Design of Real-Time Monitoring System for Cutting Fluids
Author:
Jurina Frantisek1, Peterka Jozef1ORCID, Vozar Marek1, Patoprsty Boris1, Vopat Tomas1ORCID
Affiliation:
1. Institute of Production Technologies, Faculty of Materials Science and Technology in Trnava, Slovak University of Technology in Bratislava, 812 43 Bratislava, Slovakia
Abstract
The paper describes the design and implementation of a cutting fluid monitoring system, as well as the design and development of an algorithm to increase the life of the cutting fluid in the machine tool reservoir. Cutting fluids are the most common type of coolant in machining. During its use, it becomes contaminated and gradually degrades until it needs to be replaced with fresh fluid. To increase its effective service life, its parameters should be monitored at regular intervals, and corrective measures such as topping up the fluid quantity and adding inhibitors and additives should be taken if necessary. For this purpose, a conceptual design of a monitoring device was developed, and a prototype device was subsequently manufactured. The device is designed as a floating probe in the storage tank. Therefore, its shape had to be designed to accommodate multiple sensors, batteries, and electronic components while remaining floating and watertight. The designed prototype was made by additive manufacturing and placed in a cutting fluid while being measured at regular intervals. In the event of non-compliant parameters, the algorithm generated corrective actions, and the machine operator could take the required steps to significantly increase the lifetime of the cutting fluid.
Funder
European Regional Development Fund
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering,Engineering (miscellaneous)
Reference49 articles.
1. Vopat, T., Peterka, J., Simna, V., and Kuruc, M. (2014, January 26–29). The Influence of Different Types of Copy Milling on the Surface Roughness and Tool Life of End Mills. Proceedings of the 25th DAAAM International Symposium on Intelligent Manufacturing and Automation, Vienna, Austria. 2. A new approach to calculating the arithmetical mean deviation of a profile during copy milling;Peterka;Stroj. Vestn.–J. Mech. Eng.,2004 3. Kolesnyk, V., Peterka, J., Alekseev, O., Neshta, A., Xu, J.Y., Lysenko, B., Sahul, M., Martinovic, J., and Hrbal, J. (2022). Application of ANN for Analysis of Hole Accuracy and Drilling Temperature When Drilling CFRP/Ti Alloy Stacks. Materials, 15. 4. Kuruc, M., Vopat, T., Peterka, J., Necpal, M., Simna, V., Milde, J., and Jurina, F. (2022). The Influence of Cutting Parameters on Plastic Deformation and Chip Compression during the Turning of C45 Medium Carbon Steel and 62SiMnCr4 Tool Steel. Materials, 15. 5. A brief review on effects of conventional and nano particle based machining fluid on machining performance of minimum quantity lubrication machining;Roy;Mater. Proc.,2019
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|