journal article·2022-10

Using text as a native speckle pattern in digital image correlation

Weston D Craig, Fiona B Van Leeuwen, Steven R Jarrett, Robert S Hansen, Ryan B Berke

Publisher page

Abstract

In certain applications, native surface patterns can be used in place of speckle patterns in digital image correlation (DIC). This paper explores the feasibility of using text as a native speckle pattern in DIC. Five text speckle patterns are tested in three different scenarios: a rigid body translation test, a rigid body rotation test, and an out of plane bending test. The patterns are benchmarked against a sixth, random speckle pattern applied using traditional DIC speckling methods. Rigid body translation tests are additionally performed on text patterns with varying font types and line spacings. In general, text patterns have good contrast, but low density as line spacing increases. Measurement uncertainty for the text patterns was comparable to measurement uncertainty in the random speckle pattern. Results from these tests show that while text patterns cannot be expected to perform better than a traditional DIC speckle pattern, text patterns can be effective speckle patterns in situations where already present on a specimen and applying a traditional speckle pattern is difficult.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Optical measurement and interference techniques · Surface Roughness and Optical Measurements · Industrial Vision Systems and Defect Detection

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Mechanical and Aerospace Engineering, Utah State University, Logan, UT, USA

Funding

Utah State University

References (43)

Show source-provided references
1. Sutton MA · 2009
2. 10.1007/s11340-016-0245-z10.1007/s11340-016-0245-z ↗
3. 10.1007/s11340-010-9402-y10.1007/s11340-010-9402-y ↗
4. 10.1115/1.403133210.1115/1.4031332 ↗
5. Gradl PR
6. Simonsen Vic-3D-v7-Manual.pdf, http://www.correlatedsolutions.com/supportcontent/Vic-3D-v7-Manual.pdf (accessed 23 February 2020).
7. 10.1016/j.bone.2015.09.00710.1016/j.bone.2015.09.007 ↗
8. Field KG, Gussev MN, Hu X, et al. First annual progress report on radiation tolerance of controlled fusion welds in high temperature oxidation resistant FeCrAl alloys. 56. https://info.ornl.gov/sites/publications/Files/Pub60559.pdf
9. 10.1016/j.optlaseng.2019.10594210.1016/j.optlaseng.2019.105942 ↗
10. 10.1016/j.jnucmat.2020.15272910.1016/j.jnucmat.2020.152729 ↗
11. Jones EM. Guide iDICs, http://www.idics.org/guide/ (accessed 23 February 2020).
12. 10.1111/ext.1212610.1111/ext.12126 ↗
13. 10.1007/s11340-017-0283-110.1007/s11340-017-0283-1 ↗
14. Reu P. · Exp Tech · 2014 · 38 · 1
15. 10.1111/ext.1212610.1111/ext.12126 ↗
16. Thai T. Importance of exposure time on digital image correlation (DIC) at extreme temperatures. Grad Theses Diss, 2018. https://digitalcommons.usu.edu/etd/7067
17. 10.1007/978-3-319-06977-7_1610.1007/978-3-319-06977-7_16 ↗
18. 10.1063/1.487199110.1063/1.4871991 ↗
19. 10.1063/1.508189910.1063/1.5081899 ↗
20. 10.1007/s11340-015-0092-310.1007/s11340-015-0092-3 ↗
21. 10.1007/s11340-018-0394-310.1007/s11340-018-0394-3 ↗
22. Kammers A, Daly S. Experimental investigation of deformation mechanisms present in ultrafine-grained metals. SpringerLink, https://link.springer.com/chapter/10.1007/978-1-4614-0210-7_15 (accessed 19 February 2020).
23. 10.1007/s11340-006-5869-y10.1007/s11340-006-5869-y ↗
24. 10.1007/s11661-013-1805-910.1007/s11661-013-1805-9 ↗
25. Sanchez-Arevalo FM, Pulos G. Use of digital image correlation to determine the mechanical behavior of materials. ScienceDirect. https://www.sciencedirect.com/science/article/pii/S1044580308000636 (accessed 23 February 2020).
26. 10.1002/jgrb.5006510.1002/jgrb.50065 ↗
27. 10.1111/str.1209010.1111/str.12090 ↗
28. 10.1117/1.218210810.1117/1.2182108 ↗
29. 10.1016/j.optlaseng.2016.04.01910.1016/j.optlaseng.2016.04.019 ↗
30. 10.1016/S0167-6636(02)00271-510.1016/S0167-6636(02)00271-5 ↗
31. 10.1002/adem.20170010210.1002/adem.201700102 ↗
32. 10.1016/j.jeurceramsoc.2012.09.01110.1016/j.jeurceramsoc.2012.09.011 ↗
33. 10.1016/j.optlaseng.2015.06.00310.1016/j.optlaseng.2015.06.003 ↗
34. Rhead M · 286
35. Yang J · 1889
36. Jacobs C · 2 · 695
37. Dutta S · 130
38. 10.1016/j.optlaseng.2009.08.01010.1016/j.optlaseng.2009.08.010 ↗
39. 10.1111/ext.1212610.1111/ext.12126 ↗
40. Boresi AP · 2003
41. Goodno BJ · 2018
42. 10.1007/s11837-012-0482-210.1007/s11837-012-0482-2 ↗
43. Bacca JP · 1990