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A novel method for online monitoring of surface quality and predicting tool wear conditions in machining of materials

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F22%3A00002449" target="_blank" >RIV/75081431:_____/22:00002449 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/article/10.1007/s00170-022-10391-0" target="_blank" >https://link.springer.com/article/10.1007/s00170-022-10391-0</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    A novel method for online monitoring of surface quality and predicting tool wear conditions in machining of materials

  • Original language description

    Roughness on the surface of the machined workpiece is one of the most important machining outcomes in terms of determining the quality of the product. This publication presents a new, original methodology for online monitoring machined materials' quality. The methodology was designed to ensure the surface finish quality was maintained throughout the production process and under the selected cutting conditions. The remaining useful life of the cutting tool was predicted using online time mode with simultaneous surface quality checks. An indirect method was used to monitor the vibration levels generated during the machining process of the part. The vibrations were measured continuously throughout the longitudinal turning process. The sensor was installed on the revolving turret of the machine. Measurements were taken in the direction of the horizontal (lateral) axis perpendicular to the longitudinal axis of the machine. The experiment was carried out for technical operations of roughing and finishing turning. This methodology is based on an analytical model describing the relationship between the mean value of the surface roughness, the feed rate, and the radius of the tooltip. It has been developed with the primary objective of predicting sudden failure of tools, possible destruction of components, and premature tool replacement. As a result, the applied tools exceed the average statistical value of their actual operational potential for a given cutting mode.

  • 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

    20501 - Materials engineering

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

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

    The International Journal of Advanced Manufacturing Technology

  • ISSN

    0268-3768

  • e-ISSN

  • Volume of the periodical

    123

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    88

  • Pages from-to

    3599-3612

  • UT code for WoS article

    000884634100007

  • EID of the result in the Scopus database

    2-s2.0-85142106694