SlideShare a Scribd company logo
Modeling of SiC
Composite
Production by CVI
1
2016
STR Group
VR Software for Modeling of SiC Matrix
Composite Production by CVI Process
VR™-CVI SiC Edition
3
Virtual Reactor for Modeling of SiC Matrix Composite Production
by CVI Process (2016)
Virtual Reactor (VR) was originally developed for the simulation of long-term growth of bulk crystals from
the vapor phase. VR is an easy-to-use tool that can be used by growers with no prior modeling
experience. Now software comes in multiple editions including PVT, HVPE, CVD, MOVPE. While the first
version of the software was released more than a decade ago, edition for CVI SiC was released in 2016
Editions:
VR™-PVT SiC for modeling of SiC growth by sublimation method;
VR™-PVT AlN for modeling of AlN growth by sublimation method;
VR™-CVI SiC
HEpiGaNS™ for Hydride Vapor Phase Epitaxy of GaN, AlN, and AlGaN;
VR™-CVD SiC for modeling of Chemical Vapor Deposition of SiC crystals;
VR™-NE for modeling of epitaxy group-III Nitrides by MOCVD;
VR™-III-V for modeling of epitaxy group-III Arsenides and Phosphides by MOCVD;
VR™-CVD II-VI for modeling of ZnS and ZnSe deposition by CVD
Geometry and Computational Mesh
4
For your convenience, input of the shape
outlines can be done both using mouse
and editing coordinates of the elements.
Alternatively, geometry can be imported
from AutoCAD
Automatic grid generation is available
along with multiple options for
optimizing the grid manually.
GUI provides multiple options for fast and
convenient geometry specification, …
Material Properites and Monitoring Solution Progress
5
The software comes with a database of
material properties. Materials can be
selected from the list and assigned to the
respective geometry blocks
Solution progress can be monitored
either based on residuals or by observing
evolution of some variable at some
chosen point
… several options of solution control, …
Material Process and Monitoring Solution Progress
6
Results can be visualized with built-in
tools to see distribution of the computed
variables over the cross sections
Plots can be built instantly by clicking the
respective line and choosing the variable
of interest
… and built in tools for result visualization.
Example 1: Isothermal CVI (ICVI)
7
Example 1: Isothermal CVI Process
Example 2: Thermal-Gradient CVI
Example 3: Forced-Flow CVI
Example 4: Microwave-Heated CVI
ICVI: Computational Model of the ICVI Reactor
8
Initial parameters of the preform:
Porosity: ε = 0.7
Bundle diameter: 500 μm
Process temperature: 1050 °C
Pressure: 50 mbar
Flow rate: 2.2 slm
H2:MTS ratio:10:1
ICVI: Meshing
9
Fragment of the grid
ICVI: Species Mass Fractions
10
MTS mass fraction HCl mass fraction
ICVI: SiC Deposition Rate Inside the Wall
11
Distribution of the deposition rate in the bulk of the preform. Note that the results are two
dimensional but they can be presented in more intuitive 3D form using built-in visualization tool
ICVI: Density Evolution
12
Total process duration: 355 hours
Initial preform mass: 0.70 kg
Final preform mass: 4.88 kg
Time step is
50 hours
t=350hours
Example 2: Thermal Gradient CVI (TGCVI)
13
Example 2: Thermal Gradient CVI
Example 1: Isothermal CVI Process
Example 3: Forced-Flow CVI
Example 4: Microwave-Heated CVI
TGCVI: Problem Set Up
14
Parameters:
Pressure in the system: P = 5 kPa
Temperature of the preform: T = 1000 ºC
Initial gas mixture: MTS + H2
Flow rate: F = 200 sccm,
XH2 = 0.95, XMTS = 0.05
Initial parameters of the preform:
Porosity: ε = 0.6
Bundle diameter: 500 μm
Model of overlapping cylinders is used to describe
structure of the porous medium
TGCVI: Temperature Distribution in the Reactor and Preform
15
Temperature distribution in
the whole reactor
Temperature distribution
in the preform
TGCVI: Material Supply
16
Fragment of the flow pattern at
the lower side of the preform
In computed results, one can see a
directed flow of the gas mixture into
the preform bulk. This flow is
induced by intensive deposition
process inside the porous medium
of the preform and it provides mass
supply for the densification process
TGCVI: SiC Deposition Rate
17
Fragment of SiC deposition rate distribution at the
bottom of the preform
TGCVI: Material Density
18
Evolution of the
Material Density
with Time
t = 0 h t = 80 h t = 160 h t = 240 h t = 320 h t = 400 h
TGCVI: Effect of Temperature on the Final Density and Duration
19
Dependence of final material density and the process duration on temperature
