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

Identifikátory výsledku

  • Kód výsledku v 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>

  • Výsledek na webu

    <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

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

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

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

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

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS

  • CEP obor

  • OECD FORD obor

    20501 - Materials engineering

Návaznosti výsledku

  • Projekt

  • Návaznosti

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Ostatní

  • Rok uplatnění

    2022

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    The International Journal of Advanced Manufacturing Technology

  • ISSN

    0268-3768

  • e-ISSN

  • Svazek periodika

    123

  • Číslo periodika v rámci svazku

    5

  • Stát vydavatele periodika

    GB - Spojené království Velké Británie a Severního Irska

  • Počet stran výsledku

    88

  • Strana od-do

    3599-3612

  • Kód UT WoS článku

    000884634100007

  • EID výsledku v databázi Scopus

    2-s2.0-85142106694