Abstract
Additive manufacturing (AM) technologies are widely used to fabricate complex 3-dimensional objects more quickly and cost effectively than by subtractive manufacturing. Due to manifold options it is important to select the best suited process, technology, material and parameters for a successful print but the required knowledge is time-consuming to gather, combine and conclude correctly. Currently operators just analyse a CAD model using slicing software with limited support and knowledge provided, if a print is going to be successful. Consequently, the challenge is to gather and combine information from different fields of application into one knowledge source. Ontologies are increasingly used for a machine readable representation of domain knowledge. This paper presents an ontology with the focus on lithography-based ceramic manufacturing. In this context, multiple sources like experts’ knowledge, literature, guidelines and ontologies of other domains are revised and combined into one general concept. In further work, we aim to use the resulting ontology in a software for a printability analysis with an existing cloud manufacturing system.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
In 2009 major patents for Fused Deposition Modeling (FDM) expired [2].
- 2.
FDM is the same as FFF (Fused Filament Fabrication).
- 3.
Transition ceramics are ceramics with elements of transition metal materials, but belonging in literature to ceramic materials [4].
- 4.
Some manufacturers are the companies Lithoz, 3dCeram, Prodways, Admatec and Cubicure.
References
Bühler, P., Schlaich, P., Sinner, D., Stauss, A., Stauss, T.: Produktdesign: Konzeption - Entwurf - Technologie. Springer, Heidelberg (2019). https://doi.org/10.1007/978-3-662-55511-8
Attaran, M.: The rise of 3-D printing: the advantages of additive manufacturing over traditional manufacturing. Bus. Horiz. 60, 677–688 (2017). https://doi.org/10.1016/j.bushor.2017.05.011
Robles Martinez, P., Basit, A.W., Gaisford, S.: The history, developments and opportunities of stereolithography. In: Basit, A., Gaisford, S. (eds.) 3D Printing of Pharmaceuticals. AAPS Advances in the Pharmaceutical Sciences Series, vol. 31, pp. 55–79. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-90755-0_4
Salmang, H., Scholze, H.: Keramik. Ed. by Rainer Telle. 7th edn. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-49469-0, ISBN 978-3-540-63273-3
Schwentenwein, M., Schneider, P., Homa, J.: Lithography-based ceramic manufacturing: a novel technique for additive manufacturing of high-performance ceramics. Adv. Sci. Technol. 88, 60–64 (2014). https://doi.org/10.4028/www.scientific.net/AST.88.60
Gao, W., et al.: The status, challenges, and future of additive manufacturing in engineering. Comput.-Aided Des. 69 (2015). https://doi.org/10.1016/j.cad.2015.04.001
Guarino, N., Oberle, D., Staab, S.: What is an ontology? In: Staab, S., Studer, R. (eds.) Handbook on Ontologies. International Handbooks on Information Systems. Springer, Heidelberg, pp. 1–17 (2009). https://doi.org/10.1007/978-3-540-92673-3_0
Kumar, V.R.S., et al.: Ontologies for Industry 4.0. Knowl. Eng. Rev. 34, e17 (2019). https://doi.org/10.1017/S0269888919000109
Witherell, P., Lopez, F., Assouroko, I., Thompson, K.: Systems integration for additive manufacturing. NIST (2014). https://www.nist.gov/programs-projects/systems-integration-additivemanufacturing. Accessed 30 July 2021
iassouroko, 29 March 2021. Iassouroko/AMontology. https://github.com/iassouroko/AMontology. Accessed 15 Apr 2021
ISO/ASTM 52900(En): Additive Manufacturing - General Principles - Terminology, 11 May 2021. https://www.iso.org/obp/ui/#iso:std:iso-astm:52900:dis:ed-2:v1:en. Accessed 11 May 2021
