ufac
Intelligent Process Monitoring for
Faster Production of Composite Parts
Dr Nikos Pantelelis
Synthesites
Brussels, Belgium
be@synthesites.com
Synthesites
2
World leader in intelligent process monitoring in Composites
We are working with composites manufacturers for:
• Reducing cycle time
• Ensuring quality and traceability
• Enhancing R&D performance
• Achieving Industry 4.0 benefits
Products and Services
OptiMold system for monitoring resin cure, resin viscosity, mixing ratio quality and
resin quality
OptiFlow system for optimising mould filling, process automation and simple
process control
OptiSensors (durable/ disposable, flexible, outlet, custom)
Real-time calculation of Tg/ degree of cure/ viscosity/ resin quality
Automation, design and prototyping solutions
3
optiflow
Resin arrival and
temperature
◼ 4 temperature and resin arrival sensors
◼ Electrical resistance-based measurements and RTD
temperature sensing
◼ Continuous connection checking
◼ One relay output for process automation
4
Real-time measuring of
• Resin’s electrical resistance (from 0.1 MOhm up to 100 TOhm)
• temperature (pt100 sensor with 0.1oC accuracy)
Input of external signals e.g. pressure sensors
Optimold
Cure, viscosity,
resin quality check
5
CF In-mould
Durable
Curved Durable
6
Nikos
New
Industrial system
OptiCure system
• A new User-Interface (HMI) for
automatic operations
• Up to 4 cure sensors
• Industrial windows-based PC
• Touch screen IP65
• Online Resin State software
• Alarms
• Several connectivity options
including connection to PLC
7
Intelligent
Process
Control
Intelligent
Process control
Temperature
controller(s)
Press
controller
Measuring resistivity,
temperature, pressure
Online Estimating
Tg, viscosity,
degree of cure
Controlling temperature,
demoulding time etc.
Injection
machine
Verification of
the real-time
estimated Tg
8
Overview of the Tg estimated online
with the ORS software and Tg
measured right after demoulding by
DSC and the difference between them
for several isothermal and realistic test
cases which shows that
the Tg online estimation is
within the DSC accuracy
Trials and DSC performed by
How it works
9
High-Speed RTM
Press
RTM
Mould
Injection
machine
Wifi
In-mould sensor 10
HP-CRTM@ NCC UK
automotive applications
11
11
Sn.
1
12
The Recotrans project
13
Recotrans
Demonstrators
RAILWAY CEILING COVER
AUTOMOTIVE DOOR TRUCK SUSPENSION
14
14
Injectable resin (1Κ or 2K)
which polymerises in the mould
to Thermoplastic acrylic.
Suitable for:
• Infusion and RTM
• pultrusion
• SMC
• filament winding
High performance material
reinforced with continuous
glass or carbon fibers
The Elium resin
Resistance
advantage
15
15
Resistance (R), Resistance rate (dR) and temperature (T) histories for
case 3.3 (w/o mw) for sensor (a) with indicative demoulding options.
Cycle
time (s)
Speed-
up (%)
Current Cycle based
on Time
270 -
Optimal Demoulding
based on Temperature
215 20
Fastest Demoulding
based on Resistance
170 37
Automotive demonstrator
@IRT M2P
16
16
Low-pressure injection (max 10 bar) /
compression (max 90 bar) moulding
Thin hybrid preform from recycled
carbon fibres and continuous glass mats.
17
Nikos
Industrial trials
A robot is
loading the
press with
the preform
Opticure is
waiting for
injection
The press
opens
following the
command
from Opticure
after resin
achieved the
process
targets
Automotive demonstrator
Gestamp @IRT M2P
18
18
Process fluctuation
19
Nikos
New
Elium grade
Temperature and Resistance
measurements from the two sensors
Trials with different Elium grades (case 2: old grade, case 6: new grade)
Temperature measurements and
Tg estimations for the two sensors
Faster
Slower
Faster +
higher
Slower +
lower
Wrap-up &
Conclusions
20
20
✓ The online cure monitoring and quality control for high temperature epoxy
resins was applied and verified successfully in reactive thermoplastic
composites.
✓ The intelligent monitoring system is robust and can lead to significant speed-
up of production.
✓ The performance of the new CF sensors was remarkable besides the
existence of carbon fibres and no use of any additional protection.
✓ The resin MW preheating lead to limited benefits in the demonstrator.
✓ Communication and integration with PLC is straighforward
21
Recotrans project has received funding from the European Union’s Horizon 2020 research and innovation
programme under grant agreement No 768737.
