Investigation on non-invasive process monitoring of Die Sinking EDM using Acoustic Emission signals

The aim of this research is to propose and develop the in-process monitoring system of the tool wear for the carbon steel (S45C) in CNC turning process by utilizing the multi-sensor which are the force sensor, the sound sensor, the accelerometer sensor and the acoustic emission sensor. The progress of the tool wear results in the larger cutting force, the higher amplitude of the acceleration signal, and the higher power spectrum densities of sound and acoustic emission signals. Hence, their signals have been integrated via the neural network with the back propagation technique to monitor the tool wear. The experimentally obtained results showed that the in-process monitoring system proposed and developed in this research can be effectively used to estimate the tool wear level with the higher accuracy and reliability.

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Körperschallemission in CFK und Fräswerkzeugen/Acoustic emission in CFRP and milling tools – Analysis of emitted acoustic emission in analogous experiments

wt Werkstattstechnik online ◽

10.37544/1436-4980-2021-07-08-27 ◽

2021 ◽

Vol 111 (07-08) ◽

pp. 495-500

Author(s):

Eckart Uhlmann ◽

Tobias Holznagel ◽

Sebastian Ospina Mora

Keyword(s):

Acoustic Emission ◽

Tool Wear ◽

Process Monitoring ◽

Detailed Examination ◽

Data Driven ◽

Material Damage ◽

Emission Measurement ◽

Wear Rates ◽

Milling Tools ◽

Acoustic Emission Measurement

Herausforderungen bei der spanenden Bearbeitung von CFK sind unerwünschte Materialschädigungen im Bauteil sowie hohe Werkzeugverschleißraten. Für diese Arbeit wurden zerstörende Analogversuche an CFK und diamantbeschichteten Hartmetallproben durchgeführt und die Körperschallmesssignale analysiert. Die eingehende Untersuchung der Messwerte aus den Analogversuchen kann zu einer datengetriebenen Parametrierung einer körperschallbasierten Prozessüberwachung für die Fräsbearbeitung von CFK beitragen.   Challenges in machining CFRP are unwanted material damage in the component and high tool wear rates. For this work, destructive analogy experiments were carried out on CFRP and diamond-coated milling tools while analyzing the acoustic emission measurement signals. The detailed examination of the measured values from the analogy experiment can contribute to a data-driven parameterization of an acoustic emission-based process monitoring for the milling of CFRP.

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Online process monitoring of a batch distillation by medium field NMR spectroscopy

10.31219/osf.io/fuy3e ◽

2021 ◽

Author(s):

Anne Friebel ◽

Erik von Harbou ◽

Kerstin Münnemann ◽

Hans Hasse

Keyword(s):

Process Monitoring ◽

Binary Systems ◽

Spectroscopic Analysis ◽

Ternary Systems ◽

Ethyl Formate ◽

Batch Distillation ◽

Non Invasive ◽

Robust Measurements ◽

Online Process Monitoring ◽

Online Process

Medium field NMR spectrometers are attractive for online process monitoring. Therefore, in the present work, a single-stage laboratory batch distillation still was coupled online with a medium field NMR spectrometer. This enables quantitative non-invasive measurements without calibration. The technique was used for studying isobaric and isothermal residue curves in two ternary systems: (dimethyl sulfoxide + acetonitrile + ethyl formate) and (ethyl acetate + acetone + diethyl ether) and boiling curves and high-boiling azeotropes in two binary systems: (acetic acid + pyridine) and (methanol + diethylamine). The results of the online NMR spectroscopic analysis were compared to results from offline analysis as well as to results from thermodynamic modeling using NRTL parameters that were parametrized with literature data. The new method for online process monitoring gives reliable results and is well-suited for fast and robust measurements of residue curves.

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