Process planning for adaptive contour parallel toolpath in additive manufacturing with variable bead width

Xiong, Yi; Park, Sang‐In; Padmanathan, Suhasini; Dharmawan, Audelia Gumarus; Foong, Shaohui; Rosen, David W.; Soh, Gim Song

doi:10.1007/s00170-019-03954-1

Cited by 50 publications

(26 citation statements)

References 33 publications

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“…Ezair et al [25] proposed a volumetric covering print-path slicing for printing 3D models with superior properties (such as mechanical strength and surface finish). Currently, Xiong et al [26] proposed a process planning method for adaptive contour parallel toolpath in AM with variable bead widths. The reasons of carrying out the above studies are mainly because of that the slicing parameters in AM will influence the final printed properties and accuracy.…”

Section: Introductionmentioning

confidence: 99%

Line Width Mathematical Model in Fused Deposition Modelling for Precision Manufacturing

Jiang¹,

Xu²,

Rui³

et al. 2021

E3S Web Conf.

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Additive manufacturing is becoming increasingly popular because of its unique advantages, especially fused deposition modelling (FDM) which has been widely used due to its simplicity and comparatively low price. However, in current FDM processes, it is difficult to fabricate parts with highly accurate dimensions. One of the reasons is due to the slicing process of 3D models. Current slicing software divides the parts into layers and then lines (paths) based on a fixed value. However, in a real printing process, the printed line width will change when the process parameters are set in different values. The various printed widths may result in inaccuracy of printed dimensions of parts if using a fixed value for slicing. In this paper, a mathematical model is proposed to predict the printed line width in different layer heights. Based on this model, a method is proposed for calculating the optimal width value for slicing 3D parts. In the future, the proposed mathematical model can be integrated into slicing software to slice 3D models for precision additive manufacturing.

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Section: Introductionmentioning

confidence: 99%

Line Width Mathematical Model in Fused Deposition Modelling for Precision Manufacturing

Jiang¹,

Xu²,

Rui³

et al. 2021

E3S Web Conf.

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“…The proposed toolpath generation workflow is presented in Figure 3. [18], (b) island toolpath strategy [19], (c) hatch parallel toolpath strategy [19].…”

Section: Interlayer Bonding Part Strengthmentioning

confidence: 99%

Strength Enhancement in Fused Filament Fabrication via the Isotropy Toolpath

2021

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The fused filament fabrication (FFF) process deposits thermoplastic material in a layer-by-layer manner, expanding the design space and manufacturing capability compared with traditional manufacturing. However, the FFF process is inherently directional as the material is deposited in a layer-wise manner. Therefore, the in-plane material cannot reach the isotropy character when performing the tensile test. This would cause the strength of the print components to vary based on the different process planning selections (building orientation, toolpath pattern). The existing toolpaths, primarily used in the FFF process, are linear, zigzag, and contour toolpaths, which always accumulate long filaments and are unidirectional. Thus, this would create difficulties in improving the mechanical strength from the existing toolpath strategies due to the material in-plane anisotropy. In this paper, an in-plane isotropy toolpath pattern is generated to enhance the mechanical strength in the FFF process. The in-plane isotropy can be achieved through continuous deposition while maintaining randomized distribution within a layer. By analyzing the tensile strength on the specimens made by traditional in-plane anisotropy toolpath and the proposed in-plane isotropy toolpath, our results suggest that the mechanical strength can be reinforced by at least 20% using our proposed toolpath strategy in extrusion-based additive manufacturing.

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“…Infill distribution quality: A contemporary path planning strategy was proposed by Eiliat and Urbanic [ 29 , 30 , 31 ], to find optimal paths for achieving better infill quality without voids. Xiong et al [ 32 ] developed a variable bead width path planning method to manufacture void-free parts in a wire and arc AM process. In their strategy, the path planning process considers the possibility of changing bead width when fabricating.…”

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

214

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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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Process planning for adaptive contour parallel toolpath in additive manufacturing with variable bead width

Cited by 50 publications

References 33 publications

Line Width Mathematical Model in Fused Deposition Modelling for Precision Manufacturing

Line Width Mathematical Model in Fused Deposition Modelling for Precision Manufacturing

Strength Enhancement in Fused Filament Fabrication via the Isotropy Toolpath

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

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