Core concepts and considerations for accurate DIC measurements. Topics include selecting appropriate subset sizes, step sizes, and strain filters; understanding projection error and strain tensor formulations; avoiding pitfalls when averaging angular data; validating DIC results against strain gauges; and optimizing hardware setup through proper lens selection and stereo angle configuration.
In analysis, edge data can seem to be missing. This is due to analysis parameters and calculation methods. We have one data point for every subset. We report the data in the center of the subset. For ...
Using DIC (digital image correlation) to measure cracking surfaces or breaking specimens can be a difficult task. The attached application note discusses some realities that must be considered when us...
Generally speaking, there are not many rules to setting up cameras, such as the stereo angle between cameras and lens selection because the calibration calculates all the parameters, such as stereo an...
INTERPRETING 3D DIC DATA Why does my strain or displacement data not match theory or other measuring techniques? INTRODUCTION Digital Image Correlation (DIC) data is often used as a validation meth...
INTERPRETING 2D DIC DATA Why does my strain or displacement data not match theory or other measuring techniques? INTRODUCTION Digital Image Correlation (DIC) data is often used as a validation method,...
Summary and Overview Here we will discuss subset size, step size and strain filter selection. In short, you want your subset to be larger than your speckle sizes and for most applications your step s...
In digital image correlation, the quality of the data is often dependent on the quality of the speckle pattern. Using an optimal speckle pattern is one of the most important factors in reducing measu...
System Specs Many things in our test set-up can affect our noise and resolution, but with a good setup, the following rules of thumb can be applied to estimate what type of noise and resolution you ca...
Introduction When running a correlation in Vic-3D, one of the values given for each image is the Projection error. This article will explain how the projection error is calculated and what can cause a...
In Vic-2D and Vic-3D, some of the inspector tools will cause data to be averaged over a certain area - specifically, the Disc and Rectangle tools. With these tools, when the data is extracted, the res...