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Improving DIC Accuracy in Experimental Setups
Author(s) -
Reis Martin,
Adorna Marcel,
Jiroušek Ondřej,
Jung Anne
Publication year - 2019
Publication title -
advanced engineering materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.938
H-Index - 114
eISSN - 1527-2648
pISSN - 1438-1656
DOI - 10.1002/adem.201900092
Subject(s) - digital image correlation , measure (data warehouse) , usability , bending , displacement (psychology) , software , materials science , noise (video) , computer science , acoustics , image (mathematics) , computer vision , composite material , psychology , physics , human–computer interaction , database , psychotherapist , programming language
Digital image correlation (DIC) is a common software tool to measure displacement and strain fields on the surface of a specimen during mechanical testing. Due to its low requirements on the experimental setup and the simple usability it is widely spread in the community of applied mechanics. Nevertheless, the real noise of the method often stays uninvestigated. Therefore, this work shows different approaches to measure errors in DIC. The present contribution proves lighting as the main error source and it shows that a series of static images allows to estimate the error level of the DIC before performing the experiment. To give a proof of concept of the improved DIC setup, three‐point bending tests on single struts of aluminum foam are performed and evaluated.