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Understanding the source of acoustic emission signals during the wear of stamping tools

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TLDR
In this article, a correlation between the sources of the acoustic emission signal to the specific surface wear mechanism observed in the stamping process was established. But the authors did not investigate the source of acoustic emission signals.
Abstract
Stamping tools are prone to wear due to the increased use of advanced high strength steels in the automotive industry. For active monitoring of the wear state of stamping tools using acoustic emission, it is important to establish a correlation between specific wear mechanisms and the acoustic emission signals. An adhesive wear mode (galling), which is commonly observed on the stamping tool, can occur in combination with multiple abrasive wear modes on the workpiece, such as ploughing and cutting. This study will establish a correlation between the sources of the acoustic emission signal to the specific surface wear mechanism observed in the stamping process. Therefore, to investigate the source of acoustic emission signal, sheet metal stamping wear tests were conducted using un-worn and worn tool steel dies (AISI D2) and advanced high strength steel sheet (DP780). Accelerated tribology tests were also conducted using a scratch tester with the same material combination, where galling, cutting and ploughing wear mechanisms were observed. By correlating the acoustic emission features, such as power spectral density from the stamping test and the scratch test, it was observed that the change in the acoustic emission signal observed in the stamping process could be attributed to the galling wear mechanismsThis study contributes to the fundamental understanding of different wear mechanisms in sheet metal forming process, the resulting acoustic emissions, and how these can be utilized to develop active monitoring of the tools in the future.

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Citations
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Journal ArticleDOI

Investigation of Galling Wear Using Acoustic Emission Frequency Characteristics

TL;DR: In this paper, the authors determined the frequency characteristics of the acoustic emission (AE) burst waveform that can be used to monitor galling wear, independent of the experimental process examined.
Journal ArticleDOI

Understanding galling wear initiation and progression using force and acoustic emissions sensors

TL;DR: In this paper, two sets of scratch tests were performed to study the galling behavior using force and acoustic emission sensors in sheet metal stamping processes, where galling, ploughing and cutting can be observed.
References
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Journal ArticleDOI

A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings

TL;DR: Vibration measurement in both time and frequency domains along with signal processing techniques such as the high-frequency resonance technique have been covered and recent trends in research on the detection of defects in bearings have been included.
Journal ArticleDOI

New clustering algorithm-based fault diagnosis using compensation distance evaluation technique

TL;DR: The diagnosis result shows the algorithm is able to reliably recognise not only different fault categories and severities but also the compound faults, and demonstrates the superior effectiveness and practicability of the algorithm.
Journal ArticleDOI

Acoustic emission characteristics of micro-failure processes in polymer blends and composites

TL;DR: In this article, the acoustic emission characteristics of micro-failure processes in HDPE/PP blends with and without compatibilizer, single-fibre composites (glass/epoxy, carbon/EPoxy, glass/polycarbonate) and unidirectionally reinforced multi-fiberre composite (glass polypropylene) were studied.
Journal ArticleDOI

Correlation between features of acoustic emission signals and mechanical wear mechanisms

TL;DR: In this article, the features of acoustic emission (AE) signals generated during adhesive wear and during abrasive mechanical wear were examined, and the results permit the recognition of wear mechanisms by the AE technique.
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