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Reducing the uncertainty in robotic machining by modal analysis

Iñigo Alberdi, Jose Angel Pelegay, P.J. Arrazola, Klaus Bonde Ørskov

Year
2017
Citations
2

Abstract

The use of industrial robots for machining could lead to high cost and energy savings for the manufacturing industry. Machining robots offer several advantages respect to CNC machines such as flexibility, wide working space, adaptability and relatively low cost. However, there are some drawbacks that are preventing a widespread adoption of robotic solutions namely lower stiffness, vibration/chatter problems and lower accuracy and repeatability. Normally due to these issues conservative cutting parameters are chosen, resulting in a low material removal rate (MRR). In this article, an example of a modal analysis of a robot is presented. For that purpose the Tap-testing technology is introduced, which aims at maximizing productivity, reducing the uncertainty in the selection of cutting parameters and offering a stable process free from chatter vibrations.

Keywords

MachiningRobotModalFlexibility (engineering)VibrationAdaptabilityModal analysisComputer scienceProcess (computing)Stiffness

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