采用田口法和方差分析研究工艺参数对Si衬底上射频磁控溅射SiO2形貌和电学性能的影响

S. Uchayash, P. Biswas, Meah Imtiaz Zulkarnain, A. Touhami, Nazmul Islam, H. Huq
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摘要

本文采用田口信噪比(S/N)分析方法,研究了溅射功率、工作压力和表面氩气流量这三个工艺参数对Si衬底上射频溅射SiO2材料形貌和电学性能的影响。我们还通过应用方差分析(ANOVA)检查了特定工艺参数对这些属性的贡献。采用射频磁控溅射系统在Si衬底上制备了SiO2薄膜。为上述三个工艺参数选择了三组输入;功率方面,我们选择了100W、150W、200W;压力分别为5mTorr、10mTorr和15mTorr,氩气流量分别为5、10和15 sccm。采用田口L9正交阵列,制备了9种溅射参数组合,用于制备SiO2/Si薄膜。因此,通过分析田口实验设计,检测了溅射样品的表面形貌和电学性能(单位面积电阻率和单位面积电容)。信噪比(S/R)分析显示了各工艺参数变化对性能的影响。方差分析表明,溅射功率和工作压力是对表面形貌和电学性能影响较大的两个主要工艺参数。建立了SiO2/Si薄膜样品表面粗糙度的回归模型。而SiO2/Si薄膜的电学性能不表现为线性性质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation of the Effect and Contribution of Process Parameters By Taguchi and ANOVA Analysis on the Morphological and Electrical Properties of RF Magnetron Sputtered SiO2 Over Si Substrate
In this work, we applied Taguchi Signal-to-noise (S/N) analysis to investigate the effect of varying three process parameters, namely — sputtering power, working pressure and Ar gas flow rate on the surface, morphological and electrical properties of the RF sputtered SiO2 over Si substrate. We also inspected the contribution of a particular process parameter on these properties by applying Analysis of Variance (ANOVA). SiO2 thin films were fabricated over Si substrate using RF magnetron sputtering system. Three sets of inputs for the three mentioned process parameters were chosen; for power, we chose 100W, 150W and 200W; 5mTorr, 10mTorr and 15mTorr were chosen for pressure and three Ar gas flow rate levels at 5, 10 and 15 sccm were selected. By performing Taguchi L9 orthogonal array, nine combinations of sputtering parameters were prepared for depositing SiO2/Si Thin films. The surface morphological and electrical properties (resistivity per unit area and capacitance per unit area) of the sputtered samples were therefore inspected by analyzing the Taguchi design of experiment. Signal-to-noise (S/R) analysis presents how the properties were affected by the variation of each process parameter. ANOVA analysis showed that sputtering power and working pressure are the two dominant process parameters contributing more to surface morphological and electrical properties. A regression model for surface roughness of the SiO2/Si thin film samples was also derived. The electrical properties of the SiO2/Si thin films, however, didn’t show linear properties.
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