Digital Transformation of Industrial Deposition Processes
Industrial deposition processes are subject to strong competitive pressure, as better productivity is always demanded with a higher precision and increasing complexity of coating products. This increased complexity requires optimized coating processes, model-based process control and a view of the complete process chain. Therefore, a digital transformation, which will be one of the key drivers in the future for industrial deposition processes, is needed. The digital transformation includes the systematic collection of data which is generated in the different processes and the representation of the (coating) processes by means of real-time capable, digital twin.
Already nowadays, the simulation, which can be part of digital twin, is a well-established tool for predicting and optimizing deposition processes. It is possible to use physical and/or chemical models to predict the behavior of the process.
Another approach of predicting processes is the use of generated data and utilize the artificial intelligence. Therefore, the data acquisition, storage, and accessibility of the data plays an important role. Artificial intelligence is already deployed for example in image recognition, predictive maintenance, and process control. This session will cover all topics in which digitalization plays an important role. It will bring the experts for simulation and artificial intelligence together and offers a perfect floor to discuss the benefits of the digital transformation of industrial deposition processes from point of view of different technology fields.
Digital Transformation of Industrial Deposition Processes Session Organizers: Holger Gerdes, Fraunhofer-IST, firstname.lastname@example.org; Andreas Pflug, Fraunhofer-IST, email@example.com