| | SLO | ENG | Piškotki in zasebnost

Večja pisava | Manjša pisava

Izpis gradiva Pomoč

Naslov:Analysis and optimization of micro-milling parameters for improving part quality in ultrafine graphite with varying workpiece inclination angles
Avtorji:ID Kramar, Davorin (Avtor)
ID Mijušković, Goran (Avtor)
ID Cica, Djordje (Avtor)
Datoteke:URL https://apem-journal.org/Archives/2025/Abstract-APEM20-1_075-086.html
 
.pdf APEM20-1_075-086.pdf (1,98 MB)
MD5: 5C7E0276AE9F06B25CF6664B1A9DB546
 
Jezik:Angleški jezik
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FS - Fakulteta za strojništvo
Opis:Micro-milling is recognized as one of the most important manufacturing technologies for producing micro-components/products. Amongst various materials, graphite has an important role in conventional micro-electrical discharge machining electrodes. This paper is focused on the investigation of the effect of micro-milling process parameters on the dimensional accuracy and surface quality of ultrafine grain graphite TTK-4. Depth of cut, spindle speed, stepover distance and feed rate have been considered as process variables of micro ball-end milling in experimental design. Moreover, the influence of the workpiece’s inclination angle was also investigated. Taguchi’s L9 (34) orthogonal array was chosen to design the experiments, whereas grey relational analysis (GRA) was utilized for the multi-objective optimization of the micro ball end milling process with minimum dimensional deviation and minimum arithmetic mean roughness as objective functions. Furthermore, principal component analysis (PCA) was used to extract principal components and identify the corresponding weights for performance characteristics. In order to determine the significance of micro-milling parameters on overall machining performance, analysis of variance (ANOVA) was performed. The result of the study revealed that the proposed approach is adequate to address the multi-objective optimization of micro-milling parameters.
Ključne besede:micro-milling, graphite, workpiece inclination angle, optimization, dimensional accuracy, surface quality, taguchi method, grey relational analysis
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Poslano v recenzijo:28.11.2024
Datum sprejetja članka:27.02.2025
Datum objave:20.04.2025
Založnik:Fakulteta za strojništvo
Leto izida:2025
Št. strani:str. 75-86
Številčenje:Vol. 20, no. 1
PID:20.500.12556/DKUM-96582 Novo okno
UDK:621.941
COBISS.SI-ID:243295747 Novo okno
DOI:10.14743/apem2025.1.528 Novo okno
ISSN pri članku:1854-6250
Datum objave v DKUM:20.01.2026
Število ogledov:124
Število prenosov:30
Metapodatki:XML DC-XML DC-RDF
Področja:Ostalo
:
Kopiraj citat
  
Skupna ocena:(0 glasov)
Vaša ocena:Ocenjevanje je dovoljeno samo prijavljenim uporabnikom.
Objavi na:Bookmark and Share



Postavite miškin kazalec na naslov za izpis povzetka. Klik na naslov izpiše podrobnosti ali sproži prenos.

Gradivo je del revije

Naslov:Advances in production engineering & management
Skrajšan naslov:Adv produc engineer manag
Založnik:Fakulteta za strojništvo, Inštitut za proizvodno strojništvo
ISSN:1854-6250
COBISS.SI-ID:229859072 Novo okno

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Zbirka

To gradivo je del naslednjih zbirk del:
  1. Advances in production engineering & management

Komentarji

Dodaj komentar

Za komentiranje se morate prijaviti.

Komentarji (0)
0 - 0 / 0
 
Ni komentarjev!

Nazaj
Logotipi partnerjev Univerza v Mariboru Univerza v Ljubljani Univerza na Primorskem Univerza v Novi Gorici