Optimizing additive manufacturing parameters for the fused deposition modeling technology using a design of experiments

Durão, Luiz Fernando C. S.; Barkoczy, Richard; Zancul, Eduardo de Senzi; Ho, Linda Lee; Bonnard, Renan

doi:10.1007/s40964-019-00075-9

Cited by 45 publications

(24 citation statements)

References 26 publications

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“…The selection of the printing parameters can notably affect the mechanical properties of the 3D printed parts [7,10,21,25,29,33]. Those related to the layer deposition process (e.g., layer height, infill density, infill pattern, width and number of perimeters, etc.)…”

Section: Methodsmentioning

confidence: 99%

Experimental Investigation on the Effect of Carbon Fiber Reinforcements in the Mechanical Resistance of 3D Printed Specimens

2021

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In the last years, fiber-reinforced polymer composites have been under study for additive manufacturing. For this purpose, it is important to assess the behavior of these materials in terms of mechanical properties. The present experimental study evaluates the mechanical resistance of both PLA and carbon fiber reinforced PLA. The work used a full factorial Design of Experiments (108 tests) selecting as factors the infill density, infill pattern, material, number of perimeters and printing orientation. The main results highlight that the most influential factors on the tensile strength are both type of material and number of perimeters. In this study, the use of reinforcements did not improve the mechanical resistance attained by the corresponding virgin material. Particularly, for some selected specimens, the porosity measured in the fracture section is larger for the reinforced PLA specimens, so they showed a smaller cross-section.

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Section: Methodsmentioning

confidence: 99%

Experimental Investigation on the Effect of Carbon Fiber Reinforcements in the Mechanical Resistance of 3D Printed Specimens

2021

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“…This is also the case in the work of Gomez-Gras et al [26] and Camposeco-Negrete [23], where the aim is to optimize the additive manufacturing process FDM regarding certain parameters such as layer thickness, fill density, fill structure, etc. Other works worth mentioning in this context are those of Durão et al [27] and Zandi et al [28] who followed a similar approach using the Taguchi method to optimize the FDM additive manufacturing process.…”

Section: Methodsmentioning

confidence: 99%

Process parameter determination for small recycling plants for the production of filament for FFF printing using the Taguchi method

et al. 2021

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With the increasing use of the filament fabrication process, the in-house production of filament and the recycling of PLA waste is becoming more and more important. Small desktop filament extruders with associated peripherals enable small businesses and private users to carry out these recycling processes. Determing the right process parameters is of crucial importance here. These are usually only issued by the polymer manufacturer and the machine manufacturer. However, the development of own process parameters is important for new polymer compounds, as well as polymers with unknown manufacturers, as is typical in recycling. The common Taguchi method, which is used for process optimisation within the FFF process, was also used in this article to produce improved parameter sets for the production of filament using a single screw extruder (3devo Precision) with four heating zones. In this experimental field, the Taguchi method did not prove promising. Due to the small dimensions and compact design of such desktop filament extrusion machines, it was found that the setting parameters cannot be considered independently. The main parameters influencing the process were identified as the extruder screw speed, the cooling capacity and the temperature of the heating coil at the hopper. Nevertheless, parameter sets for PLA pellets and recycled PLA could be developed which have a better performance in terms of homogeneity of the diameter over time compared to the previously available parameter sets.

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“…Falhas podem acontecer inicialmente por um arquivo de impressão mal formado levando a desperdício de material, tempo e danos potenciais causados na impressora impactando no custo de produção (GOPSILL; HICKS, 2018). Os fatores que causam maior probabilidade de influência na qualidade da impressão 3D, são a velocidade de impressão e o número de contornos da peça a ser impressa (DURÃO et al, 2019).…”

Section: Problema De Qualidade E Desperdíciounclassified

“…Para minimizar o consumo de material, tempo de impressão e precisão dimensional da peça é necessário o nivelamento da superfície (DURÃO et al, 2019). Para obter uma superfície lisa e bem acabada, a espessura das camadas e a velocidade de extrusão devem ser elevadas e a largura de estrada (caminho de filamento depositado) ter níveis baixos (ANITHA; ARUNACHALAM; RADHAKRISHNAN, 2001).…”

Section: Problema De Qualidade E Desperdíciounclassified

Aumento de disponibilidade de máquina onduladeira com manutenção preditiva através de sensores inteligentes, computação em nuvem e conceitos da indústria 4.0

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Antonio²

2020

Gestão Da Produção Em Foco - Volume 41

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Optimizing additive manufacturing parameters for the fused deposition modeling technology using a design of experiments

Cited by 45 publications

References 26 publications

Experimental Investigation on the Effect of Carbon Fiber Reinforcements in the Mechanical Resistance of 3D Printed Specimens

Experimental Investigation on the Effect of Carbon Fiber Reinforcements in the Mechanical Resistance of 3D Printed Specimens

Process parameter determination for small recycling plants for the production of filament for FFF printing using the Taguchi method

Aumento de disponibilidade de máquina onduladeira com manutenção preditiva através de sensores inteligentes, computação em nuvem e conceitos da indústria 4.0

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