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Standalone Sensors System for Real-Time Monitoring of Cutting Emulsion Properties with Adaptive Integration in Machine Tool Operation

This paper presents a novel cutting fluid monitoring sensor system and a description of an algorithm framework to monitor the state of the cutting emulsion in the machine tool sump. One of the most frequently used coolants in metal machining is cutting emulsion. Contamination and gradual degradation...

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Autores principales: Peterka, Jozef, Jurina, Frantisek, Vozar, Marek, Patoprsty, Boris, Vopat, Tomas, Simna, Vladimir, Bozek, Pavol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346676/
https://www.ncbi.nlm.nih.gov/pubmed/37447643
http://dx.doi.org/10.3390/s23135794
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author Peterka, Jozef
Jurina, Frantisek
Vozar, Marek
Patoprsty, Boris
Vopat, Tomas
Simna, Vladimir
Bozek, Pavol
author_facet Peterka, Jozef
Jurina, Frantisek
Vozar, Marek
Patoprsty, Boris
Vopat, Tomas
Simna, Vladimir
Bozek, Pavol
author_sort Peterka, Jozef
collection PubMed
description This paper presents a novel cutting fluid monitoring sensor system and a description of an algorithm framework to monitor the state of the cutting emulsion in the machine tool sump. One of the most frequently used coolants in metal machining is cutting emulsion. Contamination and gradual degradation of the fluid is a common occurrence, and unless certain maintenance steps are undertaken, the fluid needs to be completely replaced, which is both un-economical and non-ecological. Increasing the effective service life of the cutting emulsion is therefore desired, which can be achieved by monitoring the parameters of the fluid and taking corrective measures to ensure the correct levels of selected parameters. For this purpose, a multi-sensor monitoring probe was developed and a prototype device was subsequently created by additive manufacturing. The sensor-carrying probe was then placed in the machine tool sump and tested in operation. The probe automatically takes measurements of the selected cutting emulsion properties (temperature, concentration, pH, level height) in set intervals and logs them in the system. During the trial run of the probe, sensor accuracy was tracked and compared to reference measurements, achieving sufficiently low deviations for the purpose of continuous operation.
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spelling pubmed-103466762023-07-15 Standalone Sensors System for Real-Time Monitoring of Cutting Emulsion Properties with Adaptive Integration in Machine Tool Operation Peterka, Jozef Jurina, Frantisek Vozar, Marek Patoprsty, Boris Vopat, Tomas Simna, Vladimir Bozek, Pavol Sensors (Basel) Article This paper presents a novel cutting fluid monitoring sensor system and a description of an algorithm framework to monitor the state of the cutting emulsion in the machine tool sump. One of the most frequently used coolants in metal machining is cutting emulsion. Contamination and gradual degradation of the fluid is a common occurrence, and unless certain maintenance steps are undertaken, the fluid needs to be completely replaced, which is both un-economical and non-ecological. Increasing the effective service life of the cutting emulsion is therefore desired, which can be achieved by monitoring the parameters of the fluid and taking corrective measures to ensure the correct levels of selected parameters. For this purpose, a multi-sensor monitoring probe was developed and a prototype device was subsequently created by additive manufacturing. The sensor-carrying probe was then placed in the machine tool sump and tested in operation. The probe automatically takes measurements of the selected cutting emulsion properties (temperature, concentration, pH, level height) in set intervals and logs them in the system. During the trial run of the probe, sensor accuracy was tracked and compared to reference measurements, achieving sufficiently low deviations for the purpose of continuous operation. MDPI 2023-06-21 /pmc/articles/PMC10346676/ /pubmed/37447643 http://dx.doi.org/10.3390/s23135794 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Peterka, Jozef
Jurina, Frantisek
Vozar, Marek
Patoprsty, Boris
Vopat, Tomas
Simna, Vladimir
Bozek, Pavol
Standalone Sensors System for Real-Time Monitoring of Cutting Emulsion Properties with Adaptive Integration in Machine Tool Operation
title Standalone Sensors System for Real-Time Monitoring of Cutting Emulsion Properties with Adaptive Integration in Machine Tool Operation
title_full Standalone Sensors System for Real-Time Monitoring of Cutting Emulsion Properties with Adaptive Integration in Machine Tool Operation
title_fullStr Standalone Sensors System for Real-Time Monitoring of Cutting Emulsion Properties with Adaptive Integration in Machine Tool Operation
title_full_unstemmed Standalone Sensors System for Real-Time Monitoring of Cutting Emulsion Properties with Adaptive Integration in Machine Tool Operation
title_short Standalone Sensors System for Real-Time Monitoring of Cutting Emulsion Properties with Adaptive Integration in Machine Tool Operation
title_sort standalone sensors system for real-time monitoring of cutting emulsion properties with adaptive integration in machine tool operation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346676/
https://www.ncbi.nlm.nih.gov/pubmed/37447643
http://dx.doi.org/10.3390/s23135794
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