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Orientation Smoothing for 5-Axis Machining Using Quasi-Redundant Degrees of Freedom
Author(s) -
Florian Sellmann,
Titus Haas,
Nguyen Van Hop,
Sascha Weikert,
Konrad Wegener
Publication year - 2016
Publication title -
international journal of automation technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.513
H-Index - 18
eISSN - 1883-8022
pISSN - 1881-7629
DOI - 10.20965/ijat.2016.p0262
Subject(s) - machine tool , machining , degrees of freedom (physics and chemistry) , jerk , smoothing , redundancy (engineering) , point (geometry) , inertia , mechanical engineering , orientation (vector space) , stiffness , computer science , algorithm , control theory (sociology) , engineering , mathematics , geometry , artificial intelligence , structural engineering , computer vision , physics , classical mechanics , quantum mechanics , control (management) , acceleration , operating system
A new approach for set point generation in the field of 5-axis machining using quasi-redundant degrees of freedom is introduced in this study. In machine tools that possess both rotational and translational axes, no bijective correlation exists between the tool center point and the movement of the machine tool axes based on the manufacturing tolerances. Depending on the manufacturing process, as many as two additional degrees of freedom exist that allow the machine tool axes movement to be optimised within the given manufacturing tolerances with respect to the axes’ inertia. In this study to reduce the mechanical excitation of the machine tool, the jerk of the machine tool axes is minimised. To enhance robustness, the optimisation problem is formulated as a quadratic program with linear constraints. This problem can be solved by using an interior point method. An application example shows that when exploiting quasi-redundancy, the mechanical excitation of the machine tool can be reduced.

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