Computations reproduce the well known effect
that at higher temperatures the process becomes
faster but the ultimate quality starts decreasing at
certain temperatures due to the trade off between
the material transport to the preform core and
deposition rate.
Example 3: Forced-Flow CVI Process (FCVI)
20
Example 3: Forced-Flow CVI
Example 1: Isothermal CVI Process
Example 2: Thermal-Gradient CVI
Example 4: Microwave-Heated CVI
FCVI: Reactor and Parameters
21
Parameters:
Pressure in the system: P = 5 kPa
Temperature of the preform: T = 1000 ºC
Initial gas mixture: MTS + H2
Flow rate: F = 200 sccm,
XH2 = 0.95, XMTS = 0.05
Initial parameters of the preform:
Porosity: ε = 0.6
Bundle diameter: 500 μm
Model of overlapping cylinders is used to
describe structure of the porous medium
FCVI: Temperature Distribution
22
Temperature distributions in the whole reactor and
in the preform area are shown in different scales
to better resolve most important features.
Note that VR can be used to automatically fit the
heater power to achieve the goal temperature at
certain point specified by the user.
FCVI: Flow Pattern
23
Flow pattern in the reactor will be changing with
changing porosity of the preform. At the
beginning of the process, the gas mixture flows
through the preform along its whole height.
FCVI: Flow Pattern Evolution
24
Flow pattern after 300 h of the densification
The pores at the inner surface of the lower part of the
preform are completely plugged with the matrix material
deposited during previous stages of the process. Thus, the
gas mixture does not flow through this part of the preform.
The mixture goes only through the upper part of the
preform.
Some portion of the gas in the external region of the
chamber turns downwards and flows into the outer zones
of the bottom part of the preform providing continued
densification of these zones even after termination of the
through flow
FCVI: Evolution of the Material Density
25t = 0 h t = 90 h t = 180 h t = 270 h t = 360 h t = 460 h
FCVI: Effect of the Flow Rate
26
T = 1100 ºC
FH2 = 19 sccm
t = 250 h
T = 1100 ºC
FH2 = 2 slm
t = 430 h
For FCVI, flow rate of carrier gas is
an additional parameter affecting the
uniformity of densification.
On the right, the sets of results shows
final density distribution for the flow
rate of H2 increased compared to the
case on the left. Flow rate of MTS is
the same for both cases
Example 4: Microwave-Heated CVI (MWCVI)
27
Example 4: Microwave-Heated CVI
Example 1: Isothermal CVI Process
Example 2: Thermal-Gradient CVI
Example 3: Forced-Flow CVI
MWCVI: Reactor Design
28
Scheme of the MWCVI reactor
MW heating in the bulk of the preform leads to formation of temperature gradient typical for thermal-gradient modifications of CVI
Lab-scale MWCVI plant. Form Beatrice Cioni and
Andrea Lazzeri, International Journal of Chemical
Reactor Engineering, Vol. 6 (2008) Article A53
MWCVI: Flow Pattern in the Reactor
29
MTS + H2
Uniform heat release is specified in the bulk
of the preform to simulate MW heating
Parameters
Preform temperature: 1050 °C
Pressure: 150 mbar
Flow rate: 2.2 slm
H2:MTS ratio:10:1
Initial parameters of the preform:
Porosity: ε = 0.7
Bundle diameter: 800 μm
Density: ρ = 966 kg/m3
MWCVI: Temperature Distribution
30
Temperature distribution in the reaction chamber
Detailed temperature distribution in the preform
MWCVI: Material Density Evolution
31
t = 0 h
t = 10 h
t = 20 h
t = 30 h
t = 40 h
t = 57 h
ρ, kg/m3
MWCVI: Effect of Temperature on Cycle Length and Material Quality
32
T = 1000 °C
T = 1050 °C
T = 1100 °C
T = 1150 °C
T = 1200 °C
ρ, kg/m3
duration: 120 h
duration: 57 h
duration: 34 h
duration: 22 h
duration: 15 h
Dependence of the final material density and the process duration on the temperature
VR™-CVI SiC Edition
33
To summarize:
VR is capable of simulating all major physical phenomena in CVI of SiC-matrix
composites;
The tool can be used for optimization of both reactor hardware and the recipe, showing
the effect of temperature and flow rates on the cycle length and material quality;
Software has intuitive user interface, material database and built-in visualization tools,
making the work efficient ;
It does not require prior experience in numerical modeling, moreover, the software was
designed to be used by the researchers and engineers working with the growth
equipment;
Our team provides online customer training and support guiding the user through every
stage of the modeling process when needed
Contact us at www.str-soft.com/contact

