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Conference Paper
Development of a Post-Processing Automation System to Increase the Efficiency of the Additive Manufacturing Process
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- Authors
- Min-Gi Kim, Hyun-Chul Kang, Chang-Beom Kim, Eun Seo Lee, Ji-Yeon Son
- Issue Date
- 2024-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2024, pp.1327-1328
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- With the rapid advancement of additive manufacturing technology, there is an increasing demand for the introduction of 3D printers and post-processing equipment into production processes. Consequently, the need for automation in post-processing is rising. However, due to the diversity and heterogeneity of materials and shapes in additive manufacturing products, automation faces limitations. Furthermore, post-processing steps such as printing, washing, drying, and curing are typically performed manually, making it difficult to maintain uniform quality for output of various sizes and shapes. Post-processing is a crucial stage that determines the final quality of additive manufacturing products by improving surface finish, dimensional accuracy, and mechanical properties. Manual post-processing is time-consuming, costly, and prone to human error, which makes it challenging to ensure consistent quality. Therefore, automation of the post-processing workflow is necessary to maintain uniform quality of printed products. This paper introduces an automated post-processing system that optimizes and controls the parameters of individual post-processing equipment based on the volume, mass, and material information of the printed products.
- KSP Keywords
- 3D Printer, Additive manufacturing process, Additive manufacturing technology, Automation System, Consistent quality, Dimensional accuracy, Human Error, Manual post-processing, Mechanical properties(PMCs), Post-processing system, Processing workflow