This publication reflects only the author's view and that the Commission is not responsible for any use that
may be made of the information it contains.
Dr Nikos Pantelelis
Synthesites,
Brussels, Belgium
be@synthesites.com
Thank you!

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INTELLIGENT PROCESS MONITORING OF A COMPRESSION RTM REACTIVE THERMOPLASTIC AUTOMOTIVE DOOR

  • 1. ufac Intelligent Process Monitoring for Faster Production of Composite Parts Dr Nikos Pantelelis Synthesites Brussels, Belgium [email protected]
  • 2. Synthesites 2 World leader in intelligent process monitoring in Composites We are working with composites manufacturers for: • Reducing cycle time • Ensuring quality and traceability • Enhancing R&D performance • Achieving Industry 4.0 benefits
  • 3. Products and Services OptiMold system for monitoring resin cure, resin viscosity, mixing ratio quality and resin quality OptiFlow system for optimising mould filling, process automation and simple process control OptiSensors (durable/ disposable, flexible, outlet, custom) Real-time calculation of Tg/ degree of cure/ viscosity/ resin quality Automation, design and prototyping solutions 3
  • 4. optiflow Resin arrival and temperature ◼ 4 temperature and resin arrival sensors ◼ Electrical resistance-based measurements and RTD temperature sensing ◼ Continuous connection checking ◼ One relay output for process automation 4
  • 5. Real-time measuring of • Resin’s electrical resistance (from 0.1 MOhm up to 100 TOhm) • temperature (pt100 sensor with 0.1oC accuracy) Input of external signals e.g. pressure sensors Optimold Cure, viscosity, resin quality check 5 CF In-mould Durable Curved Durable
  • 6. 6 Nikos New Industrial system OptiCure system • A new User-Interface (HMI) for automatic operations • Up to 4 cure sensors • Industrial windows-based PC • Touch screen IP65 • Online Resin State software • Alarms • Several connectivity options including connection to PLC
  • 7. 7 Intelligent Process Control Intelligent Process control Temperature controller(s) Press controller Measuring resistivity, temperature, pressure Online Estimating Tg, viscosity, degree of cure Controlling temperature, demoulding time etc. Injection machine
  • 8. Verification of the real-time estimated Tg 8 Overview of the Tg estimated online with the ORS software and Tg measured right after demoulding by DSC and the difference between them for several isothermal and realistic test cases which shows that the Tg online estimation is within the DSC accuracy Trials and DSC performed by
  • 11. HP-CRTM@ NCC UK automotive applications 11 11 Sn. 1
  • 14. 14 14 Injectable resin (1Κ or 2K) which polymerises in the mould to Thermoplastic acrylic. Suitable for: • Infusion and RTM • pultrusion • SMC • filament winding High performance material reinforced with continuous glass or carbon fibers The Elium resin
  • 15. Resistance advantage 15 15 Resistance (R), Resistance rate (dR) and temperature (T) histories for case 3.3 (w/o mw) for sensor (a) with indicative demoulding options. Cycle time (s) Speed- up (%) Current Cycle based on Time 270 - Optimal Demoulding based on Temperature 215 20 Fastest Demoulding based on Resistance 170 37
  • 16. Automotive demonstrator @IRT M2P 16 16 Low-pressure injection (max 10 bar) / compression (max 90 bar) moulding Thin hybrid preform from recycled carbon fibres and continuous glass mats.
  • 17. 17 Nikos Industrial trials A robot is loading the press with the preform Opticure is waiting for injection The press opens following the command from Opticure after resin achieved the process targets
  • 18. Automotive demonstrator Gestamp @IRT M2P 18 18 Process fluctuation
  • 19. 19 Nikos New Elium grade Temperature and Resistance measurements from the two sensors Trials with different Elium grades (case 2: old grade, case 6: new grade) Temperature measurements and Tg estimations for the two sensors Faster Slower Faster + higher Slower + lower
  • 20. Wrap-up & Conclusions 20 20 ✓ The online cure monitoring and quality control for high temperature epoxy resins was applied and verified successfully in reactive thermoplastic composites. ✓ The intelligent monitoring system is robust and can lead to significant speed- up of production. ✓ The performance of the new CF sensors was remarkable besides the existence of carbon fibres and no use of any additional protection. ✓ The resin MW preheating lead to limited benefits in the demonstrator. ✓ Communication and integration with PLC is straighforward
  • 21. 21 Recotrans project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 768737. This publication reflects only the author's view and that the Commission is not responsible for any use that may be made of the information it contains. Dr Nikos Pantelelis Synthesites, Brussels, Belgium [email protected] Thank you!