More Related Content

Similar to Modeling of SiC Matrix Composite Production by CVI Process

Numerical Simulation Slides for NBIL Presentation in Queens university
Numerical Simulation Slides for NBIL Presentation in Queens universityNumerical Simulation Slides for NBIL Presentation in Queens university
Numerical Simulation Slides for NBIL Presentation in Queens university
Yashar Seyed Vahedein
 
Gas and Liquid routes for ceramic matrix composites Shameel Farhan
Gas and Liquid routes for ceramic matrix composites Shameel FarhanGas and Liquid routes for ceramic matrix composites Shameel Farhan
Gas and Liquid routes for ceramic matrix composites Shameel Farhan
shameel farhan
 
Numerical study on heat transfer and densification for SiC composites during ...
Numerical study on heat transfer and densification for SiC composites during ...Numerical study on heat transfer and densification for SiC composites during ...
Numerical study on heat transfer and densification for SiC composites during ...
ZAHER RAMADAN
 
IRJET - Experimental Analysis on Shell and Tube Heat Exchanger using ANSYS
IRJET -  	  Experimental Analysis on Shell and Tube Heat Exchanger using ANSYSIRJET -  	  Experimental Analysis on Shell and Tube Heat Exchanger using ANSYS
IRJET - Experimental Analysis on Shell and Tube Heat Exchanger using ANSYS
IRJET Journal
 
IRJET- Numerical Modeling of Phase Change Material to Enhance Heat Transfer u...
IRJET- Numerical Modeling of Phase Change Material to Enhance Heat Transfer u...IRJET- Numerical Modeling of Phase Change Material to Enhance Heat Transfer u...
IRJET- Numerical Modeling of Phase Change Material to Enhance Heat Transfer u...
IRJET Journal
 
proposal presentation file-linked
proposal presentation file-linkedproposal presentation file-linked
proposal presentation file-linked
Yashar Seyed Vahedein
 
Numarical simulation of a "Swirling jet" expanding inside a combust...
Numarical simulation of a "Swirling jet" expanding inside a combust...Numarical simulation of a "Swirling jet" expanding inside a combust...
Numarical simulation of a "Swirling jet" expanding inside a combust...
numenor80
 
Estimation of Heat Flux on A Launch Vehicle Fin at Hypersonic Mach Numbers --...
Estimation of Heat Flux on A Launch Vehicle Fin at Hypersonic Mach Numbers --...Estimation of Heat Flux on A Launch Vehicle Fin at Hypersonic Mach Numbers --...
Estimation of Heat Flux on A Launch Vehicle Fin at Hypersonic Mach Numbers --...
Abhishek Jain
 
IRJET- An Experimental Study of Pool Boiling Heat Transfer Enhancement in...
IRJET-  	  An Experimental Study of Pool Boiling Heat Transfer Enhancement in...IRJET-  	  An Experimental Study of Pool Boiling Heat Transfer Enhancement in...
IRJET- An Experimental Study of Pool Boiling Heat Transfer Enhancement in...
IRJET Journal
 
Conjugate Heat Transfer Analysis in a Cryogenic Microchannel Heat Exchanger
Conjugate Heat Transfer Analysis in a Cryogenic Microchannel Heat ExchangerConjugate Heat Transfer Analysis in a Cryogenic Microchannel Heat Exchanger
Conjugate Heat Transfer Analysis in a Cryogenic Microchannel Heat Exchanger
IRJET Journal
 
Heat transfer enhancement in fire tube boiler using hellically ribbed tubes.
Heat transfer enhancement in fire tube boiler using hellically ribbed tubes.Heat transfer enhancement in fire tube boiler using hellically ribbed tubes.
Heat transfer enhancement in fire tube boiler using hellically ribbed tubes.
IRJET Journal
 
Epc 2017 improof presentation final
Epc 2017 improof presentation finalEpc 2017 improof presentation final
Epc 2017 improof presentation final
Linda Keijmel
 
Epc 2017 improof presentation final
Epc 2017 improof presentation finalEpc 2017 improof presentation final
Epc 2017 improof presentation final
Martin Vinjé
 
Thermoplastic composites for Wind Energy
Thermoplastic composites for Wind EnergyThermoplastic composites for Wind Energy
Thermoplastic composites for Wind Energy
John R. Dorgan
 
Similateur
SimilateurSimilateur
Similateur
kamal BOULECHFAR
 
Experimental investigate to obtain the effectiveness of regenerator using Air.
Experimental investigate to obtain the effectiveness of regenerator using Air.Experimental investigate to obtain the effectiveness of regenerator using Air.
Experimental investigate to obtain the effectiveness of regenerator using Air.
IJESFT
 
FINAL2 PPT3
FINAL2 PPT3FINAL2 PPT3
FINAL2 PPT3
Samiullah Qureshi
 
Me2202 engineering thermodynamics uq - may june 2014
Me2202 engineering thermodynamics   uq - may june 2014Me2202 engineering thermodynamics   uq - may june 2014
Me2202 engineering thermodynamics uq - may june 2014
BIBIN CHIDAMBARANATHAN
 
Chemical vapour infiltration
Chemical vapour infiltration Chemical vapour infiltration
Chemical vapour infiltration
Jyothireddy Inturi
 
