Optimization of FDM process parameters for tensile properties of polylactic acid specimens using Taguchi design of experiment method

Heidari-Rarani, M.; Ezati, N; Sadeghi, Peyman; Badrossamay,

doi:10.1177/0892705720964560

Cited by 130 publications

(88 citation statements)

References 35 publications

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“…PLA (polylactide) is a material used commonly in FDM 3D printers. 40,41 Thus, the PLA material properties are used in this study which provides the feasibility of comparing the present results with the experimental results in the future. The material properties of PLA for the core and face sheets are ρ = 1040 kg/m 3 , E = 2.6 GPa, ν = 0.35.…”

Section: Numerical Resultsmentioning

confidence: 99%

A novel graded auxetic honeycomb core model for sandwich structures with increasing natural frequencies

Zamani

Heidari-Rarani

Torabi

2021

Jnl of Sandwich Structures & Materials

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A novel angle graded auxetic honeycomb (AGAH) core is designed for sandwich structures in the present study. The angle of the cells is varied through the thickness of the AGAH core using linear functions. Therefore, the thickness of the cell walls is kept constant along the gradation of the cell angle, and the length of the cell walls is changed through the core thickness as the result of angle variation. New analytical relations are proposed to predict the equivalent elastic properties of the AGAH core. The performance of the new proposed core is analytically assessed for the vibrational behavior of a sandwich plate. The governing equations are deduced adopting Hamilton’s principle under the assumption of quasi-3D exponential plate theory. Three-dimensional finite element (3D-FE) simulation is accomplished to verify the analytical results of the vibrational response of the sandwich structure. The influence of variation of the cell wall, the cell angle and cell aspect ratio of AGAH core, and geometric parameters of the sandwich structure are investigated on the vibration response of the sandwich panel. The present graded design of the auxetic honeycomb enhances the specific stiffness (i.e., stiffness to density ratio) and consequently increases the natural frequencies of sandwich structures with this type of core.

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Section: Numerical Resultsmentioning

confidence: 99%

A novel graded auxetic honeycomb core model for sandwich structures with increasing natural frequencies

Zamani

Heidari-Rarani

Torabi

2021

Jnl of Sandwich Structures & Materials

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“…Design of Experiments (DOE) is a systematic approach for determining the effect of input process parameters on a single or set of output responses in the setting of process parameter optimization. Several DOE approaches have been utilized to optimize the process parameters of the FFF system, including the Taguchi method, analysis of variance (ANOVA), complete factorial designs, bacterial foraging technique, and fuzzy logic because many parameters might impact the printing process, the default configuration of printing process parameters provided by manufacturers cannot guarantee the quality of printed products [32]. Extensive research is being conducted to determine the impact of various FFF process parameters on the different responses [33][34][35][36].…”

Section: Design Of Experiments (Doe)mentioning

confidence: 99%

Optimization of FFF Processing Parameters to Improve Geometrical Accuracy and Mechanical Behavior of Polyamide 6 Using Grey Relational Analysis (GRA)

Shakeria

Benfriha

Zirak

et al. 2021

Preprint

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One of the most widely used additive manufacturing (AM) methods is Fused Filament Fabrication (FFF), which can produce complex geometry parts. In this process, a continuous filament of thermoplastic material is deposited layer by layer to make the final piece. One of the essential goals in the production of parts with this method is to produce parts with high mechanical properties and excellent geometrical accuracy at the same time. Among the various methods used to improve the desired properties of produced parts is to determine the optimum process parameters in this process. This paper investigates the effect of different process parameters on four essential parameters: chamber temperature, Printing temperature, layer thickness, and print speed on cylindricity, circularity, strength, Young’s modulus, and deformation by Gray Relational Analysis method simultaneously. Taguchi method was used to design the experiments, and the PA6 cylindrical parts were fabricated using a German RepRap X500® 3D printer. Then the GRG values were calculated for all experiments. In the 8th trial, the highest value of GRG was observed. Then, to discover the optimal parameters, the GRG data were analyzed using ANOVA and S/N analysis, and it was determined that the best conditions for enhancing GRG are 60 °C in the chamber temperature, 270 °C in the printing temperature, 0.1 mm layer thickness, and 600 mm/min print speed. Finally, by using optimal parameters, a verification test was performed, and new components were investigated. Finally, by comparing the initial GRG with the GRG of the experiment, it was discovered that the GRG value had improved by 14%.

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“…In particular, 3D printing has seen commercial success in the realm of hobbyists and industrial prototyping fields, even reaching the heights of aerospace industries [ 1 ]. The usual material that 3D printing utilizes is thermoplastics, with Polylactic Acid (PLA) being the most prevalent one, due to their nature to become fluid at extreme heat and cool instantly at room temperature [ 2 , 3 ]. Recently, there have been studies on using various material such as silicone rubber, for additive manufacturing technology [ 4 , 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

A Parametric Study for Tensile Properties of Silicone Rubber Specimen Using the Bowden-Type Silicone Printer

et al. 2022

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Silicone printing can enable a lot more accessibility and customizability towards utilizing silicone in different applications, including medicine for its biocompatibility. However, challenges existed for printing in specific geometries due to the lack of guidelines and studies on the mechanical properties. To support the understanding of printing three-dimensional silicone structure having different infill patterns and gel-like material, this paper conducted a parametric study for the specimens printed using a Bowden-type silicone printer and measurements of the tensile properties. Four printing parameters of print speed, infill density, flow rate, and infill pattern, are categorized following the Taguchi L9 method, and arranged into the four-parameter-three-level orthogonal array. The signal-to-noise (S/N) ratio was calculated based on the principle of the-larger-the-better, and analysis of variance (ANOVA) was also obtained. Tensile performance was further discussed with the characterization of internal structure, using the cross-sections of the printed specimens. It was found that the change of flow rate is the most significant to the tensile stress; and for the tensile strain, infill pattern was found to be the most significant parameter. The Line infill pattern consistently presented the highest tensile stress. Agglomeration can be seen inside the printed structure, hence optimal printing parameters play an important role for complicated geometry, while ensuring the flow rate and infill density do not exceed a reasonable value. This study would serve as the guideline for printing three-dimensional silicone structures.

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Optimization of FDM process parameters for tensile properties of polylactic acid specimens using Taguchi design of experiment method

Cited by 130 publications

References 35 publications

A novel graded auxetic honeycomb core model for sandwich structures with increasing natural frequencies

A novel graded auxetic honeycomb core model for sandwich structures with increasing natural frequencies

Optimization of FFF Processing Parameters to Improve Geometrical Accuracy and Mechanical Behavior of Polyamide 6 Using Grey Relational Analysis (GRA)

A Parametric Study for Tensile Properties of Silicone Rubber Specimen Using the Bowden-Type Silicone Printer

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