Abstract

Mechanical indentation testing is a widely used technique for determining local mechanical properties of materials. Accurate measurement of internal deformation in the indentation test is necessary for further study of material properties. Therefore, an in situ experimental measurement strategy combining micro-CT imaging and self-adaptive digital volume correlation (SA-DVC) is proposed. Unlike conventional DVC, SA-DVC can automatically identify the optimal subvolume size for each calculation point, which can effectively minimize measurement errors. The efficacy of the proposed method is first verified by the simulated indentation experiment. Then, it is used to analyze the deformation of epoxy resin composite in a real indentation experiment. Measurement results indicate that the proposed method can estimate three-dimensional displacement and strain fields with enhanced accuracy, and further application of the obtained measurement results on material parameter identification and stress field reconstruction is expected.

© 2022 Optica Publishing Group

Accurate and efficient internal deformation measurement of multiphase/porous materials via segmentation-aided digital volume correlation

Bo Wang, Xiang Zou, and Bing Pan
Appl. Opt. 61(6) C1-C12 (2022)

Digital volume correlation using a spherical shell template and cubic element for large rotation measurement

Xiaochuan Zhang, Ge Yang, Jingchen Ye, Rui Li, and Peng Yang
Appl. Opt. 59(35) 11123-11129 (2020)

Optical coherence elastography based on inverse compositional Gauss-Newton digital volume correlation with second-order shape function

Hao Wu, Jiaqiu Wang, Jorge Alberto Amaya Catano, Cuiru Sun, and Zhiyong Li
Opt. Express 30(23) 41954-41968 (2022)

Measurement of pile-up around spherical indentation by image-plane digital holography

Matias R. Viotti and Armando G. Albertazzi
Appl. Opt. 56(29) 8092-8099 (2017)

Accurate ex situ deformation measurement using an ultra-stable two-dimensional digital image correlation system

Bing Pan, Liping Yu, and Dafang Wu
Appl. Opt. 53(19) 4216-4227 (2014)