Prof. Bianca Maria Colosimo
Politecnico di Milano, IT
Complex data as the new normal in precision engineering: opportunities and challenges
Precision engineering is facing a new renaissance, due to the widespread adoption of emerging process technologies (e.g., additive manufacturing, micromanufacturing) combined with paradigm shifts in metrology (e.g., X-ray CT), sensing and computing (e.g., Industry 4.0 and big data mining).
A new generation of massive, highly unstructured, multi-sensor, spatially and temporally correlated data represent the “new normal”, i.e., the basic ground to develop novel solutions for quality inspection, monitoring and control.
Two main dimensions of data complexity will specifically be discussed in this keynote: i) data describing product quality, where freeform, topologically optimized shapes and lattice structures have to be modelled, monitored and inspected; ii) process data, available as multiple streams of signals, images and video-images, that have to be modelled and monitored to prevent and possibly correct flaws. Starting from real industrial scenarios, opportunities and challenges of complex data mining will be discussed to highlight directions for future research.