Abrasive Feature Related Acoustic Emission in Grinding

Plaza, Eustaquio García; Chen, X.; Ouarab, Lounis Ait

doi:10.23919/iconac.2019.8895243

Cited by 7 publications

(4 citation statements)

References 21 publications

(26 reference statements)

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“…A large number of research studies on tool condition monitoring have been reported in the literature for a variety of machining processes by measuring parameters such as force and torque, feed and spindle motor currents, acoustic emissions (AEs), vibration, cutting temperature, etc [3][4][5][6][7][8]. Of these parameters, AE has been widely used and recognized as one of the most suitable choices for grinding process monitoring.…”

Section: Introductionmentioning

confidence: 99%

“…Karpuschewsk et al [6] investigated the influence of different dressing parameters on the AE signal, and wheel life estimation was achieved using power spectra of the enveloped AE signal. Plaza et al [7] carried out an experimental study on AE features in abrasive grinding. The AE signals were analyzed in both the time and frequency domains.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Scalogram-Based Instantaneous Features of Acoustic Emission in Grinding Burn Detection

Yesilyurt¹,

Dalkiran²,

Yeşil³

et al. 2021

JDMD

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Time-frequency methods are effective tools in identifying the frequency content of a signal and revealing its time-variant features. This paper presents the use of instantaneous features (i.e. instantaneous energy and signal phase) of acoustic emission (AE) in the detection of thermal damage to the workpiece in grinding. Both the instantaneous energy and mean frequency are obtained using the low-order frequency moments of a scalogram. While the zero-order frequency moment yields the instantaneous energy, the first-order frequency moment gives the instantaneous frequency by which the signal phase is recovered. The grinding process is monitored using acoustic emission for various operating conditions, including the regular grinding, grinding at a higher cutting speed and larger infeed, and small dressing depth of cut. It has been found that both the instantaneous energy and phase deviation indicate the presence of burn damage and serve as robust and reliable indicators, providing a basis for detecting the grinding burn.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Scalogram-Based Instantaneous Features of Acoustic Emission in Grinding Burn Detection

Yesilyurt¹,

Dalkiran²,

Yeşil³

et al. 2021

JDMD

View full text Add to dashboard Cite

show abstract

“…A large number of research studies on tool condition monitoring have been reported in the literature for a variety of machining processes by measuring parameters such as force and torque, feed and spindle motor currents, acoustic emissions, vibration, cutting temperature, etc [3][4][5][6][7][8]. Of these parameters, acoustic emission (AE) has been widely used and recognised as one of the most suitable choices for grinding process monitoring.…”

Section: Introductionmentioning

confidence: 99%

“…Karpuschewski et al [7] investigated the influence of different dressing parameters on the AE signal and wheel life estimation was achieved using power spectra of the enveloped AE signal. Plaza et al [8] carried out an experimental study on acoustic emission (AE) features in abrasive grinding. The acoustic emission signals were analysed in both the time and frequency domains.…”

Section: Introductionmentioning

confidence: 99%

Monitoring of Burn Damage Occurrence under Different Grinding Conditions Using Acoustic Emission

Yesilyurt

Bakir

2020

Usak University Journal of Engineering Sciences

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This paper presents the effects of the operating conditions (i.e. cutting speed and the amount of infeed) in grinding on the occurrence of thermal damage to the workpiece. The paper commences with a brief background to the analysis methods. Firstly, the AE signals detected under different operating conditions are analysed in time and frequency domains. It has been found that an increase in cutting speed or feed rate increases the strength of AE activity which is clearly reflected by the statistical parameter. Moreover, the infeed rate rather than the speed of the cutting wheel is more influential on the occurrence of burn damage. When the infeed rate is increased, the workpiece exhibits symptoms of severe burn damage.

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Feature-Based Analysis of Acoustic Emission Signals for Wear Monitoring in Centerless Through-Feed Grinding

Gelbich,

Breuer,

Man

et al. 2023

Lecture Notes in Production Engineering

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Abrasive Feature Related Acoustic Emission in Grinding

Abstract: The version presented here may differ from the published version or from the version of the record. Please see the repository URL above for details on accessing the published version and note that access may require a subscription.

Cited by 7 publications

References 21 publications

Scalogram-Based Instantaneous Features of Acoustic Emission in Grinding Burn Detection

Scalogram-Based Instantaneous Features of Acoustic Emission in Grinding Burn Detection

Monitoring of Burn Damage Occurrence under Different Grinding Conditions Using Acoustic Emission

Feature-Based Analysis of Acoustic Emission Signals for Wear Monitoring in Centerless Through-Feed Grinding

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