Coarse CFD-DEM simulation of Rare Earth Element leaching reactor, FCC re-gen...
Coarse CFD-DEM simulation of Rare Earth Element leaching reactor,  FCC re-gen...Coarse CFD-DEM simulation of Rare Earth Element leaching reactor,  FCC re-gen...
Coarse CFD-DEM simulation of Rare Earth Element leaching reactor, FCC re-gen...
Liqiang Lu
 

Similar to Modeling of SiC Matrix Composite Production by CVI Process (20)

Numerical Simulation Slides for NBIL Presentation in Queens university
Numerical Simulation Slides for NBIL Presentation in Queens universityNumerical Simulation Slides for NBIL Presentation in Queens university
Numerical Simulation Slides for NBIL Presentation in Queens university
 
Gas and Liquid routes for ceramic matrix composites Shameel Farhan
Gas and Liquid routes for ceramic matrix composites Shameel FarhanGas and Liquid routes for ceramic matrix composites Shameel Farhan
Gas and Liquid routes for ceramic matrix composites Shameel Farhan
 
Numerical study on heat transfer and densification for SiC composites during ...
Numerical study on heat transfer and densification for SiC composites during ...Numerical study on heat transfer and densification for SiC composites during ...
Numerical study on heat transfer and densification for SiC composites during ...
 
IRJET - Experimental Analysis on Shell and Tube Heat Exchanger using ANSYS
IRJET -  	  Experimental Analysis on Shell and Tube Heat Exchanger using ANSYSIRJET -  	  Experimental Analysis on Shell and Tube Heat Exchanger using ANSYS
IRJET - Experimental Analysis on Shell and Tube Heat Exchanger using ANSYS
 
IRJET- Numerical Modeling of Phase Change Material to Enhance Heat Transfer u...
IRJET- Numerical Modeling of Phase Change Material to Enhance Heat Transfer u...IRJET- Numerical Modeling of Phase Change Material to Enhance Heat Transfer u...
IRJET- Numerical Modeling of Phase Change Material to Enhance Heat Transfer u...
 
proposal presentation file-linked
proposal presentation file-linkedproposal presentation file-linked
proposal presentation file-linked
 
Numarical simulation of a "Swirling jet" expanding inside a combust...
Numarical simulation of a "Swirling jet" expanding inside a combust...Numarical simulation of a "Swirling jet" expanding inside a combust...
Numarical simulation of a "Swirling jet" expanding inside a combust...
 
Estimation of Heat Flux on A Launch Vehicle Fin at Hypersonic Mach Numbers --...
Estimation of Heat Flux on A Launch Vehicle Fin at Hypersonic Mach Numbers --...Estimation of Heat Flux on A Launch Vehicle Fin at Hypersonic Mach Numbers --...
Estimation of Heat Flux on A Launch Vehicle Fin at Hypersonic Mach Numbers --...
 
IRJET- An Experimental Study of Pool Boiling Heat Transfer Enhancement in...
IRJET-  	  An Experimental Study of Pool Boiling Heat Transfer Enhancement in...IRJET-  	  An Experimental Study of Pool Boiling Heat Transfer Enhancement in...
IRJET- An Experimental Study of Pool Boiling Heat Transfer Enhancement in...
 
Conjugate Heat Transfer Analysis in a Cryogenic Microchannel Heat Exchanger
Conjugate Heat Transfer Analysis in a Cryogenic Microchannel Heat ExchangerConjugate Heat Transfer Analysis in a Cryogenic Microchannel Heat Exchanger
Conjugate Heat Transfer Analysis in a Cryogenic Microchannel Heat Exchanger
 
Heat transfer enhancement in fire tube boiler using hellically ribbed tubes.
Heat transfer enhancement in fire tube boiler using hellically ribbed tubes.Heat transfer enhancement in fire tube boiler using hellically ribbed tubes.
Heat transfer enhancement in fire tube boiler using hellically ribbed tubes.
 
Epc 2017 improof presentation final
Epc 2017 improof presentation finalEpc 2017 improof presentation final
Epc 2017 improof presentation final
 
Epc 2017 improof presentation final
Epc 2017 improof presentation finalEpc 2017 improof presentation final
Epc 2017 improof presentation final
 
Thermoplastic composites for Wind Energy
Thermoplastic composites for Wind EnergyThermoplastic composites for Wind Energy
Thermoplastic composites for Wind Energy
 
Similateur
SimilateurSimilateur
Similateur
 
Experimental investigate to obtain the effectiveness of regenerator using Air.
Experimental investigate to obtain the effectiveness of regenerator using Air.Experimental investigate to obtain the effectiveness of regenerator using Air.
Experimental investigate to obtain the effectiveness of regenerator using Air.
 
