CAD/CAM Robotics and Factories of the Future: Volume III: by Ralph Holmberg (auth.), Birendra Prasad, S. N. Dwivedi, R.

By Ralph Holmberg (auth.), Birendra Prasad, S. N. Dwivedi, R. Mahajan (eds.)

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Additional info for CAD/CAM Robotics and Factories of the Future: Volume III: Robotics and Plant Automation

Sample text

ConcJusjon This study has demonstrated that the abrasive waterjet robotie workcell can be effeetively used in a factory environment for the manufacture of small batches, as weil as, mass production of parts. Referenees 1. : Investigation of a Teehnology for Glass Shaping by the Use of Abrasive Waterjet. Master Thesis. NJIT, May, 1989. 2. Vora, A: Characterization of Surfaces Generated in the Course of Abrasive Waterjet Cutting of Titanium. Master Thesis. NJIT, May, 1988. 3. Specifications for Jngersoll-Rand Streamline 5-Axis Robotic Workee 11 , Jan.

The planning and control within a cell is done online by a logical ce lI-controller which itself is regarded as an integral part of the cello The logical cell-controller is realized by a cluster of one or more dedicated microcomputers. Manufacturing activity in a flexible and dynamic environment requires frequent coordination among cells ( cell-controllers) for exchange of information, and physical objects. For intercell information exchange, the logical cell-controllers are logically fully connected via a local area network.

They defined a standard rectangular working area for each type of robot. , swinging 300 mm, time vs. distance characteristics, base-running, pick-and-place, palletizing, and peg insertion) and three continuous-path tasks (linear, circular and spline interpolations). Standard and maximum working areas are considered (Fig. 1c). In West Germany, Warnecke et al. made significant contributions to robot testing [7]. They proposed tha t the test va lues include the following data: geometrie values (workspace, static behavior, position accuracy [repeatability and reversal error], path accuracy, overshoot, reproduction of the smallest steps, synchronous travel accuracy, and long-term behavior), kinematic values (cycle time, speed, and acceleration), power and noise values, thermal values, and dynamic values ( force, dynamic compliance, dynamic behavior of the moving structure, data for system modeling, and optimization).

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