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Ontology of Lithography-Based Processes in Additive Manufacturing with Focus on Ceramic Materials

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Intelligent Computing & Optimization (ICO 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 371))

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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.

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Notes

  1. 1.

    In 2009 major patents for Fused Deposition Modeling (FDM) expired [2].

  2. 2.

    FDM is the same as FFF (Fused Filament Fabrication).

  3. 3.

    Transition ceramics are ceramics with elements of transition metal materials, but belonging in literature to ceramic materials [4].

  4. 4.

    Some manufacturers are the companies Lithoz, 3dCeram, Prodways, Admatec and Cubicure.

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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)

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Correspondence to Marc Gmeiner .

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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

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