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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/7186
Title: Motion command generation for multi-axis machining
Authors: Fleisig, Robert V.
Advisor: Spence, Allan D.
Department: Mechanical Engineering
Keywords: Mechanical Engineering;Mechanical Engineering
Publication Date: Dec-2000
Abstract: <p>In current industrial practice, the transformation of Computer-Aided Geometric Design surfaces into Computer Numerical Control (CNC) machine tool axis commands is performed with the aid of Computer-Aided Manufacturing software and a closed CNC machine tool controller. The advent of new technologies such as Open Architecture Control has enabled the rethinking of motion command generation. This thesis describes a five-axis motion command generation architecture and algorithms in which a parameterized tool-path is interpolated off-line and the inverse kinematics mapping is performed in real-time, on the CNC controller. This architecture eliminates the need for time consuming repost-processing of the tool-path in the event of kinematic changes and additionally introduces the benefits of parametric splines with controlled feedrate. To deterministically attain a near constant feedrate tool-path, near arc-length parameterized splines are prepared off-line. The C2 position spline which is near arclength parameterized improves on the previously reported research. The orientation unit vectors are interpolated with a C 2 spherical Bézier spline. These two splines are then synchronized by means of a monotonic reparameterization spline. This results in reduced effective feedrate oscillation. The interpolated tool-path and axis commands are demonstrated to be smooth and C2 continuous. To cope with actuator saturation, a feedrate interpolation algorithm is developed which ensures C2 continuity but allows the feedrate to be adjusted as needed. The developed algorithms were simulated for two tool-paths and two five-axis machines tools. A test part was cut to demonstrate geometric correctness.</p>
URI: http://hdl.handle.net/11375/7186
Identifier: opendissertations/2473
3450
1383792
Appears in Collections:Open Access Dissertations and Theses

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