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Conference Paper A Turbidity Inspection Method to Enhance the Efficiency of the Post-Processing Cleaning Process in Additive Manufacturing Environments
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Authors
Hyun-Chul Kang, Chang-Beom Kim, Min-Gi Kim, Eun Seo Lee, Ji-Yeon Son
Issue Date
2024-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2024, pp.1391-1392
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC62082.2024.10826796
Abstract
Additive Manufacturing (AM) technology allows for the rapid production of complex-shaped parts., but post- processing is essential to address issues of surface quality and mechanical properties. Specifically., the cleaning process is crucial for improving part quality., requiring accurate monitoring of the cleaning solution's condition. Traditional methods like chemical analysis or periodic replacement are costly., complex., and inefficient. This paper proposes a turbidity inspection method using Multi-Scale Laplacian Variance (MSL V) to enhance the efficiency of the cleaning process in post- processing in Additive Manufacturing Environments.
KSP Keywords
Additive Manufacturing, Chemical analysis, Cleaning process, Cleaning solution, Mechanical properties(PMCs), Multi-scale, Part quality, Post-Processing, Rapid production, Surface quality, Traditional methods