FINAL2 PPT3
FINAL2 PPT3FINAL2 PPT3
FINAL2 PPT3
 
Me2202 engineering thermodynamics uq - may june 2014
Me2202 engineering thermodynamics   uq - may june 2014Me2202 engineering thermodynamics   uq - may june 2014
Me2202 engineering thermodynamics uq - may june 2014
 
Chemical vapour infiltration
Chemical vapour infiltration Chemical vapour infiltration
Chemical vapour infiltration
 
Coarse CFD-DEM simulation of Rare Earth Element leaching reactor, FCC re-gen...
Coarse CFD-DEM simulation of Rare Earth Element leaching reactor,  FCC re-gen...Coarse CFD-DEM simulation of Rare Earth Element leaching reactor,  FCC re-gen...
Coarse CFD-DEM simulation of Rare Earth Element leaching reactor, FCC re-gen...
 

Recently uploaded

GreenCode-A-VSCode-Plugin--Dario-Jurisic
GreenCode-A-VSCode-Plugin--Dario-JurisicGreenCode-A-VSCode-Plugin--Dario-Jurisic
GreenCode-A-VSCode-Plugin--Dario-Jurisic
Green Software Development
 
Microservice Teams - How the cloud changes the way we work
Microservice Teams - How the cloud changes the way we workMicroservice Teams - How the cloud changes the way we work
Microservice Teams - How the cloud changes the way we work
Sven Peters
 
ALGIT - Assembly Line for Green IT - Numbers, Data, Facts
ALGIT - Assembly Line for Green IT - Numbers, Data, FactsALGIT - Assembly Line for Green IT - Numbers, Data, Facts
ALGIT - Assembly Line for Green IT - Numbers, Data, Facts
Green Software Development
 
LORRAINE ANDREI_LEQUIGAN_HOW TO USE ZOOM
LORRAINE ANDREI_LEQUIGAN_HOW TO USE ZOOMLORRAINE ANDREI_LEQUIGAN_HOW TO USE ZOOM
LORRAINE ANDREI_LEQUIGAN_HOW TO USE ZOOM
lorraineandreiamcidl
 
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Atelier - Innover avec l’IA Générative et les graphes de connaissancesAtelier - Innover avec l’IA Générative et les graphes de connaissances
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Neo4j
 
2024 eCommerceDays Toulouse - Sylius 2.0.pdf
2024 eCommerceDays Toulouse - Sylius 2.0.pdf2024 eCommerceDays Toulouse - Sylius 2.0.pdf
2024 eCommerceDays Toulouse - Sylius 2.0.pdf
Łukasz Chruściel
 
Revolutionizing Visual Effects Mastering AI Face Swaps.pdf
Revolutionizing Visual Effects Mastering AI Face Swaps.pdfRevolutionizing Visual Effects Mastering AI Face Swaps.pdf
Revolutionizing Visual Effects Mastering AI Face Swaps.pdf
Undress Baby
 
What is Augmented Reality Image Tracking
What is Augmented Reality Image TrackingWhat is Augmented Reality Image Tracking
What is Augmented Reality Image Tracking
pavan998932
 
E-commerce Development Services- Hornet Dynamics
E-commerce Development Services- Hornet DynamicsE-commerce Development Services- Hornet Dynamics
E-commerce Development Services- Hornet Dynamics
Hornet Dynamics
 
LORRAINE ANDREI_LEQUIGAN_HOW TO USE WHATSAPP.pptx
LORRAINE ANDREI_LEQUIGAN_HOW TO USE WHATSAPP.pptxLORRAINE ANDREI_LEQUIGAN_HOW TO USE WHATSAPP.pptx
LORRAINE ANDREI_LEQUIGAN_HOW TO USE WHATSAPP.pptx
lorraineandreiamcidl
 
原版定制美国纽约州立大学奥尔巴尼分校毕业证学位证书原版一模一样
原版定制美国纽约州立大学奥尔巴尼分校毕业证学位证书原版一模一样原版定制美国纽约州立大学奥尔巴尼分校毕业证学位证书原版一模一样
原版定制美国纽约州立大学奥尔巴尼分校毕业证学位证书原版一模一样
mz5nrf0n
 
Orion Context Broker introduction 20240604
Orion Context Broker introduction 20240604Orion Context Broker introduction 20240604
Orion Context Broker introduction 20240604
Fermin Galan
 
E-commerce Application Development Company.pdf
E-commerce Application Development Company.pdfE-commerce Application Development Company.pdf
E-commerce Application Development Company.pdf
Hornet Dynamics
 
Graspan: A Big Data System for Big Code Analysis
Graspan: A Big Data System for Big Code AnalysisGraspan: A Big Data System for Big Code Analysis
Graspan: A Big Data System for Big Code Analysis
Aftab Hussain
 
SWEBOK and Education at FUSE Okinawa 2024
SWEBOK and Education at FUSE Okinawa 2024SWEBOK and Education at FUSE Okinawa 2024
SWEBOK and Education at FUSE Okinawa 2024
Hironori Washizaki
 
socradar-q1-2024-aviation-industry-report.pdf
socradar-q1-2024-aviation-industry-report.pdfsocradar-q1-2024-aviation-industry-report.pdf
socradar-q1-2024-aviation-industry-report.pdf
SOCRadar
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Safe Software
 
