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Between 3D Models and 3D Printers. Human- and AI-Based Methods Used in Additive Manufacturing Suitability Evaluations

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Human Interaction, Emerging Technologies and Future Systems V (IHIET 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 319))

Abstract

This paper presents the Additive Manufacturing (AM) evaluation methods and methodologies. A comparative analysis is conducted in order to categorize the methods according to different criteria. The comparison describes various approaches, along with their objectives and requirements. The emphasis is put on the aspects of automation and machine learning in the context of AM suitability evaluation. The aim of the article is to offer a high-level reference point for researchers who verify the potential of AM in the context of their studies or business activities. The comparison should facilitate the choice of an optimal, applicable method for identifying AM potential in a specific scenario. Additionally, the analysis offers an insight into the trends of the AM potential analysis methods, evaluating the role of AI and other aspects of Industry 4.0 in the field.

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Authors and Affiliations

  1. Department of Laser Technologies, Production Engineering and Automation, Wrocław University of Science and Technology, Łukasiewicza 5, 50-371, Wrocław, Poland

    Bolesław Telesiński

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  1. Bolesław Telesiński
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Correspondence to Bolesław Telesiński .

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Editors and Affiliations

  1. Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL, USA

    Tareq Ahram

  2. Campus du Moulin de la Housse, Université de Reims Champagne Ardenne GRESPI, Reims Cedex, France

    Redha Taiar

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Telesiński, B. (2022). Between 3D Models and 3D Printers. Human- and AI-Based Methods Used in Additive Manufacturing Suitability Evaluations. In: Ahram, T., Taiar, R. (eds) Human Interaction, Emerging Technologies and Future Systems V. IHIET 2021. Lecture Notes in Networks and Systems, vol 319. Springer, Cham. https://doi.org/10.1007/978-3-030-85540-6_70

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  • DOI: https://doi.org/10.1007/978-3-030-85540-6_70

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85539-0

  • Online ISBN: 978-3-030-85540-6

  • eBook Packages: EngineeringEngineering (R0)

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