The Role of Lock-in Thermography in Non-destructive Testing of Steel Structures
Jonathan Abir and James Norman - Cranfield University
1. From meso scale to metre scale:
developments in metrology frame
technologies
Jonathan Abir & James Norman
Jonathan Abir
j.h.abir@cranfield.ac.uk
James Norman
j.p.norman@cranfield.ac.uk
1
Paul Morantz
Stefano Longo
Paul Shore
Xavier Tonnellier
Paul Morantz
Future Challenges of Instrumentation and Control in Ultra Precision Manufacturing - 18 May 2016 at Renishaw plc. Organised by the EPSRC Centre for Innovative Manufacturing in Ultra Precision, Cranfield University.
2. Machine frame
There are two primary functions for a machine frame:
• Transferring forces
• Position reference – metrology frame
There are two primary disturbances distorting position measurement and control:
• Processing and servo forces >1 Hz
• Thermal forces <<1 Hz
Machine tools and measurement systems alike require precision positioning
capability to enable:
• Accurate production of components
• Low uncertainty measurement for verification of components
2Jonathan Abir
j.h.abir@cranfield.ac.uk
James Norman
j.p.norman@cranfield.ac.uk
3. Machine frame concepts reducing
processing disturbances
Conventional
X
F Carriage
Frame
X
F Carriage
Force frame
Metrology frame
Metrology frame
X
F Carriage
Frame
BM
Balancing Mass
3Jonathan Abir
j.h.abir@cranfield.ac.uk
James Norman
j.p.norman@cranfield.ac.uk
4. Machine frame concepts reducing
thermal disturbances
X
F Carriage
Force frame
Metrology frame
Metrology frame
4
Model based compensation technique
1 0
1 0
( )
m
m
n
n
b s b s b
G s
a s a s a
Jonathan Abir
j.h.abir@cranfield.ac.uk
James Norman
j.p.norman@cranfield.ac.uk
5. 5
Metrology frame in a machine tool
OAGM 2500 - Off Axis Grinding Machine
Glass reference bars
www.cranfieldprecision.comShore P. et al. Big OptiX ultra precision grinding/measuring system. 2005.
Jonathan Abir
j.h.abir@cranfield.ac.uk
James Norman
j.p.norman@cranfield.ac.uk
6. 6
Metrology frame in a CMM
PTB µCMM ~ 250 nm surface measurement uncertainty
Küng A. et al. Ultraprecision micro-CMM using a low force 3D touch probe, 2007.
Jonathan Abir
j.h.abir@cranfield.ac.uk
James Norman
j.p.norman@cranfield.ac.uk
7. Virtual Metrology Frame Idea
Virtual Metrology Frame
F Carriage
Frame
7
XX
Jonathan Abir
j.h.abir@cranfield.ac.uk
James Norman
j.p.norman@cranfield.ac.uk
8. The advantages of Virtual Metrology Frame
• Enhance machine performance with minimal interference
8
Meso scale
machine
Metre scale machine
• Optimal solution
Expandable measurement volume with no extra cost
Limited machine size
Limited machine cost
Jonathan Abir
j.h.abir@cranfield.ac.uk
James Norman
j.p.norman@cranfield.ac.uk
10. www.eso.org
European Extremely Large Telescope
http://www.jwst.nasa.gov/
James Webb Space Telescope
Off-axis ellipsoidal:
•Non-specular after grinding
•Manufacture difficult
•Metrology is complex
Metrology for large optics
10Jonathan Abir
j.h.abir@cranfield.ac.uk
James Norman
j.p.norman@cranfield.ac.uk
~ 1.5 m
11. 11
Metrology Frame for large CMM
• Research aim: To realise a method for low uncertainty probe
positioning within large measurement systems.
hexagonmetrology.co.uk/Leitz-Infinity G. N. Peggs, et al. Design for a Compact High-
Accuracy CMM. 1999.
