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Ke Xu 0007

dblp:181/2626-7 · DBLP profile ↗
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5ranked-venue papers
3as first author
0since 2021 · last 2020
0000-0003-4934-1837ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 4 · 2 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
3 papers
Computational fabrication · 88% Image and video processing · 6% Geometric modeling and processing · 6%

Topics — the 4 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational fabrication
tool path generation
0.622020
Quasi-Optimal Tool Trajectories for High Speed 2.5D Process Based on Morphological Transformation · Comput. Aided Des. 2020
Five-axis Trochoidal Flank Milling of Deep 3D Cavities · Comput. Aided Des. 2020
Computational fabrication › machining
five-axis milling
0.412020
Five-axis Trochoidal Flank Milling of Deep 3D Cavities · Comput. Aided Des. 2020
Computational fabrication
machining
0.412020
Five-axis Trochoidal Flank Milling of Deep 3D Cavities · Comput. Aided Des. 2020
Image and video processing › mathematical morphology
morphological operator
0.112020
Quasi-Optimal Tool Trajectories for High Speed 2.5D Process Based on Morphological Transformation · Comput. Aided Des. 2020

Methods — techniques the papers use, named apart from their topics

trochoidal toolpath planning · 0.4morphological transformation · 0.4curved layer slicing · 0.4
YearPublicationVenuePosition
2020 Five-axis Trochoidal Flank Milling of Deep 3D Cavities
Lufeng Chen, Ke Xu 0007, Yongsheng Gao 0007, Kai Tang 0001
Comput. Aided Des.3
2020 Quasi-Optimal Tool Trajectories for High Speed 2.5D Process Based on Morphological Transformation
Ke Xu 0007, Yingguang Li, Mengyuan Yang 0004
Comput. Aided Des.1
2019 Curved layer based process planning for multi-axis volume printing of freeform parts
Ke Xu 0007, Yingguang Li, Lufeng Chen, Kai Tang 0001
Comput. Aided Des.1
2019 Support-Free Layered Process Planning Toward 3 + 2-Axis Additive Manufacturing
abstract
For the traditional three-axis configuration of additive manufacturing (AM) platform, it is imperative to construct adequate support structures prior to the fabrication of overhanging features on the part geometry. To completely eliminate the use of support by taking advantage of the newly emerged five-axis AM platform, a novel multidirectional process planning algorithm for 3 + 2-axis AM is proposed in this paper. The core of the strategy is to decompose the model into support-free parts directly pertaining to the cusp-height constraint, each with its own build direction. The nozzle will follow the staged sequence to fabricate each individual part along its build direction, as facilitated by the adjustable orientation of the nozzle head on a five-axis platform. For model decomposition, a recursive downward flooding expansion algorithm is introduced to identify a surface patch in accordance with the support-free criteria. After being stitched as a watertight geometry, the decomposed part together with the remaining part will be archived into a prescribed hierarchy based on which the build sequence is readily established. Preliminary testing results have verified the effectiveness of the algorithm to handle the geometries of different types. Note to Practitioners-This paper was motivated by the deficiencies encountered in traditional three-axis additive manufacturing (AM). In practice, most commercialized 3-D printers are of three-axis configuration, on which it is required to construct support structures for those overhanging features on the part geometry. These support structures not only cost extra time and materials but also leave noticeable artifacts on the part surface even after the clean-up process. As an ultimate solution to this issue, the newly emerged five-axis AM platform is able to physically eliminate the need for support by properly and continuously adjusting the build direction. This, however, demands a delicate algorithm for determining the changing build direction for an arbitrary part that is currently unavailable. To simplify this challenging task, we took advantage of the 3 + 2 motion capability of the five-axis AM platform to progressively plan the three-axis printing process for a given freeform model. The core idea of our solution is to decompose the model by a flooding-like algorithm into individual support-free parts, each of which is printable along a fixed build direction without any support. The nozzle will then follow a prescribed sequence to print each part one on the other. The proposed algorithm is purely geometric, without taking into account the material property and the mass distribution. Preliminary testing results show that our approach is feasible and robust when dealing with limited geometries that abide a tree-like structure and features a clear flat base. Besides these geometric limitations, our current preliminary scheme for collision avoidance may become invalid upon an arbitrary complex geometry. We will further extend this method to cater to more sophisticated and general geometries.
Ke Xu 0007, Lufeng Chen, Kai Tang 0001
IEEE Trans Autom. Sci. Eng.1
2018 Optimized sequence planning for multi-axis hybrid machining of complex geometries
Li Chen 0010, Ke Xu 0007, Kai Tang 0001
Comput. Graph.2