An Adaptive Slicing Thickness Adjustment Method Based on Cloud Point in 3D Printing

Wang, Quan; Yang, Pengfei; Huang, Ling; Wei, Qi; Liang, Yongtao

doi:10.1109/icess.2016.22

Cited by 7 publications

(4 citation statements)

References 13 publications

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“…Many other adaptive slicing algorithms have also been proposed, such as Wong and Hernandez (2012), Hayasi and Asiabanpour (2013), Zhang et al (2019), Ding et al (2016), Wang et al (2016), Cormier et al (2000), Rianmora and Koomsap (2010), Wang et al (2013), Zhao and Guo (2020), Rosa and Graziosi (2019), Liu et al (2021) and Jingting Xu systematically reviewed the published slicing method for AM (Xu et al, 2018a(Xu et al, , 2018b. Although these algorithms applied different evaluation indicators to represent geometric error and different schemes to generate the slice result with minimum layer number, each algorithm was only for some particular model or had some shortcomings.…”

Section: Polygons Boolean Operations-based Methodsmentioning

confidence: 99%

A novel adaptive slicing algorithm based on ameliorative area ratio and accurate cusp height for 3D printing

Jiang

Huo

et al. 2021

RPJ

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Purpose Adaptive slicing is a key step in three-dimensional (3D) printing as it is closely related to the building time and the surface quality. This study aims to develop a novel adaptive slicing method based on ameliorative area ratio and accurate cusp height for 3D printing using stereolithography (STL) models. Design/methodology/approach The proposed method consists of two stages. In the first stage, the STL model is sliced with constant layer thickness, where an improved algorithm for generating active triangular patches, the list is developed to preprocess the model faster. In the second stage, the model is first divided into several blocks according to the number of contours, then an axis-aligned bounding box-based contour matching algorithm and a polygons intersection algorithm are given to compare the geometric information between several successive layers, which will determine whether these layers can be merged to one. Findings Several benchmarks are applied to verify this new method. Developed method has also been compared with the uniform slicing method and two existing adaptive slicing methods to demonstrate its effectiveness in slicing. Originality/value Compared with other methods, the method leads to fewer layers whilst keeping the geometric error within a given threshold. It demonstrates that the proposed slicing method can reach a trade-off between the building time and the surface quality.

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Section: Polygons Boolean Operations-based Methodsmentioning

confidence: 99%

A novel adaptive slicing algorithm based on ameliorative area ratio and accurate cusp height for 3D printing

Jiang

Huo

et al. 2021

RPJ

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“…Point cloud is a commonly used data format (Wang and Wang, 2016; Wang et al , 2016). In this study, curved surface point cloud data of a defect surface were obtained using a scanning system (Jiang et al , 2015a, 2015b, 2016).…”

Section: Path Planning Methods and Parameter Settingmentioning

confidence: 99%

Path planning method based on discontinuous grid partition algorithm of point cloud for in situ printing

Lian

et al. 2019

RPJ

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Purpose Path planning is an important part of three-dimensional (3D) printing data processing technology. This study aims to propose a new path planning method based on a discontinuous grid partition algorithm of point cloud for in situ printing. Design/methodology/approach Three types of parameters (i.e. structural, process and path interruption parameters) were designed to establish the algorithm model with the path error and the computation amount as the dependent variables. The path error (i.e. boundary error and internal error) was further studied and the influence of each parameter on the path point density was analyzed quantitatively. The feasibility of this method was verified by skin in situ printing experiments. Findings Path point density was positively correlated with Grid_size and negatively related to other parameters. Point_space, Sparsity and Line_space had greater influence on path point density than Indentation and Grid_size. In skin in situ printing experiment, two layers of orthogonal printing path were generated, and the material was printed accurately in the defect, which proved the feasibility of this method. Originality/value This study proposed a new path planning method that converted 3D point cloud data to a printing path directly, providing a new path planning solution for in situ printing. The discontinuous grid partition algorithm achieved controllability of the path planning accuracy and computation amount that could be applied to different processes.

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“…An improvement in detailed parts can be produced with higher resolution or lower layer thicknesses. A lot of research is going on for optimising the layer thickness parameter and developing adaptive slicing techniques [44][45][46][47]. Different printers have different maximum resolutions, These slices are then used to generate a toolpath, which is interpreted by a 3D printer to begin the manufacturing process.…”

Section: Layer Heightmentioning

confidence: 99%

Polymer-Based Additive Manufacturing: Process Optimisation for Low-Cost Industrial Robotics Manufacture

2021

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The robotics design process can be complex with potentially multiple design iterations. The use of 3D printing is ideal for rapid prototyping and has conventionally been utilised in concept development and for exploring different design parameters that are ultimately used to meet an intended application or routine. During the initial stage of a robot development, exploiting 3D printing can provide design freedom, customisation and sustainability and ultimately lead to direct cost benefits. Traditionally, robot specifications are selected on the basis of being able to deliver a specific task. However, a robot that can be specified by design parameters linked to a distinctive task can be developed quickly, inexpensively, and with little overall risk utilising a 3D printing process. Numerous factors are inevitably important for the design of industrial robots using polymer-based additive manufacturing. However, with an extensive range of new polymer-based additive manufacturing techniques and materials, these could provide significant benefits for future robotics design and development.

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An Adaptive Slicing Thickness Adjustment Method Based on Cloud Point in 3D Printing

Cited by 7 publications

References 13 publications

A novel adaptive slicing algorithm based on ameliorative area ratio and accurate cusp height for 3D printing

A novel adaptive slicing algorithm based on ameliorative area ratio and accurate cusp height for 3D printing

Path planning method based on discontinuous grid partition algorithm of point cloud for in situ printing

Polymer-Based Additive Manufacturing: Process Optimisation for Low-Cost Industrial Robotics Manufacture

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