1 / 20

Digital Image Correlation

Digital Image Correlation. Janice Mochizuki University of Illinois, Urbana-Champaign CEE 498 Professor Dan Kuchma. Contents. Commercially available: Examples of Hardware/Software Do It Yourself: Finite Element Formulation Matlab Formulation. Correlated Solutions.

kipp
Download Presentation

Digital Image Correlation

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Digital Image Correlation Janice Mochizuki University of Illinois, Urbana-Champaign CEE 498 Professor Dan Kuchma

  2. Contents • Commercially available: • Examples of Hardware/Software • Do It Yourself: • Finite Element Formulation • Matlab Formulation

  3. Correlated Solutions • Company started in 1988 to commercialize DIC invented at the University of South Carolina • Uses white speckle correlation • Instruments can process real-time data at >50 Hz • Synchronizes with load data acquisition • Strain accuracy from 500 microstrain to 500% strain • Can use on specimens from 1mm=10 meters

  4. Vic-2D • Measures in-plane displacements and Lagrangian strain tensor • No calibration needed • No lasers required • Available for analog output • Current applications: • fracture mechanics • bi-axial tension tests • determination of strain location around cracks • FE model verification

  5. Vic-3D • Measures actual object movement and Lagrangian strain tensor at every point • Calibration needed for strain measurements • Add on modules available • Current applications: • fuselage panel testing • car crash testing • sheet metal forming • deformation measurement of tires at high speeds

  6. Vic-3D Vibration Analysis • Uses Videostroboscope add-on module • Measures all 3 displacement axes • Only added mass is from the speckle spray

  7. Vic-3D High Speed • Uses multi-channel ultra-high speed cameras • Acquires at 1000 to 100,000 frames/sec • Implements rotating mirrors, photo-multipliers, and fiber-optics • Requires calibration due to distortion • uses “distortion correction technology” • Example graphics: impact on plexiglass panel Shear Strain during impact Deformation after impact

  8. Costs Strain Overlay (Vic-3D) • Software only Vic-2D = $12, 000 • Complete Vic-2D system (software, cameras, tripod, lights) = $18,000-$22,000 • Complete Vic-3D system (includes set-up and training) = $50,000-$70,000 • Vibration add-on= additional $5,500 • High Speed Camera = additional $30,000-$200,000

  9. Dantec Dynamics • Q-400 (3D) • Specimens up to 400x300mm2 typical (claim to make special order for larger specimens) • Measures up to 100% strain and displacements 1/10- 1/100 of a pixel • Optional high speed camera for 500-10,000 frames/sec • More user input, needs calibration • Applications: • Material testing, fracture mechanics, dynamic measurements • $75,000-$95,000 (includes illumination, cameras, and software) Mapping of 3D displacement vector

  10. Dantec Dynamics • Q-450-II • High Speed Image Correlation for Vibration Analysis • More memory for camera=more time or fps recorded • 2 seconds at 1000 fps with 4GB • $105,000-$135,000 (no illumination) • Additional costs for illumination: • $4,000 for regular light source • $40,000-$50,000 for pulsed laser Membrane displacement graphic Out-of-plane deformation due to shock excitation

  11. Finite Element Formulation • Used to compute 2-D displacement field • Traditional Subset-based Image Correlation Method: (comparison) • Measures full-field displacements with subpixel accuracy from pictures by matching undeformed with deformed pictures • Uses least-squares algorithm to match the pictures Undeformed Deformed

  12. Finite Element Formulation • Element Based ICM • Discretizes image into segments and elements linked by nodes • Acquires nodal displacements by minimizing Least Square correlation coefficient between all the elements in undeformed and deformed • Displacements at a point in an element are functions of displacements of element nodes • Uses Q4 elements • Note: at the boundaries of test area, nodal displacements are higher since lack of adjoining elements to impose continuity constraints Deformed Undeformed

  13. Finite Element Formulation • Pros of FE: • FE satisfies requirements of displacement continuity and derivative continuity among elements • FE produces smaller, more accurate strain • Cons of FE: • Subset-based method produces smaller variations in displacement data

  14. Matlab Formulation • Code created by students at John Hopkins University in Kevin J. Hemker’s group • Created for others to build off of as an alternative to expensive commercial hardware/software • Available online at: http://www.mathworks.com/matlabcentral/files/12413/content/Correlation_Guide_2.htm

  15. Matlab Formulation • Pre-processing: • Save all photographs as .tif 8 bit greyscale format and number consecutively • Chose all pictures to compare in pop-up window • On base picture (undeformed) define a grid for the markers • Chose bounds of area to analyze • Tell program how many pixels you want between markers in x- and y-directions

  16. Matlab Formulation • Correlation: • Program runs through all images and markers • Initial picture has green markers • Plots red markers on second picture where displacement occurs • Then continues with all pictures in the same manner tracking the markers as it goes • Running the correlation takes about 200 seconds for 100 images with 200 markers

  17. Matlab Formulation • Post-Processing: • Must be knowledgeable about displacement fields and strains • Delete markers with bad results • Bad lighting • Physical movement out of ordinary • Not enough data found • Option to save .jpg of each picture step to make a movie!

  18. Matlab Formulation Example of 3D output graph Example output interface

  19. Sources • Dantec Dynamics: sales representative & http://www.dantecdynamics.com/Default.aspx?ID=24 • Correlated Solutions: sales representative & http://www.correlatedsolutions.com/index.php • Matlab: http://www.mathworks.com/matlabcentral/files/12413/content/Correlation_Guide_2.htm • Applied Optics: (Finite Element) http://ao.osa.org/DirectPDFAccess/8A9358ED-BDB9-137E-C444F5205BBAB4B1_86402.pdf?da=1&id=86402&seq=0&CFID=22809832&CFTOKEN=13034717

  20. Questions? Have a fun Spring Break!

More Related