20.500.12556/RUL-170931 Analysis and optimization of micro-milling parameters for improving part quality in ultrafine graphite with varying workpiece inclination angles 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. micro-milling graphite workpiece inclination angle optimization dimensional accuracy surface quality taguchi method grey relational analysis true false true Angleški jezik Ni določen Članek v reviji 2025-07-22 08:41:02 2025-07-22 08:41:11 2025-07-23 03:58:14 0000-00-00 00:00:00 2025 0 0 Str. 75-86 no. 1 Vol. 20 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 621.941 1854-6250 10.14743/apem2025.1.528 243295747 Kramar,_Miljuskovic,_Cica_-_Analysis_and_optimization.pdf Kramar,_Miljuskovic,_Cica_-_Analysis_and_optimization.pdf 1 6BCE57591D122EECDB4B6D4B40E45AFE 1a730c64548c3fa4d9f5f659aade722329d241a31885ba51f56714788c8c00ab 44aa064d-66c7-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=213218 https://apem-journal.org/Archives/2025/Abstract-APEM20-1_075-086.html 1 d9d2f62c-66c6-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=213217 Fakulteta za strojništvo 0 0 0