Cutting Process Monitoring by Means of Acoustic Emission Method; Part I - New Approach of Acoustic Emission Sensor; Part II - Transformation of Acoustic Emission into Audible Sound

Žižka, Ján; Hana, P.; Hamplova, L.; Motycka, Z.

doi:10.4028/0-87849-420-0.105

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“…Piezoelectric transducer on the base of the copolymer foil Construction of the copolymer piezoelectric sensor of acoustic emission is based on an accelerometer principle (Kepler and Anderson, 1992). The mathematical relations describing behaviour of the transducer was developed by Zizka (2003). The theoretical model and schema of practical realization of the AE transducer are shown in Fig.…”

Section: Part I -New Approach Of Acoustic Emission Sensor -Introductionmentioning

confidence: 99%

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Cutting Process Monitoring by Means of Acoustic Emission Method; Part I - New Approach of Acoustic Emission Sensor; Part II - Transformation of Acoustic Emission into Audible Sound

Žižka

Hana

Hamplova

et al. 2006

AMR

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Development of modern society is converging to a status where many human actions can be performed by machines. To achieve production without human intervention, machines require artificial receptors. Data gathering for processing and analysis of signals, together with determination of feedback reactions can be achieved by a suitable decision maker unit. A sensed value suited to this so-called intelligent sensing process would be the acoustic emission signal. In the case of intelligent cutting tools this would require miniature highly sensitive sensors integrated into the cutting tool body. Part I of this paper deals with the possibility of practical usage of the piezoelectric properties of copolymer foils for the acoustic emission sensor as a transducer of a mechanical surface wave into electrical signal. Part II of the paper deals with the most fundamental requirement for monitoring of cutting conditions during machining, i.e. excellent processing of measured data. Data obtained from machining process obtained by means of acoustic emission sensors, as discussed in the first part of this article, have high-frequency and continuous character of a white noise. These data are very difficult to process. New apparatus for transformation of acoustic emission into audible sound in the workplace is presented. The first stage of processing is by listening to transformed data it is subjectively possible to recognize differences in audible spectrum, corresponding to different states of the cutting tool. The second step is visualization of the differences via the fast Fourier transform (FFT) in the spectrum graphic chart.

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Section: Part I -New Approach Of Acoustic Emission Sensor -Introductionmentioning

confidence: 99%

“…Basic equations from Zizka (2003) characterize the behavior of the designed converter. Mechanical stress X applied on piezoelectric element with area S loaded by mass M generates electric field E:…”

Section: Part I -New Approach Of Acoustic Emission Sensor -Introductionmentioning

confidence: 99%

Cutting Process Monitoring by Means of Acoustic Emission Method; Part I - New Approach of Acoustic Emission Sensor; Part II - Transformation of Acoustic Emission into Audible Sound

Žižka

Hana

Hamplova

et al. 2006

AMR

View full text Add to dashboard Cite

show abstract

Cutting Process Monitoring by Means of Acoustic Emission Method; Part I - New Approach of Acoustic Emission Sensor; Part II - Transformation of Acoustic Emission into Audible Sound

Cited by 1 publication

References 0 publications

Cutting Process Monitoring by Means of Acoustic Emission Method; Part I - New Approach of Acoustic Emission Sensor; Part II - Transformation of Acoustic Emission into Audible Sound

Cutting Process Monitoring by Means of Acoustic Emission Method; Part I - New Approach of Acoustic Emission Sensor; Part II - Transformation of Acoustic Emission into Audible Sound

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