Yıl: 2021 Cilt: 5 Sayı: 3 Sayfa Aralığı: 435 - 444 Metin Dili: İngilizce DOI: 10.46519/ij3dptdi.904697 İndeks Tarihi: 29-07-2022

DETERMINING OPTIMAL ROBOCASTING PROCESS PARAMETERS FOR ADDITIVE MANUFACTURING OF CERAMIC PARTS

Öz:
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.
Anahtar Kelime: Robocasting Additive manufacturing Surface Quality Dimensional Accuracy Ceramic

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
  • 1. Francisco J. M. and Antonia P. and Pedro M., “A Simple Graphite-Based Support Material for Robocasting of Ceramic Parts”, Journal of the European Ceramic Society, Vol. 38, Issue 4, Pages 2247-2250, 2018.
  • 2. Bandyopadhyay, A. and Bose, S., “Additive Manufacturing”, Pages 1-5, CRC Press, Taylor & Francis Group, LLC., Boca Raton, FL, 2016.
  • 3. Sagbas, B., "An Overview of Additive Manufacturing Methods for Biomedical Applications", Athens: ATINER'S Conference Paper Series, No: MEC2017-2378, Pages 1-15, 2018.
  • 4. Sagbas, B., Gencelli, G. & Sever, A., “Effect of Process Parameters on Tribological Properties of Ti6Al4V Surfaces Manufactured by Selective Laser Melting”, Journal of Materials Engineering and Performance, Vol. 30, Issue 8, Pages 1-8, 2021.
  • 5. Sagbas, B., “Post-processing effects on surface properties of direct metal laser sintered AlSi10Mg parts”, Metals and Materials International, Vol. 26, Issue 1, Pages 143-153, 2020.
  • 6. Revilla, R. I., Van Calster, M., Raes, M., Arroud, G., Andreatta, F., Pyl, L., ... & De Graeve, I., “Microstructure and corrosion behavior of 316L stainless steel prepared using different additive manufacturing methods: A comparative study bringing insights into the impact of microstructure on their passivity”, Corrosion Science, Vol. 176, 108914, 2020.
  • 7. Zhao, Y., Li, K., Gargani, M., & Xiong, W., “A comparative analysis of Inconel 718 made by additive manufacturing and suction casting: Microstructure evolution in homogenization”, Additive Manufacturing, Vol. 36, 101404, 2020.
  • 8. Sagbas, B., “Surface texture characterization and parameter optimization of fused deposition modelling process”, Düzce Üniversitesi Bilim ve Teknoloji Dergisi, Vol. 6, Issue 4, Pages 1028-1037, 2018.
  • 9. Sagbas, B., “Effect of Orientation Angle on Surface Quality and Dimensional Accuracy of Functional Parts Manufactured by Multi Jet Fusion Technology”, European Mechanical Science, Vol. 4, Issue 2, Pages 47- 52, 2020.
  • 10. Erwin P. and Danwei Z. and Jun D., “Ceramic Robocasting: Recent Achievements, Potential, and Future Developments”, Advanced Materials, Vol. 30, Issue 47, 1802404, 2018.
  • 11. Dietemann, B., Bosna, F., Lorenz, M., Travitzky, N., Kruggel-Emden, H., Kraft, T., & Bierwisch, C., “Modeling robocasting with smoothed particle hydrodynamics: Printing gap-spanning filaments”, Additive Manufacturing, Vol. 36, 101488, 2020.
  • 12. Gibson,I. and Rosen, D. and Stucker, B., “Additive Manufacturing Technologies Rapid Prototyping to Direct Digital Manufacturing, First Edition, Springer US, New York, 2010.
  • 13. Deckers, J. and Vleugels, J. and Kruth, J., “Additive Manufacturing of Ceramics: A Review”, Journal of Ceramic Science and Technology, Vol. 05, Issue 04, Pages 245-260, 2014.
