Dr. Sergei Schurov, GF Machining Solutions
Machine tools remain the major vehicle driving technological progress today. This industry segment is highly influenced by rapid evolution in Industry 4.0 technologies, including machine connectivity, Internet of Things (IoT), manufacturing process simulation, production flow modelling, and cloud-based analytics for predictive maintenance.
Artificial intelligence and machine learning technologies have a special place in the industrial IoT. Driven by increasing manufacturing performance needs together with growing technology complexity on one side and the reducing base of skilled operators combined with shrinking product cycle times and time to market on the other, machine tool makers have to respond in a smart way to meet expectations in productivity gains. This expected change applies both to end users, such as machine operators and workshop managers, and to product development teams of machine tool builders.
As a major industrial player, GF Machining Solutions is at the forefront of integrating machine learning technologies into its products. In this presentation, Dr. Sergei Schurov discusses several applications of such algorithms to the GF Solutions portfolio and will explore the benefits and challenges of bringing them into new system designs while remaining competitive in the market.