Get certified in perfroming DIC experiements, enhance your professional credibility, prove your knowledge and skills, and enrich your reputation as a DIC practitioner
Learn the DIC fundamentals, specialize in new applications, or find out how DIC can revolutionize your product development
Join the largest and fastest growing network of engineers, technicians, experimentalists, researchers, academics, and product developers using DIC
Join a committee and help the society continue to grow and expand
Find software, discover new DIC-related research, or network with other DIC enthusiasts
Learn the fundamentals of setting up DIC experiments
Guidelines for conducting DIC measurements in conjunction with mechanical testing of a planar test piece
This guide is designed to be both a primer training document geared towards new practitioners of DIC (supplementing vendor-based documentation) as well as a reference for experienced users. The Good Practices Guide (GPG) focuses on measurement setup, image correlation, and basic post-processing of DIC data for strain computations.
The Founder’s Award within the International Digital Image Correlation Society (iDICs) is awarded to individuals who have made a pioneering contribution, either through a novel application of image correlation or development of methodologies that have significantly impacted the field. The Founder’s Award recipients for 2019 are Prof. Wolfgang Knauss and Dr. Guillaume Vendroux.
Published in three tightly coupled papers in Experimental Mechanics in 1998, their research studies included (a) construction of a novel high magnification scanning tunneling electron microscope (STEM) imaging system, (b) modification of image correlation algorithms to analyze the STEM images and © demonstration of the capabilities of the STEM system with image correlation to obtain deformation measurements. The work of the authors was so unique that it was more than a decade ahead of future image correlation applications using scanning electron microscope (SEM) images. In fact, publication of their contributions was exceedingly difficult due to the lack of reviewers with sufficient background to assess the breadth and depth of their contributions. Not only did the recipients construct a fully functional STEM system, but they also showed that the gradient algorithms used in image correlation matching could be simplified to speed up analyses without affecting accuracy of the results. Even today, over 20 years after their unique contributions were published, their first-ever studies remain a shining example of what motivated, outstanding investigators can achieve.
The purpose of the DIC challenge is to supply the image correlation community with a set of images for software testing and verification. This includes both commercial codes and university codes. All the information is freely disseminated at the DIC Challenge website and participation in the challenge is open to all.
Test images have been created both experimentally and synthetically. The DIC Challenge committee members will evaluate the results from each code and report them in a journal paper. Details of the creation of the images will also be recorded in a published paper so participants can understand how the images were created.
Digital image correlation is a non-contact means of measuring motion and deformation using digital images of the object of interest. It’s used for a wide variety of applications from characterizing material properties to identifying structural damage and quality testing in manufacturing.