(IN BRIEF) Empa, SUPSI and Swiss machine manufacturer Bystronic have developed a self-guiding laser cutting method that uses cameras, microphones and machine learning to assess cut quality and adjust machine settings automatically. The project, supported by Innosuisse, addresses the challenge … Read the full press release →
Posted in Automotive, Business, Education, Electronics & Machinery, Industrial, Metals and Minerals, Science, Switzerland, Technology
Tagged 10 mm, 15 mm, 25 mm, 6 mm, acoustic monitoring, Acoustics, Andreas Lüdi, Anna Ettlin, automotive industry, autonomous adjustment, autumn 2026, burr formation, Bystronic, cameras, control algorithm, cut quality, cut-edge roughness, cutting machines, Elia Iseli, Empa, industrial automation, industrial lasers, industrial metal processing, Innosuisse, Innosuisse Project Uses Cameras and Microphones to Improve Metal Laser Cutting, Konstantinos Skovolas, laser beam cutting, laser cutting, Machine Learning, manufacturing efficiency, material thickness, metal cutting, microphones, molten metal, Multifunctional Materials and Interfaces laboratory, Naval Mehta, near-infrared wavelengths, New Acoustic Method Helps Laser Cutting Machines Assess Cut Quality, optical monitoring, plasma, precision cutting, process gas, Researchers Develop Machine Learning System for Autonomous Laser Cutting Adjustment, retrofit, Roland Richter, self-correction, self-guiding laser, steel plate, SUPSI, Switzerland, University of Applied Sciences and Arts of Southern Switzerland, vaporised metal
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