Using deep learning to classify steel materials objectively
Using deep learning to classify steel materials objectively
Dr Ali Riza Durmaz of Fraunhofer IWM. The web application developed by him and his team visualises the results (source: Kai Wudtke)
Rolling bearings are installed wherever something is in rotation. The wide range of applications extends from large wind turbines to small electric toothbrushes. These bearings, which consist of steel components, must be carefully selected and tested with regard to their quality and the application in question. The grain size has a crucial effect on the mechanical properties of the steel.