Jaka Dugar (Avtor), Awais Ikram (Avtor), Franci Pušavec (Avtor)

Povzetek

The sintered zinc oxide (ZnO) electro-ceramics are a brittle class of hard-to-cut materials such that shaping them with the post-finishing operations necessitates careful handling and precision machining. The conventional machining approach using the grinding and lapping processes represents limited productivity, an inability to produce the required geometries and frequent uncontrolled chipping of the edges of the final products. This study thus investigates the turning performance of dense sintered ZnO varistors and chip formations to obtain the parametric range (cutting mechanism) which causes the chipping or the trans-granular/sudden failure in these brittle materials. With the analysis of the cutting tool vibration in relation to the machining parameters (f and VC), the vibration-induced chipping correlations are made and interlinked with the occurrence of grain pull-out during the turning operation. The results show that the reflected vibratory motion of the tools is directly correlated with the chip formation mechanisms in the turning of ZnO ceramics and thus provide robust measurements for quality assurance in final products.

Ključne besede

ZnO varistorji;optimizacija parametrov obdelave;struženje;formiranje odrezkov;ZnO varistors;machining optimization;turning;chipping;accelerometer;FFT plotting;3D topography;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UL FS - Fakulteta za strojništvo
UDK: 621.941(045)
COBISS: 80316675 Povezava se bo odprla v novem oknu
ISSN: 2227-9717
Št. ogledov: 172
Št. prenosov: 69
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Slovenski jezik
Sekundarne ključne besede: ZnO varistorji;optimizacija parametrov obdelave;struženje;formiranje odrezkov;
Vrsta dela (COBISS): Članek v reviji
Strani: str. 1-20
Letnik: ǂVol. ǂ9
Zvezek: ǂiss. ǂ8
Čas izdaje: 2021
DOI: 10.3390/pr9081422
ID: 13748132
Priporočena dela:
, optimizacija parametrov obdelave z uporabo metod umetne inteligence
, magistrsko delo magistrskega študijskega programa II. stopnje Strojništvo
, diplomska naloga visokostrokovnega študija