Compensation strategies for robotic motion errors for additive manufacturing (AM)

Show simple item record Bandari, Yashwanth K. Charrett, Thomas O. H. Michel, Florent Ding, Jialuo Williams, Stewart W. Tatum, Ralph P. 2017-09-29T10:30:26Z 2017-09-29T10:30:26Z 2016-08-10
dc.identifier.citation Bandari Y, Charrett T, Michel F, Ding J, Williams S, Tatam R, Compensation strategies for robotic motion errors for additive manufacturing, Proceedings of Proceedings of 27th Annual International Solid Freeform Fabrication Symposium, 8-10 August 2016, Austin, Texas, USA en_UK
dc.description.abstract It is desirable to utilise a robotic approach in additive manufacturing as Computer Numerical Control (CNC) is expensive and it has high maintenance costs. A robotic approach is relatively inexpensive compared to CNC and can provide much more flexibility, enabling a variety of configurations and easier parallel processing. However, robots struggle to achieve high positioning accuracy and are more prone to disturbances from the process forces. This paper attempts to characterise the robot position and velocity errors, which depend on the build strategy deployed, using a laser speckle correlation sensor to measure the robotic motion. An assessment has been done as to whether these errors would cause any problem in additive manufacturing techniques, where the test parts were built using the Wire+Arc Additive Manufacture (WAAM) technique. Finally, different compensation strategies are discussed to counter the robotic errors and a reduction of 3 mm in top surface profile irregularity by varying the wire feed speed (WFS) during the path has been demonstrated. en_UK
dc.language.iso en en_UK
dc.publisher University of Texas en_UK
dc.rights ©2016 The Authors. This is the Author Accepted Manuscript. The Authors retain the copyright.
dc.subject Robotics en_UK
dc.subject Additive manufacture en_UK
dc.subject Oscillation strategy en_UK
dc.subject Lasers en_UK
dc.subject Speckle correlation en_UK
dc.subject Odometry en_UK
dc.title Compensation strategies for robotic motion errors for additive manufacturing (AM) en_UK
dc.type Conference paper en_UK

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