ZDZW

Most quality control methods currently used for measuring the quality of manufacturing processes are still destructive, generating considerable amounts of waste and reducing productivity. In fact, this type of inspection service involves time-consuming rework stages and costly defect repairs, sometimes even leading to the rejection of entire batches. To address these challenges, non-destructive inspection (NDI) techniques have emerged to pave the way for waste reduction during manufacturing and quality control. However, current NDI technologies still have some limitations, such as high acquisition costs and complex technical and digital integration.

To overcome these limitations and achieve sustainable, defect-free manufacturing by optimizing product quality control and monitoring, ZDZW proposes to provide advanced inspection technologies compatible with digitally-enabled manufacturing processes. Specifically, ZDZW will leverage artificial intelligence techniques to create comprehensive solutions through machine learning and digital twins to enhance manufacturing.

Overall, ZDZW aims to offer a suite of digitally-enabled NDI services by creating three inspection suites for product integrity, visual properties, and thermal process monitoring, which will be validated across five different industrial sectors.

In particular, ITI’s involvement will focus on the development of surface and volumetric visual inspection techniques, among others.