Research Article

DETERMINING OPTIMAL ROBOCASTING PROCESS PARAMETERS FOR ADDITIVE MANUFACTURING OF CERAMIC PARTS

Volume: 5 Number: 3 December 30, 2021
EN

DETERMINING OPTIMAL ROBOCASTING PROCESS PARAMETERS FOR ADDITIVE MANUFACTURING OF CERAMIC PARTS

Abstract

Additive Manufacturing (AM) is rapidly growing and widely used manufacturing technology for building up functional parts by metal, polymer, ceramic and their composites. Different AM methods have been developed for processing various materials in different feed stock such as filament, powder, resin, etc. Robocasting is one of the AM method for building up 3D ceramic based geometries. Although, the method most commonly used in biomedical industry for generating ceramic tissue scaffolds and artificial organs, it is also promising method for manufacturing industrial ceramic products such as bathtubs, sinks and vases. In this study, it is aimed to determine optimal process parameters for building up ceramic vase with high surface quality and dimensional accuracy. Nozzle diameter and material extrusion rate were changed in different levels and manufactured parts were inspected in terms of their dimensional accuracy and surface quality via precision measurement systems. The results revealed that, nozzle diameter and extrusion rate were important parameters and they have to be selected in accordance with each other for improving product quality.

Keywords

Thanks

The experiments and analysis were conducted at Kaleseramik Canakkale Kalebodur Seramik San. A.S. and Kalekalip Makine ve Kalip Sanayi A.S. The authors would like to thank for all the supports.

References

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Details

Primary Language

English

Subjects

Mechanical Engineering

Journal Section

Research Article

Publication Date

December 30, 2021

Submission Date

March 29, 2021

Acceptance Date

November 9, 2021

Published in Issue

Year 2021 Volume: 5 Number: 3

APA
Okyay, C., & Sağbaş, B. (2021). DETERMINING OPTIMAL ROBOCASTING PROCESS PARAMETERS FOR ADDITIVE MANUFACTURING OF CERAMIC PARTS. International Journal of 3D Printing Technologies and Digital Industry, 5(3), 435-444. https://doi.org/10.46519/ij3dptdi.904697
AMA
1.Okyay C, Sağbaş B. DETERMINING OPTIMAL ROBOCASTING PROCESS PARAMETERS FOR ADDITIVE MANUFACTURING OF CERAMIC PARTS. International Journal of 3D Printing Technologies and Digital Industry. 2021;5(3):435-444. doi:10.46519/ij3dptdi.904697
Chicago
Okyay, Cem, and Binnur Sağbaş. 2021. “DETERMINING OPTIMAL ROBOCASTING PROCESS PARAMETERS FOR ADDITIVE MANUFACTURING OF CERAMIC PARTS”. International Journal of 3D Printing Technologies and Digital Industry 5 (3): 435-44. https://doi.org/10.46519/ij3dptdi.904697.
EndNote
Okyay C, Sağbaş B (December 1, 2021) DETERMINING OPTIMAL ROBOCASTING PROCESS PARAMETERS FOR ADDITIVE MANUFACTURING OF CERAMIC PARTS. International Journal of 3D Printing Technologies and Digital Industry 5 3 435–444.
IEEE
[1]C. Okyay and B. Sağbaş, “DETERMINING OPTIMAL ROBOCASTING PROCESS PARAMETERS FOR ADDITIVE MANUFACTURING OF CERAMIC PARTS”, International Journal of 3D Printing Technologies and Digital Industry, vol. 5, no. 3, pp. 435–444, Dec. 2021, doi: 10.46519/ij3dptdi.904697.
ISNAD
Okyay, Cem - Sağbaş, Binnur. “DETERMINING OPTIMAL ROBOCASTING PROCESS PARAMETERS FOR ADDITIVE MANUFACTURING OF CERAMIC PARTS”. International Journal of 3D Printing Technologies and Digital Industry 5/3 (December 1, 2021): 435-444. https://doi.org/10.46519/ij3dptdi.904697.
JAMA
1.Okyay C, Sağbaş B. DETERMINING OPTIMAL ROBOCASTING PROCESS PARAMETERS FOR ADDITIVE MANUFACTURING OF CERAMIC PARTS. International Journal of 3D Printing Technologies and Digital Industry. 2021;5:435–444.
MLA
Okyay, Cem, and Binnur Sağbaş. “DETERMINING OPTIMAL ROBOCASTING PROCESS PARAMETERS FOR ADDITIVE MANUFACTURING OF CERAMIC PARTS”. International Journal of 3D Printing Technologies and Digital Industry, vol. 5, no. 3, Dec. 2021, pp. 435-44, doi:10.46519/ij3dptdi.904697.
Vancouver
1.Cem Okyay, Binnur Sağbaş. DETERMINING OPTIMAL ROBOCASTING PROCESS PARAMETERS FOR ADDITIVE MANUFACTURING OF CERAMIC PARTS. International Journal of 3D Printing Technologies and Digital Industry. 2021 Dec. 1;5(3):435-44. doi:10.46519/ij3dptdi.904697

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