Ali, M.M., Rai, R., Otte, J.N., Smith, B.: A product life cycle ontology for additive manufacturing. Comput. Ind. 105, 191–203 (2019). https://doi.org/10.1016/j.compind.2018.12.007
Ramírez-Durán, V.J., Berges, I., Illarramendi, A.: ExtruOnt: an ontology for describing a type of manufacturing machine for Industry 4.0 systems. Semant. Web 11(6), 887–909 (2020). https://doi.org/10.3233/SW-200376
Bale, C.W., Chartrand, P., Degterov, S.A.: FactSage thermochemical software and databases. Calphad 26(2), 189–228 (2002). https://doi.org/10.1016/S0364-5916(02)00035-4
An Ontology of Materials, 2 June 2021. http://www.dfki.uni-kl.de/~imcod/htdocs/Bernd/Paper/paper/paper.html. Accessed 02 June 2021
Ashino, T.: Materials ontology: an infrastructure for exchanging materials information and knowledge. Data Sci. J. - DATASCIENCE 9 (2010). https://doi.org/10.2481/dsj.008-041
Zhang, X., Pan, D., Zhao, C., Li, K.: MMOY: towards deriving a metallic materials ontology from Yago. Adv. Eng. Inform. 30(4), 687–702 (2016). https://doi.org/10.1016/j.aei.2016.09.002
European Materials and Modelling Ontology (EMMO): Emmo-Repo/EMMO. https://github.com/emmo-repo/EMMO. Accessed 06 Feb 2021
Musen, M.A.: The Protégé Project: a look back and a look forward. AI Matters 1(4), 4–12 (2015). https://doi.org/10.1145/2757001.2757003, ISSN 2372–3483, PMID 27239556
Mayerhofer, M., Lepuschitz, W., Hoebert, T., Merdan, M., Schwentenwein, M., Strasser, T.I.: Knowledge-driven manufacturability analysis for additive manufacturing. IEEE Open J. Ind. Electron. Soc. (2021). https://doi.org/10.1109/OJIES.2021.3061610
Hornbogen, E., Eggeler, G., Werner, E.: Werkstoffe: Aufbau und Eigenschaften von Keramik-, Metall-, Polymer- und Verbundwerkstoffen. 11, aktualisierte Auflage. Lehrbuch, vol. 596. Springer, Berlin (2017). ISBN 978-3-642-53867-4 978-3-642-53866-7
Briehl, H.: Chemie der Werkstoffe. Springer, Heidelberg (2021). https://doi.org/10.1007/978-3-662-63297-0
Weißbach, W., Dahms, M., Jaroschek, C.: Werkstoffe und ihre Anwendungen. Springer, Wiesbaden (2018). https://doi.org/10.1007/978-3-658-19892-3, ISBN 978-3-658-19891-6 978-3-658-19892-3. Accessed 05 May 2021
Bargel, H.-J., Schulze, G. (eds.): Werkstoffkunde 12, bearbeiteteAuflage, korrigierter Nachdruck, 531 pp. Springer, Berlin (2018). ISBN 978-3-662-48629-0978-3-662-48628-3
GraphDB by Ontotext. https://graphdb.ontotext.com/. Accessed 20 Apr 2021
Gkoutos, G.V., Schofield, P.N., Hoehndorf, R.: The units ontology: a tool for integrating units of measurement in science. Datab. J. Biol. Datab. Curation (2012). https://doi.org/10.1093/database/bas033, PMID 23060432
Lepuschitz, W., Trautner, T., Mayerhofer, M., Merdan, M.: Applying ontologies in a cloud manufacturing system. In: IECON 2019–45th Annual Conference of the IEEE Industrial Electronics Society, vol. 1, pp. 2928–2933 (2019). https://doi.org/10.1109/IECON.2019.8927535
Acknowledgement
The authors acknowledge the financial support from the Vienna Business Agency in the frame of the “Research” program for the project ANALYTIC (proposal ID 2783347)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Gmeiner, M., Lepuschitz, W., Merdan, M., Lackner, M. (2022). Ontology of Lithography-Based Processes in Additive Manufacturing with Focus on Ceramic Materials. In: Vasant, P., Zelinka, I., Weber, GW. (eds) Intelligent Computing & Optimization. ICO 2021. Lecture Notes in Networks and Systems, vol 371. Springer, Cham. https://doi.org/10.1007/978-3-030-93247-3_89
Download citation
DOI: https://doi.org/10.1007/978-3-030-93247-3_89
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-93246-6
Online ISBN: 978-3-030-93247-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)