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独立传感器系统,用于实时监测切削乳化液性能,并在机床操作中自适应集成。

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

机构信息

Institute of Production Technologies, Faculty of Materials Science and Technology in Trnava, Slovak University of Technology in Bratislava, 812 43 Bratislava, Slovakia.

出版信息

Sensors (Basel). 2023 Jun 21;23(13):5794. doi: 10.3390/s23135794.

Abstract

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.

摘要

本文提出了一种新颖的切削液监测传感器系统和算法框架,用于监测机床油箱中切削乳液的状态。在金属加工中,最常用的冷却剂之一是切削乳液。切削液的污染和逐渐降解是很常见的,如果不采取某些维护措施,就需要完全更换切削液,这既不经济也不环保。因此,延长切削液的有效使用寿命是可取的,可以通过监测流体的参数并采取纠正措施来确保选择参数的正确水平来实现。为此,开发了一种多传感器监测探头,并通过增材制造随后创建了一个原型设备。带有传感器的探头被放置在机床油箱中,并在运行中进行了测试。探头会自动按设定的间隔测量所选切削乳液的特性(温度、浓度、pH 值、液位高度),并将其记录在系统中。在探头的试运行期间,跟踪了传感器的准确性,并与参考测量值进行了比较,达到了连续运行所需的足够低的偏差。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73a4/10346676/f74b92710f86/sensors-23-05794-g001.jpg

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