A maze-like path generation scheme for fused deposition modeling

Lin, Sen; Xia, Lingwei; Ma, Guowei; Zhou, Shiwei; Xie, Yi Min

doi:10.1007/s00170-019-03986-7

Cited by 30 publications

(21 citation statements)

References 40 publications

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“…As reviewed in [62], various generic infill patterns including the raster path [63], zigzag path [64][65][66][67], contour path [68][69][70], spiral path [71][72][73], hybrid path [74,75], maze-like path [76] and continuous path [77,78] have been analysed for unreinforced applications. They are partly incorporated into today's Slicing software.…”

Section: Dfam and Tool Path Generation With Frammentioning

confidence: 99%

“…In the context of performance, the effect of different infill patterns on the mechanical properties has been investigated (Plocher and Panesar, 2018;Adams and Turner, 2018;Baikerikar and Turner, 2017). A higher flexural strength of continuous deposition path over zig-zag patterns was determined in Jin et al (2017), and maze-like patterns (Lin et al, 2019) were found to promote (quasi-) isotropic properties. The dependence of the detrimental in-plane gaps (porosity) on the infill strategy and parameters and geometrical features and complexity has been demonstrated in Blok et al (2017), Adams and Turner (2018); and Eiliat and Urbanic (2018).…”

Section: Dfam and Toolpath Generation With Frammentioning

confidence: 99%

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Additive manufacturing with fibre-reinforcement – design guidelines and investigation into the influence of infill patterns

Plocher

Wioland

Panesar

2022

RPJ

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Purpose Fibre-reinforced additive manufacturing (FRAM) with short and continuous fibres yields light and stiff parts and thus increasing industry acceptance. High material anisotropy and specific manufacturing constraints shift the focus towards design for AM (DfAM), particularly on toolpath strategies. Assessing the design-property-processing relations of infill patterns is fundamental to establishing design guidelines for FRAM. Design/methodology/approach Subject to the DfAM factors performance, economy and manufacturability, the efficacy of two conventional infill patterns (grid and concentric) was compared with two custom strategies derived from the medial axis transformation (MAT) and guided by the principal stresses (MPS). The recorded stiffness and strength, the required CPU and print time, and the degree of path undulation and effective fibre utilisation (minimum printable fibre length) associated with each pattern, served as assessment indices for different case studies. Moreover, the influence of material anisotropy was examined, and a stiffness-alignment index was introduced to predict a pattern’s performance. Findings The highest stiffnesses and strengths were recorded for the MPS infill, emphasising the need for tailoring print paths rather than using fixed patterns. In contrast to the grid infill, the concentric infill offered short print times and reasonable utilisation of continuous fibres. The MAT-based infill yielded an excellent compromise between the three DfAM factors and experimentally resulted in the best performance. Originality/value This constitutes the first comprehensive investigation into infill patterns under DfAM consideration for FRAM, facilitating design and processing choices.

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Section: Dfam and Tool Path Generation With Frammentioning

confidence: 99%

Section: Dfam and Toolpath Generation With Frammentioning

confidence: 99%

Additive manufacturing with fibre-reinforcement – design guidelines and investigation into the influence of infill patterns

Plocher

Wioland

Panesar

2022

RPJ

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“…Wavy path planning was developed by Jin et al [ 77 ] to improve the structural strength of printed parts in FDM. Lin et al [ 78 ] proposed a maze-like path planning strategy that could fabricate isotropic components in FDM. Jin et al [ 79 ] developed a path planning strategy for the successful fabrication of thin-walled parts with good qualities in FDM.…”

Section: Path Planning Strategiesmentioning

confidence: 99%

Path Planning Strategies to Optimize Accuracy, Quality, Build Time and Material Use in Additive Manufacturing: A Review

Jiang

2020

Micromachines

215

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Additive manufacturing (AM) is the process of joining materials layer by layer to fabricate products based on 3D models. Due to the layer-by-layer nature of AM, parts with complex geometries, integrated assemblies, customized geometry or multifunctional designs can now be manufactured more easily than traditional subtractive manufacturing. Path planning in AM is an important step in the process of manufacturing products. The final fabricated qualities, properties, etc., will be different when using different path strategies, even using the same AM machine and process parameters. Currently, increasing research studies have been published on path planning strategies with different aims. Due to the rapid development of path planning in AM and various newly proposed strategies, there is a lack of comprehensive reviews on this topic. Therefore, this paper gives a comprehensive understanding of the current status and challenges of AM path planning. This paper reviews and discusses path planning strategies in three categories: improving printed qualities, saving materials/time and achieving objective printed properties. The main findings of this review include: new path planning strategies can be developed by combining some of the strategies in literature with better performance; a path planning platform can be developed to help select the most suitable path planning strategy with required properties; research on path planning considering energy consumption can be carried out in the future; a benchmark model for testing the performance of path planning strategies can be designed; the trade-off among different fabricated properties can be considered as a factor in future path planning design processes; and lastly, machine learning can be a powerful tool to further improve path planning strategies in the future.

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“…In addition, the greatest relative error of the measured frequencies with respect to the desired frequencies in the topology optimization problem is less than 2.9%. Lin et al [ 16 ] proposed a simple yet versatile algorithm to produce isotropic products via optimizing the printing path. The workpiece was first separated into distinct areas in terms of the printing sequence, which increases the efficiency of the fabrication process.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Process Parameters for Fabricating Polylactic Acid Filaments Using Design of Experiments Approach

2021

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The amount of wasted polylactic acid (PLA) is increasing because 3D printing services are an increasingly popular offering in many fields. The PLA is widely employed in the fused deposition modeling (FDM) since it is an environmentally friendly polymer. However, failed prototypes or physical models can generate substantial waste. In this study, the feasibility of recycling PLA waste plastic and re-extruded it into new PLA filaments was investigated. An automatic PLA filament extruder was first developed for fabricating new PLA filaments. This paper also discusses the process, challenges, and benefits of recycling PLA waste plastic in an effort to fabricate new PLA filaments more sustainable. It was found that it was possible to fabricate PLA filament using recycled PLA waste plastic. The production cost is only 60% of the commercially available PLA filament. The tensile strength of the developed PLA filament is approximately 1.1 times that of the commercially available PLA filament. The design of experiments approach was employed to investigate the optimal process parameters for fabricating PLA filaments. The most important control factor affecting the diameter of PLA filament is the barrel temperature, followed by recycled material addition ratio, extrusion speed, and cooling distance. The optimal process parameters for fabricating PLA filament with a diameter of 1.7 mm include the barrel temperature of 184 °C, extrusion speed of 490 mm/min, cooling distance of 57.5 mm, and recycled material addition ratio of 40%.

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A maze-like path generation scheme for fused deposition modeling

Cited by 30 publications

References 40 publications

Additive manufacturing with fibre-reinforcement – design guidelines and investigation into the influence of infill patterns

Additive manufacturing with fibre-reinforcement – design guidelines and investigation into the influence of infill patterns

Path Planning Strategies to Optimize Accuracy, Quality, Build Time and Material Use in Additive Manufacturing: A Review

Optimization of Process Parameters for Fabricating Polylactic Acid Filaments Using Design of Experiments Approach

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