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- W2321120764 abstract "Nowadays, most micro-patterns are manufactured during flow line production. However, a con- ventional rotary chemical mechanical polishing (CMP) system has a limited throughput for the fabrication of large and flexible electronics. To overcome this problem, we propose a novel linear roll-CMP system for the pla- narization of large-area electronics. In this paper, we present a statistical analysis on the linear roll-CMP process of copper-clad laminate (CCL) to determine the impacts of process parameters on the material removal rate (MRR) and its non-uniformity (NU). In the linear roll-CMP process, process parameters such as the slurry flow rate, roll speed, table feed rate, and down force affect the MRR and NU. To determine the polishing char- acteristics of roll-CMP, we use Taguchi's orthogonal array L16 (44) for the experimental design and F-values obtained by the analysis of variance (ANOVA). We investigate the signal-to-noise (S/N) ratio to identify the prominent control parameters. The higher is better for the MRR and lower is better for the NU were selected for obtaining optimum CMP performance characteristics. The experimental and statistical results indicate that the down force and roll speed mainly affect the MRR and the down force and table feed rate determine the NU in the linear roll-CMP process. However, over 186.3 N of down force deteriorates the NU because of the bending of substrate. Roll speed has little relationship to the NU and the table feed rate does not impact on the MRR. This study provides information on the design parameter of roll-CMP machine and process optimization. Keywordslinear roll-CMP (선형 롤-화학기계적 연마), taguchi method (다구찌법), material removal rate (연마율), non-uniformity (불균일도)" @default.
- W2321120764 created "2016-06-24" @default.
- W2321120764 creator A5021280102 @default.
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- W2321120764 date "2014-06-30" @default.
- W2321120764 modified "2023-09-24" @default.
- W2321120764 title "Statistical Analysis on Process Variables in Linear Roll-CMP" @default.
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- W2321120764 doi "https://doi.org/10.9725/kstle.2014.30.3.139" @default.
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