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切削液與機械潤滑液狀態監測技術

Condition Monitoring Technology for Cutting Fluids and Machinery Lubrication

摘要


切削加工與機械設備運行時,潤滑油品質會隨著大量鐵屑產生或環境變化而下降,若潤滑不良可能造成加工品質下降或設備損壞等問題,因此近年來潤滑系統狀態監測在智慧製造中扮演重要角色。本文將以切削潤滑與機械潤滑兩大部分探討油品狀態監測技術,分別闡述切削液與設備潤滑液物理性質與品質之關係以及各感測器選擇原由。最後感測器資料皆由線上監測平台顯示,使用者能自定義警戒閾值,長期觀察各物理指標與油品品質之關係,建立補油或換油警告基準。

關鍵字

狀態監測 切削液 潤滑系統

並列摘要


During machining process or machinery operation, the lubricant quality will be degraded a large amount of debris and environmental changes. Poor lubrication may cause deterioration of machining quality or equipment damage. Therefore, in recent years, the condition monitoring of the lubrication system has played an important role in intelligent manufacturing. To describe the technology of lubrication condition monitoring clearly, this article will be separated into two parts which are cutting fluids and machining lubricants. The relationships between certain properties and qualities of lubricants will be discussed respectively. Also, the reasons for certain sensors were chosen will be explained. Finally, data from all the sensors will be demonstrated online the user interface of the lubrication condition monitoring platform, and then users will be able to set the alarm thresholds by themselves. With long-term data collection and observation, the warning basis for lubricant maintenance can be established.

參考文獻


S.Tangjitsitcharoen,“Monitoring of dry cutting and applications of cutting fluid,” Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology 224(2), 209-219., 2010
M. Stanford and P.M. Lister, “The future role of metalworking fluids in metal cutting operations,” Industrial Lubrication and Tribology 54(1), 11-19, 2002.
E. KUCHÁRIKOVÁ, and J. Peterka, “Cutting fluids management,” Research Papers of the Faculty of Material Science and Technology, 33-38, Slovak University of Technology, Bratislava, 2009
Čuma, Matúš, and Jozef Zajac, “The impact analysis of cutting fluids aerosols on working environment and contamination of reservoirs,” Tehnički vjesnik 19(2), 443-446, 2012
D. Li, and J. Zhe, “A high throughput inductive pulse sensor for online oil debris monitoring,” Tribology International 44(2), 175-179, 2011.

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