Machine Learning Simplifies Industrial Laser Processes for Metals

Machine learning simplifies industrial laser processes

Laser-based metal processing enables the automated and precise production of complex components, whether for the automotive industry or for medicine. However, conventional methods require time- and resource-consuming preparations. Researchers are now using machine learning to make laser processes more precise, more cost-effective and more efficient.

Machine learning simplifies industrial laser processes for metals

Laser-based processes for metals are considered to be particularly versatile in industry. Lasers can be used, for example, to precision-weld components together or produce more complex parts using 3D printing—quickly, precisely and automatically. This is why laser processes are used in numerous sectors, such as the automotive and aviation industries, where maximum precision is required, or in medical technology, for example for the production of…

Empa researchers Giulio Masinelli (left) and Chang Rajani want to make laser-based processes for metal processing more accessible. — © Empa DMZ – SCIENCE ¦ MM ¦ AA ¦ Thun – Laser technology is considered to be precise, flexible and efficient in industrial manufacturing – especially in sectors such as aerospace, automotive and medical technology. However, laser-based processes so far required complex preliminary tests to achieve the necessary acc…

Smarter industrial lasers: Machine learning revolutionises industrial metal processing

Industrial laser processes, vital for precise manufacturing, are being revolutionised by machine learning. This innovation promises to simplify complex operations in metal processing, making them more efficient and accessible for various applications, from automotive to medical Industrial laser processes, long praised for their precision and speed in manufacturing everything from automotive parts to medical implants, are notoriously complex. The…

Machine learning simplifies industrial laser processes - Conservative Angle

Laser-based metal processing enables the automated and precise production of complex components, whether for the automotive industry or for medicine. However, conventional methods require time- and resource-consuming preparations. Researchers are now using machine learning to make laser processes more precise, more cost-effective and more efficient. The post Machine learning simplifies industrial laser processes appeared first on Conservative An…