Artificial intelligence for machine tool maintenance

Cutting Tool Engineering | January 30, 2020

Artificial intelligence for machine tool maintenance
Researchers at the Karlsruhe Institute of Technology have developed a system for fully automated monitoring of ballscrew drives in machine tools. A camera integrated directly into the nut of the drive generates images that artificial intelligence continuously monitors for signs of wear, helping to reduce machine downtime. In mechanical engineering, maintaining and replacing defective components timely in machine tools is an important part of the manufacturing process. In the case of ballscrew drives, such as those used in lathes to precisely guide the production of cylindrical components, wear has until now been determined manually.

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Emerson has extended it award-winning PlantWeb digital architecture to include manufacturing operations management capabilities with its Syncade Smart Operations Management Suite. The purpose of this white paper is to describe the need, application, and value of using IT software solutions to manage production, material, and quality operations and the value of integrating process control and IT systems to improve manufacturing agility, efficiency and right first-time performance.

Spotlight

Emerson has extended it award-winning PlantWeb digital architecture to include manufacturing operations management capabilities with its Syncade Smart Operations Management Suite. The purpose of this white paper is to describe the need, application, and value of using IT software solutions to manage production, material, and quality operations and the value of integrating process control and IT systems to improve manufacturing agility, efficiency and right first-time performance.

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