Abstract
It is used for 3-dimensional (3D) production, which is called additive manufacturing, which emerged In the 1980s, with the inadequacy of traditional methods. Today, with the development of this technology, all kinds of geometry are produced rapidly. However, with 3D printing technology development, the problems are known as complexity have increased significantly. This situation made the fault analysis during the study a matter to be focused. User intervention is generally required in case of faulty in the parameters during printing using 3D printing technologies. The user must first observe whether there is any faulty and decide what to do. The study focused on automatic diagnostics to help the user diagnose the potential faulty and solve the problem. The data from the sensors belonging to the electronic card designed in the study were taken. The analog values were then read and analyzed, and the faulty conditions were checked according to the analysis. In the field of 3D printing technologies, a new approach has been presented by analyzing the data obtained in faulty analysis with the artificial intelligence method.
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Özsoy, K., Halis, H.D. (2021). Fault Analysis in the Field of Fused Deposition Modelling (FDM) 3D Printing Using Artificial Intelligence. In: Hemanth, J., Yigit, T., Patrut, B., Angelopoulou, A. (eds) Trends in Data Engineering Methods for Intelligent Systems. ICAIAME 2020. Lecture Notes on Data Engineering and Communications Technologies, vol 76. Springer, Cham. https://doi.org/10.1007/978-3-030-79357-9_54
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