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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.
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
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
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
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
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
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
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
Metre scale machine
www.hexagonmi.com
Virtual Metrology Frames in CIM-UP
9Jonathan Abir
j.h.abir@cranfield.ac.uk
James Norman
j.p.norman@cranfield.ac.uk
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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

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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
  • 9. Metre scale machine www.hexagonmi.com Virtual Metrology Frames in CIM-UP 9Jonathan 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