Investigating Possibilities of Sintering Process Monitoring by Acoustic Emission as an On-Line Method

1999 ◽  
pp. 593-597
Author(s):  
M. Tasić ◽  
Z. Andić ◽  
D. Bojović
Keyword(s):  
Acoustic Emission ◽  
Process Monitoring ◽  
Sintering Process ◽  
Line Method ◽  
On Line

scholarly journals A rapid on-line method for mass spectrometric confirmation of a cysteine-conjugated antibody-drug-conjugate structure using multidimensional chromatography

mAbs ◽  
2015 ◽  
Vol 7 (6) ◽  
pp. 1036-1044 ◽  
Author(s):  
Robert E Birdsall ◽  
Henry Shion ◽  
Frank W Kotch ◽  
April Xu ◽  
Thomas J Porter ◽  
...  
Keyword(s):  
Mass Spectrometric ◽  
Antibody Drug Conjugate ◽  
Multidimensional Chromatography ◽  
Drug Conjugate ◽  
Line Method ◽  
On Line ◽  
Antibody Drug

A Hybrid Methodology For On-Line Process Monitoring

2004 ◽  
Vol 2 (1) ◽  
Author(s):  
Rakesh Kumar ◽  
Avinash M. Jade ◽  
Valadi K. Jayaraman ◽  
Bhaskar D. Kulkarni
Keyword(s):  
Process Monitoring ◽  
Current Practice ◽  
Locally Linear Embedding ◽  
Support Vector ◽  
Nonlinear Dimensionality Reduction ◽  
Hybrid Strategy ◽  
Vector Machines ◽  
On Line ◽  
Line Process

A hybrid strategy of using (i) locally linear embedding for nonlinear dimensionality reduction of high dimensional data and (ii) support vector machines for classification of the resultant features is proposed as a robust methodology for process monitoring. Illustrative examples substantiate the methodology vis-à-vis current practice.

On-line wear monitoring using acoustic emission

Wear ◽  
1993 ◽  
Vol 162-164 ◽  
pp. 605-610 ◽  
Author(s):  
Kaoru Matsuoka ◽  
David Forrest ◽  
Tse Ming-Kai
Keyword(s):  
Acoustic Emission ◽  
Line Wear ◽  
On Line ◽  
Wear Monitoring

In-Process Monitoring and Estimation of Tool Wear on CNC Turning by Applying Multi-Sensor with Back Propagation Technique

2011 ◽  
Vol 291-294 ◽  
pp. 3036-3043 ◽  
Author(s):  
Somkiat Tangjitsitcharoen ◽  
Channarong Rungruang
Keyword(s):  
Acoustic Emission ◽  
Tool Wear ◽  
Monitoring System ◽  
Process Monitoring ◽  
Back Propagation ◽  
Force Sensor ◽  
Accelerometer Sensor ◽  
Cnc Turning ◽  
Propagation Technique ◽  
Cnc Turning Process

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.

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

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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