Pregled bibliografske jedinice broj: 488617
Application of non-parametric methods for monitoring of tool chipping
Application of non-parametric methods for monitoring of tool chipping // The 21st INTERNATIONAL DAAAM SYMPOSIUM "Intelligent Manufacturing & Automation: Focus on Interdisciplinary Solutions" / Katalinic, Branko (ur.).
Zagreb: DAAAM International Vienna, 2010. str. 0297-0298 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 488617 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Application of non-parametric methods for monitoring of tool chipping
Autori
Mulc, Tihomir ; Udiljak, Toma ; Ciglar, Damir ; Brezak , Danko ; Staroveški, Tomislav
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
The 21st INTERNATIONAL DAAAM SYMPOSIUM "Intelligent Manufacturing & Automation: Focus on Interdisciplinary Solutions"
/ Katalinic, Branko - Zagreb : DAAAM International Vienna, 2010, 0297-0298
ISBN
978-3-901509-73-5
Skup
The 21st INTERNATIONAL DAAAM SYMPOSIUM "Intelligent Manufacturing & Automation: Focus on Interdisciplinary Solutions"
Mjesto i datum
Zadar, Hrvatska, 20.10.2010. - 23.10.2010
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
tool monitoring; milling; tool chipping; spectral analysis
Sažetak
Cutting tool wear is a consequence of a normal wearing process, which is considerably slow, or of a chipping process, which happens instantly and could often lead to tool breakage. The paper presents a methodology for monitoring the tool chipping process. The reliability of monitoring the tool chipping, in particular its initialization, depends on the sensor signal acquisition, processing, and interpretation. Tool chipping is a very fast nonlinear process, and too complex to be described by deterministic models. Not only the cutting process itself, but also the mechanical link (from motors to tool-workpiece interface) is a significant cause of signal deviation and noise. Therefore, knowing the signal power spectra and analyzing them are of great importance for the monitoring of stochastic processes. This paper presents an analysis of the tool chipping process by means of a nonparametric method for the spectral analysis of force, current, and acoustic signals.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Projekti:
120-1201948-1938 - Napredni obradni sustavi i procesi (Udiljak, Toma, MZOS ) ( CroRIS)
120-1201948-1945 - Inteligentno vođenje obradnih sustava (Majetić, Dubravko, MZOS ) ( CroRIS)
120-1521473-1808 - Povišenje učinkovitosti razvoja i preradbe polimernih proizvoda (Šercer, Mladen, MZOS ) ( CroRIS)
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb
Profili:
Tihomir Mulc
(autor)
Tomislav Staroveški
(autor)
Danko Brezak
(autor)
Damir Ciglar
(autor)
Toma Udiljak
(autor)