Come meet the poster presenters to ask them questions and discuss their work
Check the programme for our poster viewing moments. For more details on each poster, click on the poster titles to read the abstract. On Wednesday, 6 April at 15:30-16:15, join us on Level 3 of the Conference area for the Poster Awards!
PO165: Acoustic Camera and Digital Image Correlation full field instrumentation: innovative applications and improved methodologies to validate and certificate large structural components in the industrial environment.
Amanda Chapron, Senior Mechanical Test Engineer, Applus Laboratories
In today's industrial world, it is increasingly necessary to obtain complete but reliable test data in order to validate and certify large mechanical structures. The study and adaptation of new metrology technologies is essential to improve the performance of laboratory tests and to obtain fast and better results. In this paper, we will present Applus research and methodologies adopted to improve the efficiency and accuracy of full-field and non-contact metrology for its application in large structures, such as wind turbine components. An example of such equipment is the acoustic camera. This is a non-contact, full-field technology that can identify, in a laboratory environment, the location of a source of damage in real time by detecting the noise caused by a delamination, crack opening or component failure in a composite structure. More importantly, it provides information on when, and therefore at what applied load, the damage started, evolved and finally failed. The Acoustic Camera is a tool that has long been used in the acoustic engineering industry and for maintenance purposes, but can be cleverly reused in an industrial structural testing laboratory, as a good example of technology transfer between sectors. Another core technology that we are currently investigating and which promises significant achievements is the enhancement of Digital Image Correlation (DIC), a non-contact full-field stress-strain technology. Primarily used as a qualitative assessment of the stress field in a loaded structure, we are investigating how to configure and post-process the acquired data to quantitatively assess the mechanical behavior of test specimens.