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In-Process Chatter Detection in Milling: Comparison of the Robustness of Selected Entropy Methods

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F22%3A00360686" target="_blank" >RIV/68407700:21220/22:00360686 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.3390/jmmp6050125" target="_blank" >https://doi.org/10.3390/jmmp6050125</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/jmmp6050125" target="_blank" >10.3390/jmmp6050125</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    In-Process Chatter Detection in Milling: Comparison of the Robustness of Selected Entropy Methods

  • Original language description

    This article deals with the issue of online chatter detection during milling. The aim is to achieve a verification of the reliability and robustness of selected methods for the detection of chatter that can be evaluated on the machine tool in real time by using the accelerometer signal. In the introductory part of the paper, an overview of the current state of the art in the field of chatter detection is summarized. Entropic methods have been selected that evaluate the presence of chatter from the qualitative behavior of the signal rather than from the magnitude of its amplitude, because the latter can be affected by the transmission of vibrations to the accelerometer position. Another criterion for selection was the potential for practical implementation in a real-time evaluation of the accelerometer signal, which is nowadays quite commonly installed on machine tools. The robustness of the methods was tested with respect to tool compliance, which affects both chatter occurrence and vibration transfer to the accelerometer location. Therefore, the study was carried out on a slender milling tool with two different overhangs and on a rigid roughing tool. The reference stability assessment for each measurement was based on samples of the machined surface. The signals obtained from the accelerometer were then post-processed and used to calculate the chatter indicators. In this way, it was possible to compare different methods in terms of their ability to achieve reliable in-process detection of chatter and in terms of the computational complexity of the indicator.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    20301 - Mechanical engineering

Result continuities

  • Project

    <a href="/en/project/EF16_026%2F0008404" target="_blank" >EF16_026/0008404: Machine Tools and Precision Engineering</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Manufacturing and Materials Processing

  • ISSN

    2504-4494

  • e-ISSN

    2504-4494

  • Volume of the periodical

    6

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    25

  • Pages from-to

  • UT code for WoS article

    000873194400001

  • EID of the result in the Scopus database

    2-s2.0-85140575907