Surface roughness and dimensional tolerances in A319 alloy samples produced by rapid investment casting process based on fused filament fabrication

Федоров, К. М.; Fayazbakhsh, Kazem; Ravindran, C.

doi:10.1007/s00170-021-08644-5

Cited by 6 publications

(2 citation statements)

References 27 publications

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“…The build angle and the layer thickness were revealed to be the parameters with the greatest impact. The 0° angle had the lowest surface roughness, which is consistent with the data provided by Federov et al [39]. The staircase effect, which is inherent to layer-by-layer printing methods and is more pronounced on sloping surfaces [1], can be utilized for clarifying phenomena.…”

Section: Sla-based Ic Parts: Surface Roughnesssupporting

confidence: 89%

Optimization of Dimensional Accuracy and Surface Roughness of SLA Patterns and SLA-Based IC Components

Mukhangaliyeva,

Dairabayeva,

Perveen

et al. 2023

Polymers

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Rapid investment casting is a casting process in which the sacrificial patterns are fabricated using additive manufacturing techniques, making the creation of advanced designs possible. One of the popular 3D printing methods applied in rapid investment casting is stereolithography because of its high dimensional precision and surface quality. Printing parameters of the used additive manufacturing method can influence the surface quality and accuracy of the rapid investment cast geometries. Hence, this study aims to investigate the effect of stereolithography printing parameters on the dimensional accuracy and surface roughness of printed patterns and investment cast parts. Castable wax material was used to print the sacrificial patterns for casting. A small-scale prosthetic biomedical implant for total hip replacement was selected to be the benchmark model due to its practical significance. The main results indicate that the most significant stereolithography printing parameter affecting surface roughness is build angle, followed by layer thickness. The optimum parameters that minimize the surface roughness are 0.025 mm layer thickness, 0° build angle, 1.0 support density index, and across the front base orientation. As for the dimensional accuracy, the optimum stereolithography parameters are 0.025 mm layer thickness, 30° build angle, 0.6 support density index, and diagonal to the front base orientation. The optimal printing parameters to obtain superior dimensional accuracy of the cast parts are 0.05 mm layer thickness, 45° build angle, 0.8 support density index, and diagonal to the front model base orientation. With respect to the surface roughness, lower values were obtained at 0.025 mm layer thickness, 0° build angle, 1.0 support density index, and parallel to the front base orientation.

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Section: Sla-based Ic Parts: Surface Roughnesssupporting

confidence: 89%

Optimization of Dimensional Accuracy and Surface Roughness of SLA Patterns and SLA-Based IC Components

Mukhangaliyeva,

Dairabayeva,

Perveen

et al. 2023

Polymers

View full text Add to dashboard Cite

show abstract

“…Nowadays, the cost of PVB filament is almost double the price of the most common PLA but is still rather low than that of Nylon and other engineering polymers. However, the print quality is excellent whilst keeping its printability and mechanical behaviour comparable to PLA [ 54 ]. Nevertheless, the lower glass transition temperature (Tg) of PVB implies low warping behaviour, plus the capacity of manufacturing bigger-sized components is possible with a not enclosed printer, alike PLA.…”

Section: Methodsmentioning

confidence: 99%

Production readiness assessment of low cost, multi-material, polymeric 3D printed moulds

Ferretti

Santi

Leon-Cardenas

et al. 2022

Heliyon

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Effects of process parameters on friability and surface quality in the rapid investment casting process

Федоров

Ravindran

Fayazbakhsh

2022

Int J Adv Manuf Technol

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Surface roughness and dimensional tolerances in A319 alloy samples produced by rapid investment casting process based on fused filament fabrication

Cited by 6 publications

References 27 publications

Optimization of Dimensional Accuracy and Surface Roughness of SLA Patterns and SLA-Based IC Components

Optimization of Dimensional Accuracy and Surface Roughness of SLA Patterns and SLA-Based IC Components

Production readiness assessment of low cost, multi-material, polymeric 3D printed moulds

Effects of process parameters on friability and surface quality in the rapid investment casting process

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