Enterprise Resource Planning System in Telangana
Enterprise Resource Planning System in TelanganaEnterprise Resource Planning System in Telangana
Enterprise Resource Planning System in Telangana
NYGGS Automation Suite
 
openEuler Case Study - The Journey to Supply Chain Security
openEuler Case Study - The Journey to Supply Chain SecurityopenEuler Case Study - The Journey to Supply Chain Security
openEuler Case Study - The Journey to Supply Chain Security
Shane Coughlan
 
GraphSummit Paris - The art of the possible with Graph Technology
GraphSummit Paris - The art of the possible with Graph TechnologyGraphSummit Paris - The art of the possible with Graph Technology
GraphSummit Paris - The art of the possible with Graph Technology
Neo4j
 

Recently uploaded (20)

GreenCode-A-VSCode-Plugin--Dario-Jurisic
GreenCode-A-VSCode-Plugin--Dario-JurisicGreenCode-A-VSCode-Plugin--Dario-Jurisic
GreenCode-A-VSCode-Plugin--Dario-Jurisic
 
Microservice Teams - How the cloud changes the way we work
Microservice Teams - How the cloud changes the way we workMicroservice Teams - How the cloud changes the way we work
Microservice Teams - How the cloud changes the way we work
 
ALGIT - Assembly Line for Green IT - Numbers, Data, Facts
ALGIT - Assembly Line for Green IT - Numbers, Data, FactsALGIT - Assembly Line for Green IT - Numbers, Data, Facts
ALGIT - Assembly Line for Green IT - Numbers, Data, Facts
 
LORRAINE ANDREI_LEQUIGAN_HOW TO USE ZOOM
LORRAINE ANDREI_LEQUIGAN_HOW TO USE ZOOMLORRAINE ANDREI_LEQUIGAN_HOW TO USE ZOOM
LORRAINE ANDREI_LEQUIGAN_HOW TO USE ZOOM
 
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Atelier - Innover avec l’IA Générative et les graphes de connaissancesAtelier - Innover avec l’IA Générative et les graphes de connaissances
Atelier - Innover avec l’IA Générative et les graphes de connaissances
 
2024 eCommerceDays Toulouse - Sylius 2.0.pdf
2024 eCommerceDays Toulouse - Sylius 2.0.pdf2024 eCommerceDays Toulouse - Sylius 2.0.pdf
2024 eCommerceDays Toulouse - Sylius 2.0.pdf
 
Revolutionizing Visual Effects Mastering AI Face Swaps.pdf
Revolutionizing Visual Effects Mastering AI Face Swaps.pdfRevolutionizing Visual Effects Mastering AI Face Swaps.pdf
Revolutionizing Visual Effects Mastering AI Face Swaps.pdf
 
What is Augmented Reality Image Tracking
What is Augmented Reality Image TrackingWhat is Augmented Reality Image Tracking
What is Augmented Reality Image Tracking
 
E-commerce Development Services- Hornet Dynamics
E-commerce Development Services- Hornet DynamicsE-commerce Development Services- Hornet Dynamics
E-commerce Development Services- Hornet Dynamics
 
LORRAINE ANDREI_LEQUIGAN_HOW TO USE WHATSAPP.pptx
LORRAINE ANDREI_LEQUIGAN_HOW TO USE WHATSAPP.pptxLORRAINE ANDREI_LEQUIGAN_HOW TO USE WHATSAPP.pptx
LORRAINE ANDREI_LEQUIGAN_HOW TO USE WHATSAPP.pptx
 
原版定制美国纽约州立大学奥尔巴尼分校毕业证学位证书原版一模一样
原版定制美国纽约州立大学奥尔巴尼分校毕业证学位证书原版一模一样原版定制美国纽约州立大学奥尔巴尼分校毕业证学位证书原版一模一样
原版定制美国纽约州立大学奥尔巴尼分校毕业证学位证书原版一模一样
 
Orion Context Broker introduction 20240604
Orion Context Broker introduction 20240604Orion Context Broker introduction 20240604
Orion Context Broker introduction 20240604
 
E-commerce Application Development Company.pdf
E-commerce Application Development Company.pdfE-commerce Application Development Company.pdf
E-commerce Application Development Company.pdf
 
Graspan: A Big Data System for Big Code Analysis
Graspan: A Big Data System for Big Code AnalysisGraspan: A Big Data System for Big Code Analysis
Graspan: A Big Data System for Big Code Analysis
 
SWEBOK and Education at FUSE Okinawa 2024
SWEBOK and Education at FUSE Okinawa 2024SWEBOK and Education at FUSE Okinawa 2024
SWEBOK and Education at FUSE Okinawa 2024
 
socradar-q1-2024-aviation-industry-report.pdf
socradar-q1-2024-aviation-industry-report.pdfsocradar-q1-2024-aviation-industry-report.pdf
socradar-q1-2024-aviation-industry-report.pdf
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
 
