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Digital image correlation

About: Digital image correlation is a research topic. Over the lifetime, 7842 publications have been published within this topic receiving 132166 citations.


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Journal ArticleDOI
TL;DR: In this article, the authors present the analysis of the finite deformation response of a shape memory polymer (SMP) and the derivation of material parameters for a finite deformability phenomenological model, and the numerical implementation of such a model with comparisons to experimental data.
Abstract: This study presents the analysis of the finite deformation response of a shape memory polymer (SMP). This two-part paper addresses the thermomechanical characterization of SMPs, the derivation of material parameters for a finite deformation phenomenological model, the numerical implementation of such a model, and the predictions from the model with comparisons to experimental data. Part I of this work presents the thermomechanical characterization of the material behavior of a shape memory polymer. In this experimental investigation, the vision image correlation system, a visual–photographic apparatus, was used to measure displacements in the gauge area. A series of tensile tests, which included nominal values of the extension of 10%, 25%, 50%, and 100%, were performed on SMP specimens. The effects on the free recovery behavior of increasing the value of the applied deformation and temperature rate were considered. The stress–extension relationship was observed to be nonlinear for increasing values of the extension, and the shape recovery was observed to occur at higher temperatures upon increasing the temperature rate. The experimental results, aided by the advanced experimental apparatus, present components of the material behavior which are critical for the development and calibration of models to describe the response of SMPs.

42 citations

Journal ArticleDOI
TL;DR: In this paper, a slip trace analysis based on electron microscopy was used to provide statistical, accurate information of slip behavior in a weakly textured Ti-6Al-4V alloy with a plastic strain of ∼2%.

42 citations

Journal ArticleDOI
TL;DR: This paper describes a new open source DIC algorithm that incorporates cross-correlation quality factors (q-factors), which are specifically designed to assess the quality of the reconstructed displacement estimate during the motion reconstruction process, and shows that the incorporation of energy- and entropy-based q-factor metrics leads to substantially improved displacement predictions, lower noise floor, and reduced decorrelation.
Abstract: Digital image correlation (DIC) has become a widely utilized non-contact, full-field displacement measurement technique for obtaining accurate material kinematics. Despite the significant advances made to date, high resolution reconstruction of finite deformations for images with intrinsically low quality speckle patterns or poor signal-to-noise content has not been fully addressed. In particular, large image distortions imposed by materials undergoing finite deformations create significant challenges for most classical DIC approaches. To address this issue, this paper describes a new open source DIC algorithm (qDIC) that incorporates cross-correlation quality factors (q-factors), which are specifically designed to assess the quality of the reconstructed displacement estimate during the motion reconstruction process. A q-factor provides a robust assessment of the uniqueness and sharpness of the cross-correlation peak, and thus a quantitative estimate of the subset-based displacement measure per given image subset and level of applied deformation. We show that the incorporation of energy- and entropy-based q-factor metrics leads to substantially improved displacement predictions, lower noise floor, and reduced decorrelation even at significant levels of image distortion or poor speckle quality. Furthermore, we show that q-factors can be utilized as a quantitative metric for constructing a hybrid incremental-cumulative displacement correlation scheme for accurately resolving very large homogeneous and inhomogeneous deformations, even in the presence of significant image data loss.

42 citations

Journal ArticleDOI
Pin Wu1, Bret Stanford1, William Bowman1, A. Schwartz1, Peter Ifju1 
TL;DR: In this article, the motion of a rapidly actuated flapping membrane wing with a pair of low-speed stereo cameras and a triggered strobe light is captured with a novel method.
Abstract: This work has detailed a novel method for capturing the motion of a rapidly actuated flapping membrane wing with a pair of low-speed stereo cameras and a triggered strobe light. Techniques are further detailed for separating the rigid body kinematic motions from the structural deformation. This is expected to be a necessary step, as a rigid wing (or a flexible wing in vacuum) is not expected to generate sufficient lift and thrust loads. Indeed, inspection of deformation results from flapping in both air and vacuum reveals the passive trailing edge feathering for thrust generation only in the former case. Future work will expand on the results presented here with an expansive series of wing topologies (combinations of membrane skin and batten structures) and measurements of flight loads for correlation with wing deformation.

42 citations

Journal ArticleDOI
TL;DR: A new method to estimate arbitrary velocity fields from a time series of images acquired by a single camera, specialized to the decomposition of the velocity field over rectangular shaped (finite-element) bilinear shape functions.

42 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023582
20221,120
2021667
2020646
2019636
2018567