Skip to main content

Optical 3D Deformation and Strain Measurement

  • Conference paper
  • First Online:
Book cover Pumps and Pipes

Abstract

3D Image correlation technology has been widely used for the analysis of a broad range of materials ranging from biomechanics measurements of tissues, organs, ligaments and bones to microelectronics, automotive and aerospace applications. Manufacturing optical measurement systems for digitizing, forming analysis and materials analysis has become a part of advanced process chains for the development of products and production processes allowing data to be linked and automatically uploaded to quality control systems for precision lean operations.

ExxonMobil was an early adopter of the 3D Image Correlation technology for full-field deformation and strain studies of their piping systems and pipeline welding. This same technology has been widely used for the analysis of a broad range of materials ranging from biomechanics measurements of tissues, organs, ligaments and bones to microelectronics, automotive and aerospace applications. Because of its accurate and full-field nature, it is the best tool for computer model validation and iteration. As an example, the high speed ARAMIS 3D Image Correlation ­system was chosen by NASA for the Return-to-Flight of the Space Shuttle LS-DYNA model validations (Tyson et al. Performance verification of 3D image correlation using digital high-speed cameras. Proceedings of 2005 SEM Annual Conference and Exposition; 2005 June 7–9, Portland, OR, 2005). A related system monitors quality at Ford stamping plants and automatically downloads comparisons to finite element model (FEM) data of real line parts directly into the Ford Quality Control System (Tyson and Psilopoulos, Automated quality control of stamping with optical methods. International auto body congress, Troy, MI, 2009).

Image Correlation (DIC) has greatly benefited from the explosive growth of computer power and digital camera technology. We used to perform full-field optical measurements with laser holography (ESPI). ARAMIS has replaced most of this technology with its simple method of stereo imaging, which uses a pair of video cameras, like our eyes, to measure materials and structures in 3D space, but quantitatively down to the micron-scale world (Tyson et al. 3D Image correlation for dynamic and extreme environment materials measurements holistic structure measurements from the ­laboratory to the field. SEM 2005 Conference Proceedings, Portland, OR, 2005). The materials that this measures are any solid materials. Deformation and strain are material independent, so it works well for ceramics to thin films. Fields-of-view are solely optics dependant, so the technology is capable of performing measurements from 100 m (wind turbines & bridges) (Schmidt Paulsen et al. 2009) to sub-micron volumes (crystalline structures) (Kang J. 2007 Microscopic strain mapping based on digital image correlation). Since ARAMIS measures with 10,000 measurement points, it’s like having a finite element program for real testing, which compares directly to finite element analysis (FEA) models. Advances in high-speed cameras have allowed the technology to measure high-speed events from impact, ballistic and blast to split-Hopkinson bar and shock, up to 1 M frames/s (fps) (Tyson et al. 3D image correlation studies of geometry and material property effects during split hopkinson bar experiments. SEM 2008 Conference, 2008).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Ajovalasit A, Mancuso A, Cipolla N (2002) Strain measurement on composites: errors due to rosette misalignment. Strain 38:150–156

    Article  Google Scholar 

  2. (2009) ARAMIS System Manual, version 6.1, GOM, Mittelweg 7–8, 38106 Braunschweig, Germany

    Google Scholar 

  3. Avitabile P, Niezrecki C, Helfrick M, Warren C, Pingle P (Jan 2010) Noncantact measurement techniques for model correlation. Sound Vib

    Google Scholar 

  4. Coate J, Bailey J, Tashiro R (Dec 2008) Evaluating the B-2 Aft deck measured response to the external environment. Aircraft Structural Integrity Program (ASIP) proceedings

    Google Scholar 

  5. Florando JN, Lassila DH (2006) Calculation of the slip system activity in deformed zinc single crystals using digital 3-D image correlation data.

