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Title:A model of tool wear monitoring system for turning
Authors:Antić, Aco (Author)
Šimunović, Goran (Author)
Šarić, Tomislav (Author)
Milošević, Mijodrag (Author)
Ficko, Mirko (Author)
Files:.pdf Tehnicki_vjesnik_2013_Antic_et_al._A_model_of_tool_wear_monitoring_system_for_turning.pdf (1,87 MB)
 
URL http://hrcak.srce.hr/100159
 
Language:English
Work type:Scientific work (r2)
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Abstract:Acquiring high-quality and timely information on the tool wear condition in real time, presents a necessary prerequisite for identification of tool wear degree, which significantly improves the stability and quality of the machining process. Defined in this paper is a model of tool wear monitoring system with special emphasis on the module for acquisition and processing of vibration acceleration signal by applying discrete wavelet transformations (DWT) in signal decomposition. The paper presents a model of the developed fuzzy system for tool wear classification. The system comprises three modules: module for data acquisition and processing, module for tool wear classification, and module for decision-making. The selected method for feature extraction is presented within the module for data classification and processing. The selected model for the fuzzy classifier and classification in experimental laboratory conditions is shown within data classification and clustering. The proposed model has been tested in longitudinal and transversal machining operations.
Keywords:artificial intelligence, tool wear monitoring, feature extraction
Year of publishing:2013
Number of pages:str. 247-254
Numbering:št. 2, Letn. 20
ISSN:1330-3651
UDC:621.941:004.89
ISSN on article:1330-3651
COBISS_ID:16869398 Link is opened in a new window
NUK URN:URN:SI:UM:DK:G85CCEWX
License:CC BY 4.0
This work is available under this license: Creative Commons Attribution 4.0 International
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Downloads:46
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Record is a part of a journal

Title:Tehnički vjesnik
Shortened title:Teh. vjesn.
Publisher:Strojarski fakultet u Slavonskom Brodu, Elektrotehnički fakultet u Osijeku, Građevinski fakultet u Osijeku
ISSN:1330-3651
COBISS.SI-ID:15346181 New window

Secondary language

Language:Croatian
Title:Model sustava za klasifikaciju trošenja alata pri obradi tokarenjem
Abstract:Prikupljanje kvalitetnih i pravovremenih informacija o stanju alata u realnom vremenu predstavlja nužan uvjet za identifikaciju stupnja istrošenosti alata čime se u značajnoj mjeri poboljšava postojanost i kvaliteta procesa obrade. Ovaj rad se bavi definiranjem modela sustava za klasifikaciju istrošenosti alata uz poseban osvrt na modul za prikupljanje i obradu signala ubrzanja vibracija primjenom diskretnih "wavelet" transformacija (DWT) pri dekomponiranju signala. U radu je prikazan model razvijenog fuzzy sustava za klasifikaciju trošenja alata. Sustav sačinjavaju tri podsustava: za prikupljanje i obradu podataka, za klasifikaciju istrošenosti alata i odlučivanje. U okviru podsustava za prikupljanje i obradu podataka prikazana je izabrana metoda izdvajanja značajki. U okviru klasifikacije i grupiranja podataka prikazan je izabrani model fuzzy klasifikatora i provjera klasifikacije u eksperimentalnim laboratorijskim uvjetima. Primijenjeni model testiran je za zahvate uzdužne i poprečne obrade.
Keywords:umetna inteligenca, prepoznavanje geometrijskih značilnosti, spremljanje obrabe orodij


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