  • 14. Feilden, E., “Additive Manufacturing of Ceramics and Ceramic Composites via Robocasting”, Ph.D Thesis, Imperial College London, Sep 2017,
  • 15. Eqtesadi, S., Motealleh, A., Perera, F. H., Miranda, P., Pajares, A., Wendelbo, R., ... & Ortiz, A. L., “Fabricating geometrically-complex B4C ceramic components by robocasting and pressureless spark plasma sintering”, Scripta Materialia, Vol. 145, Pages 14-18, 2018.
  • 16. Ozkan, I., “Characteristics and Ceramic Properties of Turgutlu Clay”, 6th International Congress & Exhibition (APMAS2016), Acta Physica Polonica A, Vol. 131, Pages 7-9, Istanbul, 2016.
  • 17. Carlova V., “Ceramic 3D Printing: A Revolution within Additive Manufacturing?”, https://www.3dnatives.com/en/ceramic-3d-printing-170420194/, April 16, 2019. Access date: 20 March 2021.
  • 18. Paterlini, A., Grill, S., Brouillet, F., Combes, C., Grossin, D., & Bertrand, G., “Robocasting of self-setting bioceramics: from paste formulation to 3D part characteristics”, Open Ceramics, Vol. 5, 100070, 2021.
  • 19. Tabard, L., Garnier, V., Prud’Homme, E., Courtial, E. J., Meille, S., Adrien, J., ... & Gremillard, L., “Robocasting of Highly Porous Ceramics Scaffolds with Hierarchized Porosity”, Additive Manufacturing, Vol. 38, 101776, 2021.
  • 20. Lei, L., Wei, Y., Wang, Z., Han, J., Sun, J., Chen, Y., ... & Gou, Z., “Core–Shell Bioactive Ceramic Robocasting: Tuning Component Distribution Beneficial for Highly Efficient Alveolar Bone Regeneration and Repair”, Acs Biomaterials Science & Engineering, Vol. 6, Issue 4, Pages 2376-2387, 2020.
  • 21. Schlordt, T., Keppner, F., Travitzky, N., & Greil, P., “Robocasting of alumina lattice truss structures”, Journal of Ceramic Science and Technology, Vol. 3, Issue 2, Pages 81-87, 2012.
  • 22. Lorenz, M., Dietemann, B., Wahl, L., Bierwisch, C., Kraft, T., Kruggel-Emden, H., & Travitzky, N., “Influence of platelet content on the fabrication of colloidal gels for robocasting: Experimental analysis and numerical simulation”, Journal of the European Ceramic Society, Vol. 40, Issue 3, Pages 811-825, 2020.
  • 23. Wahl, L., Weichelt, M., Goik, P., Schmiedeke, S., & Travitzky, N., “Robocasting of reaction bonded silicon carbide/silicon carbide platelet composites”, Ceramics International, Vol. 47, Issue 7, Pages 9736-9744, 2020.
  • 24. Feilden, E., “Additive Manufacturing of Ceramics and Ceramic Composites via Robocasting”, PhD., Imperial College London, London, 2017.
  • 25. Sevim S., & Tutas V., “Üç Boyutlu Yazıcıların Çağdaş Seramik Sanatına Yansıması”, Sanat ve Tasarım Dergisi, Issue 26, Pages 627-645, 2020
  • 26. Veteška, P., Hajdúchová, Z., Feranc, J., Tomanová, K., Milde, J., Kritikos, M., ... & Janek, M. “Novel composite filament usable in low-cost 3D printers for fabrication of complex ceramic shapes”, Applied Materials Today, 22, 100949, 2021.
  • 27. Hakan E., & Can E., “Bilgisayar Destekli Seramik Üretim Yöntemi Olarak Üç Boyutlu Yazıcılar ve Günümüz Koşullarında Uygulama Örneği”, Sanat ve Tasarım Dergisi, Vol. 6, Issue 1, Pages 1 – 15, 2016.