Enterprise Resource Planning System in Telangana
Enterprise Resource Planning System in TelanganaEnterprise Resource Planning System in Telangana
Enterprise Resource Planning System in Telangana
 
openEuler Case Study - The Journey to Supply Chain Security
openEuler Case Study - The Journey to Supply Chain SecurityopenEuler Case Study - The Journey to Supply Chain Security
openEuler Case Study - The Journey to Supply Chain Security
 
GraphSummit Paris - The art of the possible with Graph Technology
GraphSummit Paris - The art of the possible with Graph TechnologyGraphSummit Paris - The art of the possible with Graph Technology
GraphSummit Paris - The art of the possible with Graph Technology
 

Modeling of SiC Matrix Composite Production by CVI Process

  • 2. 2016 STR Group VR Software for Modeling of SiC Matrix Composite Production by CVI Process
  • 3. VR™-CVI SiC Edition 3 Virtual Reactor for Modeling of SiC Matrix Composite Production by CVI Process (2016) Virtual Reactor (VR) was originally developed for the simulation of long-term growth of bulk crystals from the vapor phase. VR is an easy-to-use tool that can be used by growers with no prior modeling experience. Now software comes in multiple editions including PVT, HVPE, CVD, MOVPE. While the first version of the software was released more than a decade ago, edition for CVI SiC was released in 2016 Editions: VR™-PVT SiC for modeling of SiC growth by sublimation method; VR™-PVT AlN for modeling of AlN growth by sublimation method; VR™-CVI SiC HEpiGaNS™ for Hydride Vapor Phase Epitaxy of GaN, AlN, and AlGaN; VR™-CVD SiC for modeling of Chemical Vapor Deposition of SiC crystals; VR™-NE for modeling of epitaxy group-III Nitrides by MOCVD; VR™-III-V for modeling of epitaxy group-III Arsenides and Phosphides by MOCVD; VR™-CVD II-VI for modeling of ZnS and ZnSe deposition by CVD
  • 4. Geometry and Computational Mesh 4 For your convenience, input of the shape outlines can be done both using mouse and editing coordinates of the elements. Alternatively, geometry can be imported from AutoCAD Automatic grid generation is available along with multiple options for optimizing the grid manually. GUI provides multiple options for fast and convenient geometry specification, …
  • 5. Material Properites and Monitoring Solution Progress 5 The software comes with a database of material properties. Materials can be selected from the list and assigned to the respective geometry blocks Solution progress can be monitored either based on residuals or by observing evolution of some variable at some chosen point … several options of solution control, …
  • 6. Material Process and Monitoring Solution Progress 6 Results can be visualized with built-in tools to see distribution of the computed variables over the cross sections Plots can be built instantly by clicking the respective line and choosing the variable of interest … and built in tools for result visualization.
  • 7. Example 1: Isothermal CVI (ICVI) 7 Example 1: Isothermal CVI Process Example 2: Thermal-Gradient CVI Example 3: Forced-Flow CVI Example 4: Microwave-Heated CVI
  • 8. ICVI: Computational Model of the ICVI Reactor 8 Initial parameters of the preform: Porosity: ε = 0.7 Bundle diameter: 500 μm Process temperature: 1050 °C Pressure: 50 mbar Flow rate: 2.2 slm H2:MTS ratio:10:1
  • 10. ICVI: Species Mass Fractions 10 MTS mass fraction HCl mass fraction
  • 11. ICVI: SiC Deposition Rate Inside the Wall 11 Distribution of the deposition rate in the bulk of the preform. Note that the results are two dimensional but they can be presented in more intuitive 3D form using built-in visualization tool
  • 12. ICVI: Density Evolution 12 Total process duration: 355 hours Initial preform mass: 0.70 kg Final preform mass: 4.88 kg Time step is 50 hours t=350hours
  • 13. Example 2: Thermal Gradient CVI (TGCVI) 13 Example 2: Thermal Gradient CVI Example 1: Isothermal CVI Process Example 3: Forced-Flow CVI Example 4: Microwave-Heated CVI
  • 14. TGCVI: Problem Set Up 14 Parameters: Pressure in the system: P = 5 kPa Temperature of the preform: T = 1000 ºC Initial gas mixture: MTS + H2 Flow rate: F = 200 sccm, XH2 = 0.95, XMTS = 0.05 Initial parameters of the preform: Porosity: ε = 0.6 Bundle diameter: 500 μm Model of overlapping cylinders is used to describe structure of the porous medium
  • 15. TGCVI: Temperature Distribution in the Reactor and Preform 15 Temperature distribution in the whole reactor Temperature distribution in the preform
  • 16. TGCVI: Material Supply 16 Fragment of the flow pattern at the lower side of the preform In computed results, one can see a directed flow of the gas mixture into the preform bulk. This flow is induced by intensive deposition process inside the porous medium of the preform and it provides mass supply for the densification process
  • 17. TGCVI: SiC Deposition Rate 17 Fragment of SiC deposition rate distribution at the bottom of the preform
