Dimensional accuracy and surface finish of 3D printed polyurethane (PU) dog-bone samples optimally manufactured by fused deposition modelling (FDM)

Nugroho, Wendy Triadji; Dong, Yu; Pramanik, Alokesh

doi:10.1108/rpj-12-2021-0328

Cited by 23 publications

(14 citation statements)

References 40 publications

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“…The impacts of material formulation and 3D printing parameters such as HNT level, nozzle temperature, print speed, infill density and layer height on tensile properties, hardness and abrasion resistance of TPU/HNT nanocomposites were holistically investigated. Table 1 lists material formulation and 3D printing parameters selected based on our previous work [ 38 ] via Taguchi design of experiments (DoEs). The other 3D printing parameters were fixed in this study, as shown in Table 2 .…”

Section: Methodsmentioning

confidence: 99%

Co-Influence of Nanofiller Content and 3D Printing Parameters on Mechanical Properties of Thermoplastic Polyurethane (TPU)/Halloysite Nanotube (HNT) Nanocomposites

et al. 2023

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Thermoplastic polyurethane (TPU) belongs to a polyurethane family that possesses an elongation much higher than 300%, despite having low mechanical strength, which can be overcome by incorporating clay-based halloysite nanotubes (HNTs) as additives to manufacture TPU/HNT nanocomposites. This paper focuses on the co-influence of HNT content and 3D printing parameters on the mechanical properties of 3D printed TPU/HNT nanocomposites in terms of tensile properties, hardness, and abrasion resistance via fused deposition modelling (FDM). The optimum factor-level combination for different responses was determined with the aid of robust statistical Taguchi design of experiments (DoEs). Material characterisation was also carried out to evaluate the surface morphology, nanofiller dispersion, chemical structure, thermal stability, and phase behaviour corresponding to the DoE results obtained. It is evidently shown that HNT level and infill density play a significant role in impacting mechanical properties of 3D-printed TPU/HNT nanocomposites.

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Section: Methodsmentioning

confidence: 99%

Co-Influence of Nanofiller Content and 3D Printing Parameters on Mechanical Properties of Thermoplastic Polyurethane (TPU)/Halloysite Nanotube (HNT) Nanocomposites

et al. 2023

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“…However, considering the degree of freedom (DoF), as calculated using Eq. (1) [48] and level of factors, a L9-OA was selected, which requires only nine combinations to study the entire parameter set [49][50][51].…”

Section: Experimental Design Using Taguchi Orthogonal Approachmentioning

confidence: 99%

Impact of Process Parameters on Improving the Performance of 3D Printed Recycled Polylactic Acid (PLA) Components

Hasan,

Davies,

Pramanik

et al. 2023

Preprint

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The main goal of this research was to investigate the influence of additive manufacturing (AM) printing parameters on the mechanical properties and surface roughness of specimens fabricated using recycled polylactic acid (rPLA). In order to achieve this goal, significant printing parameters such as layer thickness, infill density, and nozzle temperature were selected based on prior research. A three-level L9 orthogonal array based on the Taguchi method was used in the experimental design. The mechanical properties of virgin PLA and recycled PLA printed specimens were examined and compared. To facilitate the analysis of variance (ANOVA) examination, the response data for mechanical and surface roughness parameters were transformed to signal-to-noise (S/N) ratios. The inspected responses under consideration were surface roughness, shore D hardness, tensile strength, flexural strength, and impact strength. The main findings suggested that careful consideration of the layer height was crucial for achieving optimum mechanical properties in recycled PLA specimens. Furthermore, the nozzle temperature also played an important factor that affected the mechanical and surface roughness properties of the 3D printed PLA specimens. Microscopic investigation demonstrated that the number and size of voids increased significantly when the layer thickness and temperature were low, namely 0.1 mm and 195 ℃, respectively. Finally, the optimal combination of printing parameters for each performance characteristic was determined. Following this, a confirmation test was performed using the preferred combination of parameters, which indicated a strong correlation with the outcomes predicted statistically. The results obtained from this study revealed that recycled PLA exhibited mechanical properties comparable to that of virgin PLA under certain conditions. In summary, the results of this study will serve as a valuable dataset in the field of additive manufacturing, providing valuable insights for other researchers working with recycled PLA material.

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“…Multiple studies [ 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 ] have explored how factors such as layer thickness, layer height, infill density, and other parameters affect the mechanical properties of these parts. Other studies [ 6 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 ] are investigating the influence of printing parameters on the dimensional accuracy of 3D-printed parts. Additionally, post-processing heat treatments can be used to further enhance the quality and performance of the printed parts [ 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 ].…”

Section: Introductionmentioning

confidence: 99%

Optimization of 3D Printing Parameters for Enhanced Surface Quality and Wear Resistance

et al. 2023

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In recent years, there has been a growing interest in the field of 3D printing technology. Among the various technologies available, fused deposition modeling (FDM) has emerged as the most popular and widely used method. However, achieving optimal results with FDM presents a significant challenge due to the selection of appropriate process parameters. Therefore, the objective of this research was to investigate the impact of process parameters on the tribological and frictional behavior of acrylonitrile butadiene styrene (ABS) and polylactic acid (PLA) 3D-printed parts. The design of experiments (DOE) technique was used considering the input design parameters (infill percentage and layer thickness) as variables. The friction coefficient values and the wear were determined by experimental testing of the polymers on a universal tribometer employing plane friction coupling. Multi-response optimization methodology and analysis of variance (ANOVA) were used to highlight the dependency between the coefficient of friction, surface roughness parameters, and wear on the process parameters. The optimization analysis revealed that the optimal 3D printing input parameters for achieving the minimum coefficient of friction and linear wear were found to be an infill percentage of 50% and layer thickness of 0.1 mm (for ABS material), and an infill percentage of 50%, layer thickness of 0.15 mm (for PLA material). The suggested optimization methodology (which involves minimizing the coefficient of friction and cumulative linear wear) through the optimized parameter obtained provides the opportunity to select the most favorable design conditions contributing to a more sustainable approach to manufacturing by reducing overall material consumption.

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Dimensional accuracy and surface finish of 3D printed polyurethane (PU) dog-bone samples optimally manufactured by fused deposition modelling (FDM)

Cited by 23 publications

References 40 publications

Co-Influence of Nanofiller Content and 3D Printing Parameters on Mechanical Properties of Thermoplastic Polyurethane (TPU)/Halloysite Nanotube (HNT) Nanocomposites

Co-Influence of Nanofiller Content and 3D Printing Parameters on Mechanical Properties of Thermoplastic Polyurethane (TPU)/Halloysite Nanotube (HNT) Nanocomposites

Impact of Process Parameters on Improving the Performance of 3D Printed Recycled Polylactic Acid (PLA) Components

Optimization of 3D Printing Parameters for Enhanced Surface Quality and Wear Resistance

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