电弧
薄脆饼
弧(几何)
半导体器件制造
材料科学
沉积(地质)
波形
信号(编程语言)
物理气相沉积
小波
电子工程
静电放电
信号处理
噪音(视频)
电极
电气工程
光电子学
电压
计算机科学
工程类
机械工程
涂层
数字信号处理
物理
纳米技术
人工智能
古生物学
量子力学
图像(数学)
程序设计语言
沉积物
生物
作者
Kommisetti Subrahmanyam,Scott Singlevich,P.D. Ewing,Michael H. Johnson
标识
DOI:10.1109/tsm.2013.2283053
摘要
Bi-polar arcs require a high voltage difference between two closely spaced points. As an example, if there is excessive deposition or contamination on the deposition and or cover ring in a physical vapor deposition tool (PVD) tool, a DC bipolar arc can occur leading to ablation of underlying materials, wafer breakage, or chamber damage caused by the discharge. In some cases these incidents are not identified until numerous wafers have been processed. Therefore, it is essential to identify arcing at the time of the event. In this paper, we address arc detection in a PVD chamber. The electrostatic chuck (ESC) critical parameter(s) are captured with 1000 Hz sampling frequency and signal processing techniques such as FFT and wavelet transforms are used to improve the signal-to-noise ratio enhancing the ability to isolate arcs from raw data. This methodology can be implemented on other plasma chamber types.
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