comptest 2011 monitoring key parameters during the elaboration of composite parts by resin transfer...
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![Page 1: CompTest 2011 Monitoring key parameters during the elaboration of composite parts by resin transfer moulding process (RTM) Presented by Marc WARIS 15/02/2011,](https://reader034.vdocuments.site/reader034/viewer/2022051619/56649d6b5503460f94a49b2c/html5/thumbnails/1.jpg)
CompTest 2011
Monitoring key parameters during the elaboration of composite parts by resin transfer moulding process (RTM)
Presented byMarc WARIS
15/02/2011, Lausanne (Switzerland)B. Tortech, E. Marin, A. Vautrin
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Outline
• Context and process monitoring
• Development of a specific Optical Fiber Sensor (OFS)
• Monitoring Resin Transfer Moulding process (RTM) by OFS
• Conclusions and perspectives
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Context and process monitoring
3
Context
Development of LCM process for complex part manufacturing (Project LCM Smart)
Today Empirical Approach Realization of trial, geometric compensation mould Problematics:
• the time and the cost development increase• No information on the sensibility of the process
Towards a more scientific Approach Development of the process knowledge through appropriated instrumentation Modeling of the process
First steps
- Development of a specific optical fiber sensor (OFS)
- Feasibility assessment of the instrumentation process (RTM)
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Context and process monitoring
44
Why monitoring Resin Transfer Moulding Process (RTM)
To reduce the number of scrap parts To have a better knowledge of the process :
Tooling design (Injection strategy) Find the suitable parameters
To reduce the time development of new part
Reduction development cost
To control the evolution of physical parameter during the elaboration Evolution of temperature and strain inside the part
• Control of the thermal cycle Control of the cure degree evolution
• Control of the time process cycle Detection of the flow front
• Control of the filling stage
Process improvement and their reliability
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Context and process monitoring
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Which sensor for monitoring process
Optical fiber sensor :
Monitoring of several parameters inside the preform Which parameters can we measure?
Great tool for optimizing composite process
Advantages :
- Low dimension (250 µm diameter)
- Multiplexing several sensors
- Local measurement (in situ)
Drawbacks :
- Brittle
- Connectivity
Fiber Bragg Grating (FBG)
Fresnel principle
Two kinds of sensors
Temperature and Strain inside the preform
Output Data- to detect the resin presence
- to monitor the curing stage of thermoset resin
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Development of a specific optical fiber sensor
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Development of a specific optical fiber sensor
Objectives : Assessment of the temperature and the strain with a resolution of 1°C and around
50 µε respectively Minimizing the intrusivity of sensor
Problematic : Discrimination of the temperature and the strain
1) temperature compensation with a thermocouple
Carbon fiber 90°
Conductor Weft
Teflon Insulator
Flaw
Good resolution
High intrusivity (600 µm)
Difficult to multiplex
Low intrusivity (125 µm)
Easy to multiplex
Limited resolution
OFS
2) Dual grating method
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Development of a specific optical fiber sensor
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Development of a specific optical fiber sensor
Dual grating method : Two FBG inscribed side by side in the same optical fiber
Current limits :• the conditionement of the matrix K• the resolution of Bragg’s wavelength measure
Dual grating with different types of FBG : FBG type I, IA and IIA
• Different sensitivities to the temperature
FBG IA
FBG IIA
FBG I
1
1 1 1
2 22
2
.
B
B T
TB
B
K K T
K K
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Development of a specific optical fiber sensor
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Assessment of sensor’s sensitivity
Tested with calibrate equipment Temperature :
Grating KT(pm/°C) Kε(pm/µε)
FBG I 9.97 1.28
FBG IA 9.67 1.28
FBG IIA 10.43 1.31
Sensivities
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Development of a specific optical fiber sensor
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Discrimination with FBG IA/ IIA
Errors analysis Theorical approach
• Errors propagation
Experimental tests• Results issued from equipment test
max 1
max 2
( , )
( , )i Ti
i Ti
T f K K
g K K
Dual-Grating sensing scheme
Temperature errors (°C/pm)
Strain errors (µε/pm)
FBG I / FBG IIA 6.32 49.8
FBG IA / FBG IIA 2.38 20.8
Interrogation system
Sensor1 2 1with pm
Dual-Grating sensing scheme
Temperature errors (°C)
Strain errors (µε)
FBG IA / FBG IIA 8 120
Increase of errors caused by :
- Some problem with equipment test (homogeneity of temperature along the fiber)
- slow Interrogation system (1 min for one spectrum)
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Monitoring RTM process by OFS
1010
Case Study
Materials : Woven 48580 [902,03,902] panel 430x430x4 mm
Resin RTM 6 Mono component
RTM process and instrumentationProcess Parameters
Injection
Thermal cycle
t (min)
Ø
(cc/min)
Pl=3bar50
4 10
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Monitoring RTM process by OFS
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Embedded sensor in rigid tool
RTM process harsh environment High compaction of reinforcement Relative High Pressure of injection (3 bars) Shrinkage of the resin in the injection channel
Some requirements Good alignment of optical fiber inside the preform Perfect seal between the optical fiber and the mould
Two solutions
- Groove with sealant - Sealed feedthrough
Easy to implement in laboratory mould
- Safety solution for industrial mould
- Accurate sensor positioning
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Monitoring RTM process by OFS
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• Preparation of surface mould• Embedding of sensor in the middle of the preform
Case Study in photos
• Final part after removal from the mould• Compaction of the preform and injection
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Monitoring RTM process by OFS
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Response of sensor during the process
Evolution of Bragg’s wavelength
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Monitoring RTM process by OFS
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Response of sensor during the process
Evolution of the temperature
- We noticed no variation of Bragg’s Wavelength during the injection
No detection of the flow front
- No exothermic phenomena measured
thin plate
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Monitoring RTM process by OFS
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Response of sensor during the process
Evolution of strain
Influence of the mould during the RTM process
360 µε induced by the mould in the cooling stage
Debonding between the part and the mould
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Conclusion & Perspectives
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Conclusions & Perspectives
Dual grating method is a good way to discriminate the temperature and the strain Easy to multiplex several sensor along the same fiber Less intrusive than a sensor with temperature compensation
Validation of RTM process instrumentation with reference model parts
Application of the OFS to complex shaped parts : manufacturing of thick part and thickness variation influence of process parameters upon the quality of the final part
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Thank you for your attention