Experimental and Numerical Study of Printing Strategy Impact on the Mechanical Properties of Sustainable PLA Materials

Spišák, Emil; Nováková-Marcinčínová, Ema; Majerníková, Janka; Mulidrán, Peter; Nováková-Marcinčínová, Ľudmila

doi:10.3390/polym15244639

Cited by 2 publications

(2 citation statements)

References 39 publications

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“…Several research investigations have been focused on the improvement of AM processes and overcoming the limitations and challenges imposed by several factors and key parameters, such as the mechanical proprieties of raw materials [17][18][19][20], dimensional and geometrical tolerances [21,22], non-assembly mechanisms [23], build orientation [24][25][26][27], thermal behavior [20,28], and microstructural characterization [28].…”

Section: Related Workmentioning

confidence: 99%

“…This selected orientation determines the deposition plane according to the chosen axis. While the paper primarily focuses on the effects of adaptive slicing on part dimensional accuracy, it is worth noting that the chosen build orientation affects the dimensional accuracy of the produced part [37], the mechanical proprieties [27], and the manufacturing time and cost [38].…”

Section: File Preparationmentioning

confidence: 99%

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Minimizing Dimensional Defects in FFF Using a Novel Adaptive Slicing Method Based on Local Shape Complexity

Elayeb,

Tlija,

Eltaief

et al. 2024

JMMP

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Additive Manufacturing (AM) has emerged as an innovative technology that gives designers several advantages, such as geometric freedom of design and less waste. However, the quality of the parts produced is affected by different design and manufacturing parameters, such as the part orientation, the nozzle temperature and speed, the support material, and the layer thickness. In this context, the layer thickness is considered an important AM parameter affecting the part quality and accuracy. Thus, in this paper, a new adaptative slicing method based on the cusp vector and the surface deviation is proposed with the aim of minimizing the dimensional defects of FFF printed parts and investigate the impact on the dimensional part tolerancing. An algorithm is developed to automatically extract data from the STL file, select the build orientation, and detect intersection points between the initial slicing and the STL mesh. The innovation of this algorithm is exhibited via adapting the slicing according to the surface curvature based on two factors: the cusp vector and the surface deviation. The suggested slicing technique guarantees dimensional accuracy, especially for complex feature shapes that are challenging to achieve using a uniform slicing approach. Finally, a preview of the slicing is displayed, and the G-code is generated to be used by the FFF machine. The case study consists of the dimensional tolerance inspection of prototypes manufactured using the conventional and adaptive slicing processes. The proposed method’s effectiveness is investigated using RE and CMM processes. The method demonstrates its reliability through the observed potential for accuracy improvements exceeding 0.6% and cost savings of up to 4.3% in specific scenarios. This reliability is substantiated by comparing the resulting dimensional tolerances and manufacturing costs.

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Section: Related Workmentioning

confidence: 99%

Section: File Preparationmentioning

confidence: 99%

Minimizing Dimensional Defects in FFF Using a Novel Adaptive Slicing Method Based on Local Shape Complexity

Elayeb,

Tlija,

Eltaief

et al. 2024

JMMP

View full text Add to dashboard Cite

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PLA Double‐Spirals Offering Enhanced Spatial Extensibility

Jafarpour,

Gorb

2024

Macro Materials & Eng

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Inspired by natural spiral curves, this study aims to present a strategy to find a compromise between extensibility and load‐bearing capacity in structures made from polylactic acid (PLA) as a brittle material. Herein, four geometrically distinct double‐spiral modules are fabricated using a three‐dimensional (3D) printer and subjected to tension, in‐plane sliding, and out‐of‐plane sliding to assess both their in‐plane and out‐of‐plane mechanical performance. Subsequently, a modular spiral‐based metastructure is developed and tested under tension in two different directions. The results show that the maximum extension of the modules under different loading scenarios varies from 9 to 86 mm, while their load‐bearing capacity ranges between 18 and 78 N. These significant variations highlight the considerable influence of both geometry and loading conditions on the mechanical behavior of the double‐spiral modules. Moreover, the 250% horizontal and 130% vertical extensibility of the metastructure emphasize the importance of the spatial orientation of the modules in determining the efficiency of spiral‐based metastructures. This study suggests that double‐spirals with adjustable mechanical properties, if designed rationally, can offer a promising strategy to address the limited deformability of materials like PLA, and when arranged in specific spatial configurations, they can contribute to the development of energy‐dissipative metastructures with enhanced extensibility.

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Experimental and Numerical Study of Printing Strategy Impact on the Mechanical Properties of Sustainable PLA Materials

Cited by 2 publications

References 39 publications

Minimizing Dimensional Defects in FFF Using a Novel Adaptive Slicing Method Based on Local Shape Complexity

Minimizing Dimensional Defects in FFF Using a Novel Adaptive Slicing Method Based on Local Shape Complexity

PLA Double‐Spirals Offering Enhanced Spatial Extensibility

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