    Google Scholar 

  6. Florando JN, Lassila DH (April 2006) Studying the behavior of crystal deformation. Sci Technol Rev, 18–19

    Google Scholar 

  7. Galanulis K (May 2005) Optical measuring technologies in sheet metal processing

    Google Scholar 

  8. Hibbitt, Karlsson and Lorensen, Inc. ABAQUS-Theory manual, 5.7 edition

    Google Scholar 

  9. Kang J (2007) Microscopic strain mapping based on digital image correlation

    Google Scholar 

  10. Keller S, Hotz W, Friebe H (July 2009) Yield curve determination using bulge test combined with optical measurement. IDDRG conference proceedings

    Google Scholar 

  11. LeBlanc MM, Florando JN, Lassila DH, Tyson J, Schmidt T (2006) Image correlation applied to single crystal plasticity experiments and comparison to strain gage data. Exp Tech 30(4):33

    Article  Google Scholar 

  12. Park SB (2008) Report: comparison of warpage measurement methods and errors in shadow Moiré

    Google Scholar 

  13. Schmidt Paulsen U, Schmidt T, Erne O (Sept 2009) Developments in large wind turbine modal analysis using point tracking videogrammetry

    Google Scholar 

  14. Sztefek P et al (Oct 2009) Using digital image correlation to determine bone surface strains during loading and after adaptation of the mouse tibia. J Biomech

    Google Scholar 

  15. Tyson J, Galanulis K (2010) Optical measurements for modern design, manufacturing and test

    Google Scholar 

  16. Tyson J, Psilopoulos J (Nov 4, 2009) Automated quality control of stamping with optical methods. International auto body congress, Troy, MI

    Google Scholar 

  17. Tyson J, Schmidt T, Coe D, Galanulis K (June 2005) 3D Image correlation for dynamic and extreme environment materials measurements holistic structure measurements from the ­laboratory to the field. SEM 2005 Conference Proceedings, Portland, OR

    Google Scholar 

  18. Tyson J, Schmidt T, Galanulis K (2003) Full-field dynamic displacement and strain measurement using advanced 3D image correlation photogrammetry. Experimental techniques, Part I: May/June 2003, 27(3):47–50. Part II: July/Aug 2003, 27(4):44–7

    Google Scholar 

  19. Tyson J, Schmidt T, Galanulis K (Nov 2003) Smart biomechanics strain measurements using 3D image correlation photogrammetry. Biophotonics

    Google Scholar 

  20. Tyson J, Schmidt T, Galanulis K, Coe D (April 2006) Validation and iteration of computer models using full-field optical methods

    Google Scholar 

  21. Tyson J, Schmidt T, Gilat A, Walker A, Seidt J (2008) 3D image correlation studies of geometry and material property effects during split hopkinson bar experiments. SEM 2008 Conference

    Google Scholar 

  22. Tyson J, Schmidt T, Lee M, Pecht M (Nov 2003) Application of 3D measurement system with CCD camera in microelectronics. Adv Packag

    Google Scholar 

  23. Tyson J, Schmidt T, Revilock Jr DM, Padula II S, Pereira JM, Melis M, Lyle K (June 2005) Performance verification of 3D image correlation using digital high-speed cameras. Proceedings of 2005 SEM Annual Conference and Exposition; 7–9, Portland, OR

    Google Scholar 

  24. Woodard N, Johnson E, Demers J, Chen C, Nielsen J, Logan T (Aug 2008) Low-cost electrical resistance spot welding technique for micro-optical component mounting with sub-micron tolerance

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to John Tyson II .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer Science+Business Media, LLC

About this paper

Cite this paper

Tyson, J. (2011). Optical 3D Deformation and Strain Measurement. In: Davies, M., Lumsden, A., Kline, W., Kakadiaris, I. (eds) Pumps and Pipes. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-6012-2_13

Download citation

  • DOI: https://doi.org/10.1007/978-1-4419-6012-2_13

  • Published:

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-6011-5

  • Online ISBN: 978-1-4419-6012-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics