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
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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
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
20501 - Materials engineering
Result continuities
Project
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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
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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