Direct slicing of cloud data with guaranteed topology for rapid prototyping

Qiu, Yanjie; Zhou, Xionghui; Qian, Xiaoping

doi:10.1007/s00170-010-2829-6

Cited by 34 publications

(13 citation statements)

References 21 publications

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“…Yang and Qiang [YQ08] propose to rely on the moving least square method to implicitly define the surface from the point cloud. Qiu et al [QZQ11] and Yang et al [YLQ10] refine this approach by considering the global topology of the shape to detect and capture extremal points in an adaptive slicing strategy (see Figure ). Chen et al [CLQ13] propose a complete system for scanning an object and fabricating it in a different location, based on point clouds.…”

Section: Process Planning Stepsmentioning

confidence: 99%

From 3D models to 3D prints: an overview of the processing pipeline

Livesu

Ellero

Martínez

et al. 2017

Computer Graphics Forum

126

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Due to the wide diffusion of 3D printing technologies, geometric algorithms for Additive Manufacturing are being invented at an impressive speed. Each single step, in particular along the Process Planning pipeline, can now count on dozens of methods that prepare the 3D model for fabrication, while analysing and optimizing geometry and machine instructions for various objectives. This report provides a classification of this huge state of the art, and elicits the relation between each single algorithm and a list of desirable objectives during Process Planning. The objectives themselves are listed and discussed, along with possible needs for tradeoffs. Additive Manufacturing technologies are broadly categorized to explicitly relate classes of devices and supported features. Finally, this report offers an analysis of the state of the art while discussing open and challenging problems from both an academic and an industrial perspective.

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Section: Process Planning Stepsmentioning

confidence: 99%

From 3D models to 3D prints: an overview of the processing pipeline

Livesu

Ellero

Martínez

et al. 2017

Computer Graphics Forum

126

View full text Add to dashboard Cite

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“…Some direct slicing approaches for point cloud are proposed to establish the layerbased model for slicing. 18,19 Qiu et al 20 proposed the variation of the traditional moving-least square surface-based slicing approach by extracting topological information from the point cloud. Images of the model are also used to slice.…”

Section: Background and Related Workmentioning

confidence: 99%

A polygons Boolean operations-based adaptive slicing with sliced data for additive manufacturing

Lin

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part C:

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In order to increase the efficiency of additive manufacturing, this paper proposes a novel adaptive slicing approach of sliced data with minimum thickness based on Boolean operations of polygons. It can greatly handle the balance between the build time and the surface precision of additive manufacturing. The proposed adaptive slicing is available for the single solid model, the support of additive manufacturing, and simultaneously manufactured multiple models. At first, the Boolean operations of polygons are used to gain the relationship of the adjacent layers to serve as the topological information. Second, two parameters are proposed to evaluate the precision of sliced surface: the ameliorative area ratio and variation of the cusp height. Ameliorative area ratio overcomes the drawbacks of original area deviation ration criteria and can work on the large and complex models. Variation of the cusp height makes the calculation of cusp height suitable for sliced data of model, and it is independent of the normal vector of surfaces. Third, the adaptive slicing is realized by removing unnecessary layers based on two parameters and the maximum allowable thickness. The thicknesses are times of the minimum thickness. Moreover, the adaptive slicing for support of additive manufacturing is developed through dividing the support into two parts according to its height and location. Slicing of multiple models is also proposed by choosing the maximum ameliorative area ratio and variation of the cusp height among all models in the same z level as the two parameters. Finally, the adaptive slicing for the three types is tested with some special models, and corresponding models are printed with FDM technology based on slicing results of the proposed approach. Results show that the proposed adaptive slicing approach is effective.

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“…However, the shape error definition is not invariant under point density. Yang et al [19] and Qiu et al [20] proposed an adaptive slicing algorithm based on curvature information of a MLS (Moving Least Square) surface. For NURBS surface, Ma et al [21] also combined an adaptive scheme according to surface curvature information.…”

Section: Related Workmentioning

confidence: 99%