Validation of the Fdm-Based Additive Manufacturing Method for Rapid Prototyping Using the Example of the Eiffel Tower Model




Abstract:
Modern rapid prototyping techniques, enabled by computer-aided manufacturing, allow for the efficient and accurate materialization of highly complex 3D objects designed within CAD software environments. These methods significantly reduce manufacturing time and eliminate the need for extensive post-processing. Following the validation of a digital prototype within a CAD system, the physical model is manufactured using appropriate layer-by-layer rapid prototyping technologies, including additive, subtractive, formative, or hybrid manufacturing methods. This paper presented the use of commercial CAD tools for the modeling of geometrically complex 3D objects and their preparation for manufacturing via the Fused Deposition Modeling (FDM) additive manufacturing process. The Eiffel Tower model was selected as a representative example due to its complex structure and large dimensions. To facilitate the fabrication process, the model was divided into simpler, yet geometrically complex segments. The results demonstrate that the integration of CAD-based design with rapid prototyping techniques enables the production of large, detailed components with high dimensional accuracy and satisfactory surface quality.

CITATION:

IEEE format

D. Cvetković, N. Vorkapić, I. Cvetković, S. Trajković, A. Cvetković, “Validation of the Fdm-Based Additive Manufacturing Method for Rapid Prototyping Using the Example of the Eiffel Tower Model ,” in Sinteza 2025 - International Scientific Conference on Information Technology, Computer Science, and Data Science, Belgrade, Singidunum University, Serbia, 2025, pp. 303-308. doi:10.15308/Sinteza-2025-303-308

APA format

Cvetković, D., Vorkapić, N., Cvetković, I., Trajković, S., Cvetković, A. (2025). Validation of the Fdm-Based Additive Manufacturing Method for Rapid Prototyping Using the Example of the Eiffel Tower Model . Paper presented at Sinteza 2025 - International Scientific Conference on Information Technology, Computer Science, and Data Science. doi:10.15308/Sinteza-2025-303-308

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