2018
DOI: 10.1016/j.jmsy.2018.04.012
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A multi-objective tool-axis optimization algorithm based on covariant field functional

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Cited by 20 publications
(3 citation statements)
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“…On this basis, a novel method based on the best curvature matching was used to generate smoothing tool orientation [ 24 ]. Yana et al [ 25 ] proposed a mathematical framework to generate smoothing tool axis variation even on partial surfaces lacking G2 and/or G1 continuities. Wang et al [ 26 ] constructed a selection strategy for the smoothing tool axis from the discrete domain of feasible orientations.…”
Section: Introductionmentioning
confidence: 99%
“…On this basis, a novel method based on the best curvature matching was used to generate smoothing tool orientation [ 24 ]. Yana et al [ 25 ] proposed a mathematical framework to generate smoothing tool axis variation even on partial surfaces lacking G2 and/or G1 continuities. Wang et al [ 26 ] constructed a selection strategy for the smoothing tool axis from the discrete domain of feasible orientations.…”
Section: Introductionmentioning
confidence: 99%
“…Traditional machining methods make it difficult to meet their processing needs. Compared with three-axis computer numerical control (CNC) machine tools, five-axis CNC machine tools add two rotational axes based on the three translational axes so that the cutting tool can contact the part in any direction in the machining process [ 2 ]. Meanwhile, five-axis CNC machining has the properties of high efficiency, excellent flexibility, high precision, and good reliability; therefore, it has been widely used in free-form surface processing [ 3 ].…”
Section: Introductionmentioning
confidence: 99%
“…B-spline (or NURBS) path smoothing, are preferred. The current smoothing methods of three-axis CNC tool path and robot linear position path are similar and mature (Yan et al , 2018; Min et al , 2020; Chen and Chen, 2019). Compared with position path smoothing methods, orientation path smoothing methods are more difficult.…”
Section: Introductionmentioning
confidence: 99%