olfatbakhsh
Artificial intelligence helps to make composite materials stronger, more reliable
UBCO professor Abbas Milani and doctoral student Tina Olfatbakhsh use X-ray computed tomography to capture high-resolution 3D images of composite materials to study their internal structure. Researchers at UBC Okanagan have come up with an easier way to examine the complex structure of fibres and multiscale materials, helping to ensure newly developed composites won't fail under excessive loads. Using materials informatics and machine learning, the team has uncovered a new way to analyze the effectiveness of state-of-the-art fabric composites used in aerospace, construction, automotive and sports industries. The complex structures and configurations of these composites--while making them more durable and functional--are challenging to analyze, explains Dr. Abas Milani, a Professor in UBC Okanagan's School of Engineering and founding Director of the Materials and Manufacturing Research Institute. Fabric composites are interwoven materials that provide a lightweight, stronger and often more formable alternative to simpler one-dimensional composite materials, he explains.