Deakin University

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Time series analysis of tool wear in sheet metal stamping using acoustic emission

conference contribution
posted on 2017-09-01, 00:00 authored by Vignesh Vishnudas Shanbhag, Michael PereiraMichael Pereira, Bernard RolfeBernard Rolfe, N Arunachalam
Galling is an adhesive wear mode that often affects the lifespan of stamping tools. Since stamping tools represent significant economic cost, even a slight improvement in maintenance cost is of high importance for the stamping industry. In other manufacturing industries, online tool condition monitoring has been used to prevent tool wear-related failure. However, monitoring the acoustic emission signal from a stamping process is a non-trivial task since the acoustic emission signal is non-stationary and non-transient. There have been numerous studies examining acoustic emissions in sheet metal stamping. However, very few have focused in detail on how the signals change as wear on the tool surface progresses prior to failure. In this study, time domain analysis was applied to the acoustic emission signals to extract features related to tool wear. To understand the wear progression, accelerated stamping tests were performed using a semi-industrial stamping setup which can perform clamping, piercing, stamping in a single cycle. The time domain features related to stamping were computed for the acoustic emissions signal of each part. The sidewalls of the stamped parts were scanned using an optical profilometer to obtain profiles of the worn part, and they were qualitatively correlated to that of the acoustic emissions signal. Based on the wear behaviour, the wear data can be divided into three stages: - In the first stage, no wear is observed, in the second stage, adhesive wear is likely to occur, and in the third stage severe abrasive plus adhesive wear is likely to occur. Scanning electron microscopy showed the formation of lumps on the stamping tool, which represents galling behavior. Correlation between the time domain features of the acoustic emissions signal and the wear progression identified in this study lays the basis for tool diagnostics in stamping industry.



International Deep Drawing Research Group. Conference (36th : 2017 : Munich, Germany)




Conference 1


International Deep Drawing Research Group Conference


1 - 8


IOP Publishing


Munich, Germany

Place of publication

Bristol, Eng.

Start date


End date






Publication classification

E Conference publication; E1 Full written paper - refereed

Copyright notice

2017, V. Vignesh Shanbhag et al.


W Volk

Title of proceedings

IDDRG 2017 : Materials modelling and testing for sheet metal forming : Proceedings of the 36th IDDRG Conference 2017