  • 28. Hu F., Mikolajczyk T., Pimenov D., & Gupta M., “Extrusion-Based 3D Printing of Ceramic Pastes: Mathematical Modeling and In Situ Shaping Retention Approach”, Materials, Vol. 14, Issue 5, Pages 1137, 2021.
APA Okyay C, Sagbas B (2021). DETERMINING OPTIMAL ROBOCASTING PROCESS PARAMETERS FOR ADDITIVE MANUFACTURING OF CERAMIC PARTS. , 435 - 444. 10.46519/ij3dptdi.904697
Chicago Okyay Cem,Sagbas Binnur DETERMINING OPTIMAL ROBOCASTING PROCESS PARAMETERS FOR ADDITIVE MANUFACTURING OF CERAMIC PARTS. (2021): 435 - 444. 10.46519/ij3dptdi.904697
MLA Okyay Cem,Sagbas Binnur DETERMINING OPTIMAL ROBOCASTING PROCESS PARAMETERS FOR ADDITIVE MANUFACTURING OF CERAMIC PARTS. , 2021, ss.435 - 444. 10.46519/ij3dptdi.904697
AMA Okyay C,Sagbas B DETERMINING OPTIMAL ROBOCASTING PROCESS PARAMETERS FOR ADDITIVE MANUFACTURING OF CERAMIC PARTS. . 2021; 435 - 444. 10.46519/ij3dptdi.904697
Vancouver Okyay C,Sagbas B DETERMINING OPTIMAL ROBOCASTING PROCESS PARAMETERS FOR ADDITIVE MANUFACTURING OF CERAMIC PARTS. . 2021; 435 - 444. 10.46519/ij3dptdi.904697
IEEE Okyay C,Sagbas B "DETERMINING OPTIMAL ROBOCASTING PROCESS PARAMETERS FOR ADDITIVE MANUFACTURING OF CERAMIC PARTS." , ss.435 - 444, 2021. 10.46519/ij3dptdi.904697
ISNAD Okyay, Cem - Sagbas, Binnur. "DETERMINING OPTIMAL ROBOCASTING PROCESS PARAMETERS FOR ADDITIVE MANUFACTURING OF CERAMIC PARTS". (2021), 435-444. https://doi.org/10.46519/ij3dptdi.904697
APA Okyay C, Sagbas 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. 10.46519/ij3dptdi.904697
Chicago Okyay Cem,Sagbas Binnur DETERMINING OPTIMAL ROBOCASTING PROCESS PARAMETERS FOR ADDITIVE MANUFACTURING OF CERAMIC PARTS. International Journal of 3D Printing Technologies and Digital Industry 5, no.3 (2021): 435 - 444. 10.46519/ij3dptdi.904697
MLA Okyay Cem,Sagbas Binnur DETERMINING OPTIMAL ROBOCASTING PROCESS PARAMETERS FOR ADDITIVE MANUFACTURING OF CERAMIC PARTS. International Journal of 3D Printing Technologies and Digital Industry, vol.5, no.3, 2021, ss.435 - 444. 10.46519/ij3dptdi.904697
AMA Okyay C,Sagbas 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. 10.46519/ij3dptdi.904697
Vancouver Okyay C,Sagbas 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. 10.46519/ij3dptdi.904697
IEEE Okyay C,Sagbas B "DETERMINING OPTIMAL ROBOCASTING PROCESS PARAMETERS FOR ADDITIVE MANUFACTURING OF CERAMIC PARTS." International Journal of 3D Printing Technologies and Digital Industry, 5, ss.435 - 444, 2021. 10.46519/ij3dptdi.904697
ISNAD Okyay, Cem - Sagbas, Binnur. "DETERMINING OPTIMAL ROBOCASTING PROCESS PARAMETERS FOR ADDITIVE MANUFACTURING OF CERAMIC PARTS". International Journal of 3D Printing Technologies and Digital Industry 5/3 (2021), 435-444. https://doi.org/10.46519/ij3dptdi.904697