  • 18. TGCVI: Material Density 18 Evolution of the Material Density with Time t = 0 h t = 80 h t = 160 h t = 240 h t = 320 h t = 400 h
  • 19. TGCVI: Effect of Temperature on the Final Density and Duration 19 Dependence of final material density and the process duration on temperature Computations reproduce the well known effect that at higher temperatures the process becomes faster but the ultimate quality starts decreasing at certain temperatures due to the trade off between the material transport to the preform core and deposition rate.
  • 20. Example 3: Forced-Flow CVI Process (FCVI) 20 Example 3: Forced-Flow CVI Example 1: Isothermal CVI Process Example 2: Thermal-Gradient CVI Example 4: Microwave-Heated CVI
  • 21. FCVI: Reactor and Parameters 21 Parameters: Pressure in the system: P = 5 kPa Temperature of the preform: T = 1000 ºC Initial gas mixture: MTS + H2 Flow rate: F = 200 sccm, XH2 = 0.95, XMTS = 0.05 Initial parameters of the preform: Porosity: ε = 0.6 Bundle diameter: 500 μm Model of overlapping cylinders is used to describe structure of the porous medium
  • 22. FCVI: Temperature Distribution 22 Temperature distributions in the whole reactor and in the preform area are shown in different scales to better resolve most important features. Note that VR can be used to automatically fit the heater power to achieve the goal temperature at certain point specified by the user.
  • 23. FCVI: Flow Pattern 23 Flow pattern in the reactor will be changing with changing porosity of the preform. At the beginning of the process, the gas mixture flows through the preform along its whole height.
  • 24. FCVI: Flow Pattern Evolution 24 Flow pattern after 300 h of the densification The pores at the inner surface of the lower part of the preform are completely plugged with the matrix material deposited during previous stages of the process. Thus, the gas mixture does not flow through this part of the preform. The mixture goes only through the upper part of the preform. Some portion of the gas in the external region of the chamber turns downwards and flows into the outer zones of the bottom part of the preform providing continued densification of these zones even after termination of the through flow
  • 25. FCVI: Evolution of the Material Density 25t = 0 h t = 90 h t = 180 h t = 270 h t = 360 h t = 460 h
  • 26. FCVI: Effect of the Flow Rate 26 T = 1100 ºC FH2 = 19 sccm t = 250 h T = 1100 ºC FH2 = 2 slm t = 430 h For FCVI, flow rate of carrier gas is an additional parameter affecting the uniformity of densification. On the right, the sets of results shows final density distribution for the flow rate of H2 increased compared to the case on the left. Flow rate of MTS is the same for both cases
  • 27. Example 4: Microwave-Heated CVI (MWCVI) 27 Example 4: Microwave-Heated CVI Example 1: Isothermal CVI Process Example 2: Thermal-Gradient CVI Example 3: Forced-Flow CVI
  • 28. MWCVI: Reactor Design 28 Scheme of the MWCVI reactor MW heating in the bulk of the preform leads to formation of temperature gradient typical for thermal-gradient modifications of CVI Lab-scale MWCVI plant. Form Beatrice Cioni and Andrea Lazzeri, International Journal of Chemical Reactor Engineering, Vol. 6 (2008) Article A53
  • 29. MWCVI: Flow Pattern in the Reactor 29 MTS + H2 Uniform heat release is specified in the bulk of the preform to simulate MW heating Parameters Preform temperature: 1050 °C Pressure: 150 mbar Flow rate: 2.2 slm H2:MTS ratio:10:1 Initial parameters of the preform: Porosity: ε = 0.7 Bundle diameter: 800 μm Density: ρ = 966 kg/m3
  • 30. MWCVI: Temperature Distribution 30 Temperature distribution in the reaction chamber Detailed temperature distribution in the preform
  • 31. MWCVI: Material Density Evolution 31 t = 0 h t = 10 h t = 20 h t = 30 h t = 40 h t = 57 h ρ, kg/m3
  • 32. MWCVI: Effect of Temperature on Cycle Length and Material Quality 32 T = 1000 °C T = 1050 °C T = 1100 °C T = 1150 °C T = 1200 °C ρ, kg/m3 duration: 120 h duration: 57 h duration: 34 h duration: 22 h duration: 15 h Dependence of the final material density and the process duration on the temperature
  • 33. VR™-CVI SiC Edition 33 To summarize: VR is capable of simulating all major physical phenomena in CVI of SiC-matrix composites; The tool can be used for optimization of both reactor hardware and the recipe, showing the effect of temperature and flow rates on the cycle length and material quality; Software has intuitive user interface, material database and built-in visualization tools, making the work efficient ; It does not require prior experience in numerical modeling, moreover, the software was designed to be used by the researchers and engineers working with the growth equipment; Our team provides online customer training and support guiding the user through every stage of the modeling process when needed Contact us at www.str-soft.com/contact