Prediction of the catastrophic tool failure in hard turning through acoustic emission

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F15%3A86093613" target="_blank" >RIV/61989100:27230/15:86093613 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.scopus.com/" target="_blank" >http://www.scopus.com/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.17222/mit.2014.029" target="_blank" >10.17222/mit.2014.029</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Prediction of the catastrophic tool failure in hard turning through acoustic emission

Popis výsledku v původním jazyce

The paper deals with a new concept for the detection and prediction of the catastrophic tool failure (CTF) of ceramic inserts using an acoustic emission (AE) technique and an associated analysis of the chip formation during hard turning of bearing steel100Cr6. The suggested method is based on the application of two sensors and the ratios of parameters of the acoustic emission such as AE RMS, AE absolute energy, and AE strength. The specific character of the segmented chips during hard turning is associated with the raw acoustic signals as well as the extracted AE features. The paper indicates that the conventional data processing of acoustic emission signals enables the detection of CTF. Tool wear connected with the cutting edge micro-chipping is related to the slow increase of tool wear (mainly flank wear VB) and stable values of AE features in the normal phase of tool wear. The CTF alters the AE waveforms as well as the course of the AE features. Conventional AE signal processing en

Název v anglickém jazyce

Prediction of the catastrophic tool failure in hard turning through acoustic emission

Popis výsledku anglicky

The paper deals with a new concept for the detection and prediction of the catastrophic tool failure (CTF) of ceramic inserts using an acoustic emission (AE) technique and an associated analysis of the chip formation during hard turning of bearing steel100Cr6. The suggested method is based on the application of two sensors and the ratios of parameters of the acoustic emission such as AE RMS, AE absolute energy, and AE strength. The specific character of the segmented chips during hard turning is associated with the raw acoustic signals as well as the extracted AE features. The paper indicates that the conventional data processing of acoustic emission signals enables the detection of CTF. Tool wear connected with the cutting edge micro-chipping is related to the slow increase of tool wear (mainly flank wear VB) and stable values of AE features in the normal phase of tool wear. The CTF alters the AE waveforms as well as the course of the AE features. Conventional AE signal processing en

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JR - Ostatní strojírenství

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název periodika

Materiali in tehnologije

ISSN

1580-2949

e-ISSN

—

Svazek periodika

49

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

SI - Slovinská republika

Počet stran výsledku

9

Strana od-do

355-363

Kód UT WoS článku

000354018700007

EID výsledku v databázi Scopus

2-s2.0-84929754758