Combining artificial intelligence with high-power thin disk multipass laser amplifiers to improve optical performance, flexibility, monitoring, maintenance, reliability and safety
High-power laser radiation has revolutionized industrial production. A thin disk multipass laser amplifier, due to its great flexibility, is very well suited for amplifying laser radiations ranging from ultrashort pulsed to continuous-wave operation modes. During the last decade, output powers exceeding one kilowatt were reported in the literature.
The high flexibility and adaptability of such systems requires the setting of many variables which often have a major influence on the stability, performance and safety of the system. A good knowledge of the amplifier system as well as its operation by an expert are therefore necessary for a safe use.
The aim of this project is to automatically detect misalignments and sources of errors in the system by implementing an automated monitoring scheme. With the help of this observation data, conclusions are to be drawn about actions in order to counteract the causes and thus ensure a more stable, efficient and safe operation of such a system. Furthermore, artificial intelligence will be used to interpret the monitoring data in real time.
Automated monitoring of the status and misalignment of the amplifier system in real time
Integration of various sensors and optical imaging systems for this purpose
Development of a concept and implementation for computer-assisted evaluation of the sensor data as input values for interpretation by artificial intelligence
Generation of data and training of artificial intelligence based on data from simulation tools
Validation of the predictions of the AI model using experimental data on the real system
Added value for users: Increased user-friendliness, safety and high-performance of thin disk multipass laser amplifiers
Added value for research: Real-time observation data can provide new insights into the dynamics of such thin disk multipass laser amplifiers.
Research Coordinator "Software-System-Architectures"