전해가공 전해액의 최대 사용 수명 분석을 통한 폐기물 저감 연구
Abstract
This study aims to analyze the maximum service life of electrolytes used in Electrochemical Machining (ECM) to minimize chemical waste. In ECM processes, electrolytes are often discarded prematurely due to the absence of clear guidelines, resulting in increased waste and operational costs. To address this issue, a monitoring system equipped with pH, turbidity, temperature, and conductivity sensors was developed to measure electrolyte conditions in real time. The collected data was analyzed to determine the point at which the electrolyte can no longer be effectively used without compromising machining quality. The findings provide valuable insights into extending the electrolyte’s usage period, thereby reducing waste and enhancing the sustainability of ECM operations. This research contributes to improving resource efficiency and promoting environmentally friendly manufacturing practices.
Keywords:
Electrochemical machining (ECM), Electrolyte service life, Waste reduction, Electrolyte monitoring, Sustainable manufacturingReferences
- Kim, J. Y., Choi, S. G., Lee, E. S., 2019, Analysis of Machining Shape and Characteristics through Electro Chemical Fusion Process, Proc. Korean Soc. Manuf. Technol. Eng. Spring Conf., 47.
- Jeon, D. H., Kim, B. H., Chu, C. N., 2006, Micro Machining by EDM and ECM, Journal of the Korean Society for Precision Engineering, 23:10 52-59.
-
Gong, W., Dong, H., Zhou, J., Qiu, Y., Chen, C., You, P., 2022, Research Progress of Electrical Discharge and Electrochemical Hybrid Machining Technology, Proceedings of the 2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM), 269-275.
[https://doi.org/10.1109/WCMEIM56910.2022.10021416]
-
Tang, L., Feng, X., Huang, T. Q., Liu, J., Zhang, J. J., Lei, Q. B., Wang, Z., 2019, Research on the Combined Electrochemical Machining and Electrical Discharge Machining Technology for Closed IntegerImpeller, Int. J. Adv. Manuf. Technol., 102 3419-3429.
[https://doi.org/10.1007/s00170-018-03231-7]
- Lee, E. S., Kim, C. K., 2003, A Study on Machining Characteristics of the Electropolishing of Aluminum Alloy, J. Korean Soc. Manuf. Technol. Eng., 12:2 17-22.
- Jang, S. H., Choi, S. G., Kim, S. H., Lee, E. S., 2022, A Study on the Improvement of Surface Roughness by Rotation of Workpieces through Dynamic Analysis of Electrochemical polishing, Proc. Korean Soc. Prec.ision Eng. Autumn Conf., 5.
-
Luan, X., Zhang, S., Li, G., 2018, Modified Power Prediction Model Based on Infinitesimal Cutting Force During Face Milling Process, Int. J. of Precis. Eng. and Manuf.-Green Tech., 5 71-80.
[https://doi.org/10.1007/s40684-018-0008-7]
- Choi, S. G., 2020, Study on Precision Electrochemical Machining Characteristics Based on Deep Learning, Doctorate Thesis, Inha University, Republic of Korea.
Ph. D. Candidate in the Department of Mechanical Engineering, Inha University. His research interest is System Analysis.
E-mail: 222191500@inha.edu
Ph. D. Student in the Department of Mechanical Engineering, Inha University. His research interest is Electro Chemistry.
E-mail: preferjang@inha.edu
Ph. D. in the KIURI Center for Hydrogen Based Next Generation Mechanical System, Inha University. His research interest is Mechanical Design.
E-mail: choisg@inha.ac.kr
Professor in the Department of Mechanical Engineering, Inha University. His research interest is Electrochemical Polishing.
E-mail: leees@inha.ac.kr