2004
DOI: 10.1016/s0010-4485(03)00141-6
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Graphics-assisted Rolling Ball Method for 5-axis surface machining

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Cited by 60 publications
(26 citation statements)
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“…Gray et al [8] presented a method to compute surface points and normals of triangulated surfaces using the computer's graphics card. The same method is used here for its simplicity.…”
Section: Five-axis Arc-intersect Algorithmmentioning
confidence: 99%
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“…Gray et al [8] presented a method to compute surface points and normals of triangulated surfaces using the computer's graphics card. The same method is used here for its simplicity.…”
Section: Five-axis Arc-intersect Algorithmmentioning
confidence: 99%
“…The cross-feed distance calculations were based on the ''Rolling Ball Method'', RBM, for 5-axis tool positioning developed by Gray et al [8] in which the surface normal curvature at each ccp is estimated for a triangulated surface along the cross-feed direction. The estimated curvature was compared to the projected effective radius of the tool at the ccp for each tool position to compute a cross-feed distance.…”
Section: Tool Path Generationmentioning
confidence: 99%
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“…Numerical methods have been increasingly applied in tool positioning algorithms to avoid the problems caused by local differential geometry. Rolling ball method (RBM) [12,13] placed the cutter inside a ball's surface, Arc intersect method (AIM) [14] forced the forward pseudo insert to contact the surface at CC point and then tilted the tool until it touched a second point on the part surface, and Penetration-elimination method (PEM) [15] developed a quantitative definition for gouging concept and greatly reduced the computational burden. The middle-point error control (MPEC) method, which focuses on the error distribution between the cutter and surface, is introduced in this paper.…”
Section: Introductionmentioning
confidence: 99%
“…The sweep-envelope differential equation method is probably the most elegant method to date that has proven to be suitable for NC verification [7,8]. Some of the works that have addressed NC verification but have not used swept volume methods include Voelker and Hunt [9], Menon and Voelcker [10], Oliver and Goodman [11], Narvekar et al [12], Takata et al [13], Jerard and Drysdale [14,15], Koren and Lin [16], Menon and Robinson [17], Oliver [18], Liang et al [19], Liu et al [20], Lee [21], Lo [22], Chiou et al [23,24], Elber and Cohen [25], Balasubramaniam et al [26,27], Rao and Sarma [28], Jensen et al [29], Bohez [30], Mann and Bedi [31], Yoon et al [32], Bedi et al [33], Gray et al [34,35], Fussell et al [36], Lauwers et al [37], Jun et al [38], Bohez et al [39], and Langeron et al [40].…”
Section: Introductionmentioning
confidence: 99%