2008
DOI: 10.1016/j.jmatprotec.2007.11.092
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A solid model-based off-line adaptive controller for feed rate scheduling for milling process

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Cited by 32 publications
(17 citation statements)
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“…The authors present the decomposition algorithm of the Octree model into three Quadtree models which store the geometry along the three main directions. Subsequently, this system was extended to the physical simulation for the prediction of the cutting forces based on the material removal rates [24]. For the optimization of the cutting parameters, Karunakaran et al [12] found good results compared to the experimental.…”
Section: Octree-based Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The authors present the decomposition algorithm of the Octree model into three Quadtree models which store the geometry along the three main directions. Subsequently, this system was extended to the physical simulation for the prediction of the cutting forces based on the material removal rates [24]. For the optimization of the cutting parameters, Karunakaran et al [12] found good results compared to the experimental.…”
Section: Octree-based Methodsmentioning
confidence: 99%
“…The computational cost is high in terms of time, storage of data and complexity. For n tool movements, the cost of the simulation is estimated to O(n 1.5 ) [24].…”
Section: B-rep-basedmentioning
confidence: 99%
“…Chiou and Lee (2002) constructed the cutter's swept envelope and applied it to NC verification. The stencil buffer sweep plane algorithm (Bohez et al 2003), octree-based voxel data structure (Yau and Tsou 2009) and octree solid representation (Karunakaran and Shringi 2008) have been employed to develop the algorithm for 5-axis machining verification. The second research issue on manufacturability research of multi-axis surface machining focused on determining the optimal tool orientation and preventing error occurrence during tool path planning (Chiou and Lee 2005).…”
Section: Introductionmentioning
confidence: 99%
“…As a result, the swept volume method can lead to reduced computation time and provide better and more reliable distance information. The representation of volumes swept out by moving solids (Xia and Ge, 2001;Blackmore and Leu, 1992;Leu et al, 1986;Wang and Wang, 1986) and its applications (Zhu et al, 2009;Karunakaran and Shringi, 2008;Li et al, 2005;Weinert et al, 2004;Hasegawa et al, 2003;Oliver, 1992;Ganter and Uicker, 1986) can be found in several paper in the literature. One early major study among them was an analytical technique to compute swept volumes for real time verification of NC programs was developed by Wang and Wang (1986).…”
Section: Introductionmentioning
confidence: 99%