News Post

FLASH Project: New Collaborations

FLASH - Flexible Laser-based manufacturing through precision photon distribution is pleased to announce a new collaboration with sibling HORIZON EUROPE Projects. United by laser processing:

WAVETAILOR Project is pleased to announce the start of a new collaboration with two sibling HORIZON EUROPE Projects. The efficiency and sustainability of lasermanufacturing technologies are common threads interweaving these projects’ goals and Wavetailor’s objectives. Together, we strive to maintain Europe's leading position worldwide in advancedmanufacturing while reducing the negative impacts of various industries on our environment: WAVETAILOR Website

LASERWA Project is pleased to announce the start of a new collaboration with two sibling European projects. The efficiency and sustainability of lasermanufacturing technologies are common threads interweaving these projects’ goals and LaserWay’s objectives. Together, we strive to maintain Europe's leading position worldwide in advancedmanufacturing while reducing the negative impacts of various industries on our environment: LASERWA Website

Stay tuned for updates on our journey towards a more sustainable future!

Provide agility, speed, cost-effectiveness, material flexibility, and energy savings compared to existing technologies.

Integration of Laser Sources and Beam Delivery Heads:

Develop a single laser module integrating three laser sources and three beam delivery heads, allowing multi-wavelength emission, broad pulse length regime, and dynamic beam shaping.

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Dynamic Beam Shaping:

Implement adaptive energy distribution for dynamic beam shaping in a hybrid robotic/CNC platform, enhancing flexibility in manufacturing processes.

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In-Process Monitoring and Control:

Incorporate in-process monitoring and control mechanisms, supported by an advanced digital infrastructure based on a cloud data management system, to ensure stable and efficient manufacturing.

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Process Design for Laser-Based Manufacturing:

Integrate process design models using machine learning and a cloud data management system, aiming to minimize waste, defects, process costs, and energy consumption.

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