A New Approach to Automatic Detection of Life of Coated Tool Based on Acoustic Emission Measurement

1990 ◽  
Vol 112 (3) ◽  
pp. 212-218 ◽  
Author(s):  
T. Moriwaki ◽  
M. Tobito
Keyword(s):  
Acoustic Emission ◽  
Medium Carbon Steel ◽  
Emission Measurement ◽  
New Approach ◽  
Medium Carbon ◽  
Continuous Type ◽  
Coated Tool ◽  
Ae Signal ◽  
Characteristic Features ◽  
Acoustic Emission Measurement

Characteristic features of acoustic emission (AE) signals are analyzed and measured during turning of medium carbon steel with both coated and uncoated tools. It was found that the AE signal changes from burst-type to continuous-type as the coated tool is worn away and the ceramic coating is removed. The AE signal further changes to one with a large amplitude and variation as the tool approaches termination. A procedure is proposed to classify the AE signal into three categories based on the experimental results and to identify the condition of tool by AE signal measured employing the pattern recognition technique. Further cutting experiments proved that the state of wear and the life of the coated tool can be identified by the method proposed.

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.

Acoustic emission measurement using a strain-insensitive fiber Bragg grating sensor under varying load conditions

2009 ◽  
Vol 34 (19) ◽  
pp. 2942 ◽  
Author(s):  
Hiroshi Tsuda ◽  
Eiichi Sato ◽  
Tomio Nakajima ◽  
Hideyuki Nakamura ◽  
Takahiro Arakawa ◽  
...  
Keyword(s):  
Acoustic Emission ◽  
Fiber Bragg Grating ◽  
Fiber Bragg Grating Sensor ◽  
Bragg Grating ◽  
Emission Measurement ◽  
Bragg Grating Sensor ◽  
Acoustic Emission Measurement ◽  
Load Conditions

scholarly journals An Efficient Approach for Identification of the Inlet Distortion of Engine Based on Acoustic Emission Technique

2020 ◽  
Vol 10 (22) ◽  
pp. 8240
Author(s):  
Jiaoyan Huang ◽  
Aiguo Xia ◽  
Shenao Zou ◽  
Cong Han ◽  
Guoan Yang
Keyword(s):  
Acoustic Emission ◽  
Health Management ◽  
Back Propagation ◽  
Vibration Monitoring ◽  
Characteristic Parameters ◽  
New Approach ◽  
Inlet Distortion ◽  
Monitoring Technique ◽  
Ae Signal ◽  
Intelligent Recognition

Effective and accurate diagnosis of engine health is key to ensuring the safe operation of engines. Inlet distortion is due to the flow or the pressure variations. In the paper, an acoustic emission (AE) online monitoring technique, which has a faster response time compared with the ordinary vibration monitoring technique, is used to study the inlet distortion of an engine. The results show that with the deterioration of the inlet distortion, the characteristic parameters of AE signals clearly evolve in three stages. Stage I: when the inlet distortion J ≤ 30%, the characteristic parameters of the AE signal increase as J increases and the amplitude saturates at J = 23%, faster than the other three parameters (the strength, the root mean square (RMS), and the average signal level (ASL)). Stage II: when the inlet distortion 30% < J ≤ 43.64%, all the parameters saturate with only slight fluctuations as J increases and the engine works in an unstable statue. Stage III: when the inlet distortion J > 43.64%, the engine is prone to surge. Furthermore, an intelligent recognition method of the engine inlet distortion based on a unit parameter entropy and the back propagation (BP) neural network is constructed. The recognition accuracy is as high as 97.5%, and this method provides a new approach for engine health management.

Continuous monitoring by acoustic emission measurement

1992 ◽  
Vol 25 (6) ◽  
pp. 295
Author(s):  
C.B. Scruby ◽  
M.J. Beesley ◽  
K.A. Stacey ◽  
D.J. Buttle
Keyword(s):  
Acoustic Emission ◽  
Continuous Monitoring ◽  
Emission Measurement ◽  
Acoustic Emission Measurement

A Scanning Method to Study the Influence of Roughness, Microwaviness, and Lubricant Thickness Variation on Slider Dynamics

2005 ◽  
Author(s):  
Maik Duwensee ◽  
Bernhard E. Knigge ◽  
Peter Baumgart ◽  
Frank E. Talke
Keyword(s):  
Acoustic Emission ◽  
Disk Surface ◽  
Flying Height ◽  
Thickness Variation ◽  
Emission Measurement ◽  
Lubricant Thickness ◽  
Scanning Method ◽  
Displacement Maps ◽  
Acoustic Emission Measurement ◽  
A Current

Flying height modulation maps and microwaviness maps are obtained by using laser Doppler vibrometry (LDV) and acoustic emission (AE) transducers which are moved radially over the complete disk surface. The sensitivity of the acoustic emission measurement is improved by applying a current to the write element, thereby increasing pole tip protrusion. Disk and slider displacement maps are obtained using a radially scratched disk. Acoustic emission maps are presented for a scratched disk and for a non-scratched disk. For the non-scratched disk, AE maps are obtained with an inactive and active write element.

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