Wear monitoring in fine blanking processes using feature based analysis of acoustic emission signals

Martin Unterberg; Herman Voigts; Ingo Felix Weiser; Andreas Feuerhack; Daniel Trauth; Thomas Bergs

doi:10.1016/j.procir.2021.11.028

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Wear monitoring in fine blanking processes using feature based analysis of acoustic emission signals

Martin Unterberg Herman Voigts Ingo Felix Weiser Andreas Feuerhack Daniel Trauth Thomas Bergs

Year: 2021 Journal: Procedia CIRP Vol: 104 Pages: 164-169 Publisher: Elsevier BV

DOI: 10.1016/j.procir.2021.11.028

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Abstract

S.164-169

Keywords:

Acoustic emission Blanking Scrap Feature (linguistics) Tool wear Predictability Reliability (semiconductor) Engineering Materials science Computer science Acoustics Mechanical engineering Composite material

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2.58

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0.89

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Topics

Mineral Processing and Grinding

Physical Sciences → Engineering → Mechanical Engineering

Advanced machining processes and optimization

Physical Sciences → Engineering → Mechanical Engineering

Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Wear monitoring in fine blanking processes using feature based analysis of acoustic emission signals

Abstract

Metrics

Citation History

Topics

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