Saliency‐Preserving Slicing Optimization for Effective 3D Printing

Wang, Weiming; Chao, Haiyuan; Tong, Jing; Yang, Zhouwang; Tong, Xin; Li, Hang; Liu, Xiuping; Liu, Ligang

doi:10.1111/cgf.12527

Cited by 70 publications

(43 citation statements)

References 38 publications

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“…A large body of work has investigated automatic techniques offering design aids in creating shapes that satisfy a variety of fabrication related constraints [8,9]. Recent examples include partitioning and packing approaches to accommodate large prints [10,11,12], advanced slicing methods to improve the print quality and build time [13,14,15,16], automatic support structure design methods [17,18] as well as shape modification approaches to minimize or avoid support structures [19,20,21]. Other shape modification approaches have been explored to meet geometric requirements such as minimum feature size or wall thickness [22,23,24].…”

Section: Design For Fabrication Constraintsmentioning

confidence: 99%

Manufacturability Oriented Model Correction and Build Direction Optimization for Additive Manufacturing

Ulu

Hsiao

et al. 2019

Journal of Mechanical Design

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We introduce a method to analyze and modify a shape to make it manufacturable for a given additive manufacturing (AM) process. Different AM technologies, process parameters or materials introduce geometric constraints on what is manufacturable or not. Given an input 3D model and minimum printable feature size dictated by the manufacturing process characteristics and parameters, our algorithm generates a corrected geometry that is printable with the intended AM process. A key issue in model correction for manufacturability is the identification of critical features that are affected by the printing process. To address this challenge, we propose a topology aware approach to construct the allowable space for a print head to traverse during the 3D printing process. Combined with our build orientation optimization algorithm, the amount of modifications performed on the shape is kept at minimum while providing an accurate approximation of the as-manufactured part. We demonstrate our method on a variety of 3D models and validate it by 3D printing the results.

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Section: Design For Fabrication Constraintsmentioning

confidence: 99%

Manufacturability Oriented Model Correction and Build Direction Optimization for Additive Manufacturing

Ulu

Hsiao

et al. 2019

Journal of Mechanical Design

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“…Rather than printing with the same uniform thickness throughout the object height, several methods propose to adapt the layer thickness to the object geometry [3]. There are essentially three techniques to decide the layer thickness at each height: subdividing into thinner slices from the coarsest uniform slicing [4,5,6], merging into thicker slices starting from the thinnest uniform slicing [7], or formulating a global optimization problem [8]. Boschetto et al [9] perform an inverse adaptation, deforming the input mesh such that the error after slicing is minimized.…”

Section: Previous Workmentioning

confidence: 99%

“…To address this problem several approaches first perform an object decomposition, and then independently slice different regions of the object. The object can be either printed as a single part with careful ordering of the toolpaths [12,13,14,8], or can be printed in several pieces that are later manually assembled [15,16,17].…”

Section: Previous Workmentioning

confidence: 99%

Anti-aliasing for fused filament deposition

Song

Ray

Sokolov

et al. 2017

Computer-Aided Design

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Layered manufacturing inherently suffers from staircase defects along surfaces that are gently slopped with respect to the build direction. Reducing the slice thickness improves the situation but never resolves it completely as flat layers remain a poor approximation of the true surface in these regions. In addition, reducing the slice thickness largely increases the print time.In this work we focus on a simple yet effective technique to improve the print accuracy for layered manufacturing by filament deposition. Our method works with standard three-axis 3D filament printers (e.g. the typical, widely available 3D printers), using standard extrusion nozzles. It better reproduces the geometry of sloped surfaces without increasing the print time.Our key idea is to perform a local anti-aliasing, working at a sub-layer accuracy to produce slightly curved deposition paths and reduce approximation errors. This is inspired by Computer Graphics anti-aliasing techniques which consider sub-pixel precision to treat aliasing effects. We show that the necessary deviation in height compared to standard slicing is bounded by half the layer thickness. Therefore, the height changes remain small and plastic deposition remains reliable. We further split and order paths to minimize defects due to the extruder nozzle shape, avoiding any change to the existing hardware. We apply and analyze our approach on 3D printed examples, showing that our technique greatly improves surface accuracy and silhouette quality while keeping the print time nearly identical.

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“…In traditional additive manufacturing, a given shape is sliced regularly, and the printing path is determined for each slice independently at the highest resolution. Wang et al [WCT*15] propose slicing the mesh with adaptive layer thicknesses to reduce printing time. Thicker layers imply extruding more material at a given point, increasing speed while reducing resolution.…”

Section: Optimization Of the Manufacturing Processmentioning

confidence: 99%

State of the Art in Methods and Representations for Fabrication-Aware Design

Bermano

Funkhouser

Rusinkiewicz

2017

Computer Graphics Forum

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Computational manufacturing technologies such as 3D printing hold the potential for creating objects with previously undreamed‐of combinations of functionality and physical properties. Human designers, however, typically cannot exploit the full geometric (and often material) complexity of which these devices are capable. This STAR examines recent systems developed by the computer graphics community in which designers specify higher‐level goals ranging from structural integrity and deformation to appearance and aesthetics, with the final detailed shape and manufacturing instructions emerging as the result of computation. It summarizes frameworks for interaction, simulation, and optimization, as well as documents the range of general objectives and domain‐specific goals that have been considered. An important unifying thread in this analysis is that different underlying geometric and physical representations are necessary for different tasks: we document over a dozen classes of representations that have been used for fabrication‐aware design in the literature. We analyze how these classes possess obvious advantages for some needs, but have also been used in creative manners to facilitate unexpected problem solutions.

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Saliency‐Preserving Slicing Optimization for Effective 3D Printing

Cited by 70 publications

References 38 publications

Manufacturability Oriented Model Correction and Build Direction Optimization for Additive Manufacturing

Manufacturability Oriented Model Correction and Build Direction Optimization for Additive Manufacturing

Anti-aliasing for fused filament deposition

State of the Art in Methods and Representations for Fabrication-Aware Design

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