Author name: Lakshmy

Coding for defect detection in glass fibre production

Detecting defects during glass fibre production is a critical task that impacts efficiency, costs and sustainability. During a recent COGNIMAN coding day in Kristiansand, Norway, engineers and technical experts from 3B-Fibreglass, IBM, SINTEF, NORCE and Montimage worked together to advance the sensor solutions using artificial intelligence (AI). Tackling defects in glass fibre production In glass …

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Coding for autonomous deburring in precision machining

Deburring—removing excess material from parts—is a necessary but manual-labour intensive step in GOIMEK’s precision machining. The progress made during a recent COGNIMAN coding day in Kristiansand, Norway has brought automation within reach. The session brought together experts from the project partners like IBM, SINTEF, NORCE and Montimage. Tackling deburring in large parts At GOIMEK, the …

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Coding in COGNIMAN

In today’s world of smart manufacturing, coding plays a critical role in enabling innovations that improve efficiency, precision and sustainability. Coding, also known as programming, is the process of writing instructions for computers to follow to perform specific tasks or solve problems. Through coding that integrates digital twin technology, AI-driven decision-making and real-time data, coders …

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COGNIMAN successfully completes the first review

The EU-funded project COGNIMAN, aimed at advancing smart manufacturing technologies, has successfully completed its first review meeting, in which representatives of the European Commission evaluate the project’s progress. Launched in January 2023, COGNIMAN focuses on automating complex manufacturing processes to improve productivity, flexibility and sustainability in the European manufacturing sector. During the review, the project …

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Digital solutions to analogue challenges – coding for better traceability

The steel production site of Acciaierie Bertoli Safau, ABS, for short, in Pozzuolo del Friuli in Italy is vast – its buildings and storage space cover the size of several football stadiums. It’s so big it even has its own train station, to which the main raw material is delivered: scrap metal. This raw material …

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Autonomous deburring – The GOIMEK use case in focus

The GOIMEK use case within COGNIMAN focuses on deburring. In metal manufacturing, the deburring process is crucial in ensuring high-quality machined parts. Burrs, unwanted materials resulting from manufacturing, can lead to assembly or operational issues. This use case involves a thorough approach, including planning, developing robotic capabilities and integrating systems to monitor safety and quality. Partners …

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