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Fast and Flexible Robot-Based Solution Loads and Unloads Up to 16 Parts Per Minute on Tandem Press Lines

ABB Robotics has introduced the Twin Robot Xbar (TRX), a fast and flexible parts transfer system with an output rate of up to 16 parts per minute for big panels in tandem press lines. The TRX can be retro-fitted to existing press lines, setting it apart from similar systems which require additional space between the upright and bolster.

"The TRX raises the bar in press automation, providing end-users increased speed and greater flexibility with the proven robotic technology that has served them well," said Enrique Pano, press automation manager, ABB Robotics, North America. "Customers benefit from improved performance with familiar technology, maintaining valuable consistency in terms of availability, spare parts, service, support and programming knowledge."

Utilizing two robots optimally distributes the total power and load, while minimizing the inertia in demanding press automation applications. With ABB's MultiMove™ technology a single robot cabinet controls all ten TRX axes, comprised of two four-axis robots plus two crossbar axes, simplifying programming without adding to the system footprint.

The system can accommodate a wide range of crossbar types and lengths to assure the right fit for different line configurations. Crossbar changes for new production have been fully automated on the press bolster or at the inter-press.

"Cost efficient and reliable, the TRX can tilt in three different axes and allows dynamic reconfiguration of part distance when moving double parts (side-shifting), eliminating the need for additional actuators," adds Pano.

The TRX runs on StampWare, a proprietary software package from ABB designed to facilitate interaction between operator and press cell. Available on the robot FlexPendant for maximum simplicity, flexibility and cost effectiveness, StampWare includes a graphical programming wizard that helps operators easily program the robots without having to master the programming language. It is currently running in more than 1,000 robots worldwide.

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ABB Robotics

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