55.2 5 8 9.25 59.9 6 10 9.24 63.2 7 12 9.24 67.8 This behavior is shown in Figure 4. Figure 4: pH and Conductivity behavior at different time during experimental run. RESULTS CFD analysis of the feeders gave an insight into the flow behavior inside the bends. The followings may be concluded from CFD analysis: • FLUENT analysis of feeder gave the maximum wall thinning rate of 1.1 mm per year, while the reported data suggest a maximum wall thinning rate of 0.1084 mm per EFPY. • However, the wall thinning estimations in this study was in absence of chemical treatment of working fluid. Also the difference is due to neglecting the welding points in feeder geometry development and ignoring the chemical addition effect during model development.
  • 5. Advances in Physics Theories and Applications www.iiste.org ISSN 2224-719X (Paper) ISSN 2225-0638 (Online) Vol.21, 2013 8 • Corrosion rate of 1.3941, 1.6317, 1.3326 and 1.1939 g per cm2 per year is observed in mild steel for coupon no 1, 2, 3 and 4 respectively, at 90°C while the pH range is 9-10 and flow rate of 0.2947 lit per sec. • Maximum corrosion rate observed is 1.6317 g per cm2 per year and is in coupon no 2 from top from flow entrance point). • No evidence of FAC observed on coupons surface and no remarkable wall thinning was measured. However studies suggest that there is no need to do FAC studies below 90°C. • High corrosion rate in coupon is due to the reason that at higher temperature hydrazine decomposes and thus it does not scavenge oxygen properly from system. REFERENCES [1] R.B. Dooley and V.K. Chexal, “Corrosion 99: Flow accelerated corrosion,” Proc. EPRI, paper. 347. [2] Fluent Inc, “GAMBIT 2.3 Introductory GAMBIT Training,” June, 2006 [3] Fluent Inc, “FLUENT 6.3 Users guide,” September, 2006.
  • 6. This academic article was published by The International Institute for Science, Technology and Education (IISTE). The IISTE is a pioneer in the Open Access Publishing service based in the U.S. and Europe. The aim of the institute is Accelerating Global Knowledge Sharing. More information about the publisher can be found in the IISTE’s homepage: http://www.iiste.org CALL FOR PAPERS The IISTE is currently hosting more than 30 peer-reviewed academic journals and collaborating with academic institutions around the world. There’s no deadline for submission. Prospective authors of IISTE journals can find the submission instruction on the following page: http://www.iiste.org/Journals/ The IISTE editorial team promises to the review and publish all the qualified submissions in a fast manner. All the journals articles are available online to the readers all over the world without financial, legal, or technical barriers other than those inseparable from gaining access to the internet itself. Printed version of the journals is also available upon request of readers and authors. IISTE Knowledge Sharing Partners EBSCO, Index Copernicus, Ulrich's Periodicals Directory, JournalTOCS, PKP Open Archives Harvester, Bielefeld Academic Search Engine, Elektronische Zeitschriftenbibliothek EZB, Open J-Gate, OCLC WorldCat, Universe Digtial Library , NewJour, Google Scholar