Präzisions-LDS

In the joint project 'Precision LDS', we are proposing the use of thermally sprayed surfaces for offshore wind turbines in order to reduce manufacturing and operating costs and increase turbine performance. However, in order for TS processes to be used in the offshore industry, a number of process engineering challenges must first be solved. These include semi-automated and AI-monitored control of the entire coating process as well as information technology processes for quality recording. In the 'Database and AI development' sub-project, FURTHRresearch and the Philipps University of Marburg (UMR) are therefore developing an AI-controlled system that monitors, documents and provides control technology support for the entire TS process chain, from wire production and pre-treatment of the materials through to the actual coating process. The results from the coating process are then automatically examined and evaluated by the system and used for process validation. To enable the analyses described, the entire TS process chain is expanded to include a large number of sensors and all data generated in the process is bundled in a central database. The AI system set up on the database then fulfils three central tasks, which are solved by UMR in this sub-project: intelligent parameterization, intelligent process monitoring and intelligent result evaluation.