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The automated bolt tensioning system “Snowflake” represents a cutting-edge solution in the field of automated bolt tensioning. Together with the WZL of RWTH Aachen and Plarad Torque Systems, this project was integrated by Broetje-Automation to join outstanding technology in one product for automated wind turbine production. This system integrates advanced robotic technology combined with an automated tensioner mounted on an autonomous guided vehicle (AGV) to deliver precise and reliable fastening. Designed for large-scale industrial applications, including wind energy and heavy machinery, where its versatility and automation capabilities significantly improve both efficiency and safety. With features such as omnidirectional movement, real-time control, and autonomous obstacle detection, Snowflake ensures high performance with minimal human intervention, pushing the boundaries of industrial automation.
Special Features
• Online and offline teaching of parts
• Camera based self centering on fastener
• Full Body Kinematics – AGV kinematic and robot-kinematic integrated together
• Full integration – AGV, robot, camera, tensioner controllable by mobile clients
• Optimized Bolt Tensioning Process for an ergonomic working enviroment
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Tag der Ausbildung bei Broetje-Automation – Deine Zukunft beginnt hier!
- Published on 6 June 2025
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SOUL OLPS User Meeting 2025: More productivity and quality in NC programming and simulation
- Published on 4 April 2025
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Putting the customer at the centre – that is the idea behind the annual SOUL OLPS user meeting at Broetje-Automation. From 19 to 21 March, this year’s SOUL OLPS user meeting took place at the company’s headquarters in Rastede. The annual event is a valuable opportunity for in-depth discussions on current challenges and best practices in NC programming and simulation. In addition to sharing best practices, new features for the leading offline NC programming system were presented, including integration with the latest “3D Experience Platform” and the realisation of a comprehensive digital twin of machine, process and component.