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