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Utilization of acoustic emissions in the evaluation of machining process

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F17%3A43912616" target="_blank" >RIV/62156489:43210/17:43912616 - isvavai.cz</a>

  • Result on the web

    <a href="https://mnet.mendelu.cz/mendelnet2017/mnet_2017_full.pdf" target="_blank" >https://mnet.mendelu.cz/mendelnet2017/mnet_2017_full.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Utilization of acoustic emissions in the evaluation of machining process

  • Original language description

    The thesis deals with the use of non-destructive testing methods (acoustic emission) for the description and identification of stages during the machining process. For this measurement, advanced machining was selected. Selected cutting speeds - 28mm / min, 40mm / min and 80mm / min, and the rotor speed was 56 rpm with a chip size of 1mm. At each cutting speed, the resulting graphs were recorded. The test material was chosen as the structural steel 12 050. In the experimental part the methodology of continuous emission signal recording, continuous processing and evaluation of the measured data and monitoring of the response of the stressed material (during the machining process) was designed in real time. The detected values were then inserted into this methodology, subsequently evaluated, it was the detection of emission signals using the acoustic emission apparatus. Acoustic emission is a fast, short release of energy in the form of elastic waves. The acoustic emission curve has several parameters that can be used to characterize the source defect. Through an appropriately designed methodology for detecting, processing, and evaluating AE signals, it is possible to track the progress of the machining process, the measured data allow you to obtain new information about the processes that accompany the machining. Thus, the emission signals can be used to indicate microcracks in the internal structure of the stressed materials.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20501 - Materials engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    MendelNet 2017: Proceedings of International PhD Students Conference

  • ISBN

    978-80-7509-529-9

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    5

  • Pages from-to

    820-824

  • Publisher name

    Mendelova univerzita v Brně

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Nov 8, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000440194500147