Jonathan Abir
j.h.abir@cranfield.ac.uk
James Norman
j.p.norman@cranfield.ac.uk
± 50 nm over 50 mm3
12. Virtual Metrology Frame - Multilateration
Unknowns
12
Camboulives M. et al.. Calibration of a 3D working space by multilateration. 2016
Jonathan Abir
j.h.abir@cranfield.ac.uk
James Norman
j.p.norman@cranfield.ac.uk
13. Virtual Metrology Frame - Multilateration
10 x 4 sets of equations with 40 unknowns → solvable
No. of retro-reflector positions
No. of interferometer positions
13Jonathan Abir
j.h.abir@cranfield.ac.uk
James Norman
j.p.norman@cranfield.ac.uk
14. 14
Probe position measurement
Laser interferometry multilaterationStylus tip on CMM
Jonathan Abir
j.h.abir@cranfield.ac.uk
James Norman
j.p.norman@cranfield.ac.uk
15. Stylus tip on CMM
Replace stylus tip
Retro-reflector
15
Probe position measurement
Jonathan Abir
j.h.abir@cranfield.ac.uk
James Norman
j.p.norman@cranfield.ac.uk
16. Potentially a trade-off between cost (£) and measurement uncertainty (σ)
LaserTRACER multilateration ~ 400 nm coordinate measurement uncertainty (1 m3)
Enable traceable coordinate measurement of tip centre via HeNe wavelength
16
Coordinate measurement - multilateration
Jonathan Abir
j.h.abir@cranfield.ac.uk
James Norman
j.p.norman@cranfield.ac.uk
17. System uncertainty assessment
ISO Type B: Monte Carlo style based on analytical model
ISO Type A: Build system and assess via measurement of an artefact
(Fizeau interferometric measured optic)
1717
Further work
R. Jourdain. e al. Design and characterization of an optical test system for metre–scale optics. 2013.
Jonathan Abir
j.h.abir@cranfield.ac.uk
James Norman
j.p.norman@cranfield.ac.uk
18. 18
Meso scale machine
Virtual Metrology Frames in CIM-UP
Jonathan Abir
j.h.abir@cranfield.ac.uk
James Norman
j.p.norman@cranfield.ac.uk
19. Meso scale machine with Virtual Metrology
Frame
• Research aim: Improve the dynamic performance of a compact
size CNC machine
0.6m 0.6m
1m
Slave side guideway
Master side guideway
Carriage
Encoder
491mm
609mm
215mm
19Jonathan Abir
j.h.abir@cranfield.ac.uk
James Norman
j.p.norman@cranfield.ac.uk
20. Virtual Metrology Frame concept in a
meso scale CNC machine
Xc
F
Frame
Xvmf Xf
Xc – Xf = Xvmf
20Jonathan Abir
j.h.abir@cranfield.ac.uk
James Norman
j.p.norman@cranfield.ac.uk
21. Virtual Metrology Frame concept in a
meso scale CNC machine - controller
C P+
Frame
displacement
sensor
Encoder
Xc
Xf
Xvmf
eXset
+
Controller
21Jonathan Abir
j.h.abir@cranfield.ac.uk
James Norman
j.p.norman@cranfield.ac.uk
22. Requirements of frame displacement sensor
• No reference point – “virtual metrology frame”
• Low delay
• Low noise – compared to the encoder
2
( ) ( )a t dt d t
• Measure dynamic displacement of machine frame
22Jonathan Abir
j.h.abir@cranfield.ac.uk
James Norman
j.p.norman@cranfield.ac.uk
23. 2
0
2 0
[ ( ) ] ( ) ...
2
a t dt d t
a
a t
Signal processing design of frame
displacement sensor
Attenuating Double integrating
23Jonathan Abir
j.h.abir@cranfield.ac.uk
James Norman
j.p.norman@cranfield.ac.uk
24. Results of plant transfer function
Flexible frame
( )
( )
( )
X s
P s
F s
24Jonathan Abir
j.h.abir@cranfield.ac.uk
James Norman
j.p.norman@cranfield.ac.uk
25. Results of open loop transfer function
fs – Servo bandwidth
φm – Phase margin >45º
40% improvement to servo bandwidth
Flexible frame
Gm – Gain margin >6dB
Notch filter @ 195Hz
25Jonathan Abir
j.h.abir@cranfield.ac.uk
James Norman
j.p.norman@cranfield.ac.uk
26. Summary of Virtual Metrology Frame
in a meso scale CNC machine
The virtual metrology frame concept was realised in a meso scale CNC
machine:
Improvement to the servo bandwidth by 40%
A simple PID control structure
Robust solution
26Jonathan Abir
j.h.abir@cranfield.ac.uk
James Norman
j.p.norman@cranfield.ac.uk
27. The advantages of Virtual Metrology Frame
• Enhance machine performance with minimal interference– metre & meso scale
• Optimal solution
Expandable measurement volume with no extra cost – metre scale
Limited machine size – meso scale
Limited machine cost – meso scale
27
Meso scale
machine
Metre scale machine
Jonathan Abir
j.h.abir@cranfield.ac.uk
James Norman
j.p.norman@cranfield.ac.uk