Literature DB >> 32629870

The Possibility of Applying Acoustic Emission and Dynamometric Methods for Monitoring the Turning Process.

Krzysztof Dudzik1, Wojciech Labuda1.   

Abstract

Ensuring optimal turning conditions has a huge impact on the quality and properties of the machined surface. The condition of the cutting tool is one of the factors to achieve this goal. In order to control its wear during the turning process, monitoring was used. In this study, the acoustic emission method and measure of cutting forces during turning were used for monitoring that process. The research was carried out on a universal lathe center (CU500MRD type) using a Kistler dynamometer with assembled removable insert CCET09T302R-MF by DIJET Industrial CO., LTD. A dynamometer allows to measure forces Fx (radial force), Fy (feed force) and Fz (cutting force). The turning process was performed on a shaft with 60 mm diameter made of 304L stainless steel. The AE research was carried at Physical Acoustics Corporation with the kit that includes: recorder USB AE Node, preamplifier, AE-sensor VS 150M and computer with dedicated software used for recording and analyzing AE data. The aim of this paper is to compare selected diagnostic methods: acoustic emission and cutting forces measurement for monitoring wear of cutting tool edge. Analysis of the research results showed that both selected methods of monitoring the turning process allowed the determination of the beginning of the tool damage process.

Entities:  

Keywords:  acoustic emission (AE); cutting forces; cutting parameters; diagnostic; turning; wear of cutting tool

Year:  2020        PMID: 32629870     DOI: 10.3390/ma13132926

Source DB:  PubMed          Journal:  Materials (Basel)        ISSN: 1996-1944            Impact factor:   3.623


  1 in total

1.  Determining the Stages of Deformation and Destruction of Composite Materials in a Static Tensile Test by Acoustic Emission.

Authors:  Katarzyna Panasiuk; Krzysztof Dudzik
Journal:  Materials (Basel)       Date:  2022-01-02       Impact factor: 3.623

  1 in total

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