@inproceedings{8ab464ae092d4d7c9b577c964c5acfaf,
title = "An in situ end-point detection system using motor power signal for chemical mechanical planarization process",
abstract = "Accurate determination of a chemical mechanical planarization (CMP) process reaching the end point is an important problem in the CMP process. In present work, the variation of the motor power signal of the polishing platen in the CMP process has been investigated, and the moving average method with 121-points moving window was used to smooth the original signal curve. Experiment results showed that the processed signal could facilitate the extraction of end-point feature for the in-situ end-point detection (EPD) system and it was relatively steady before and after the layer transition stage, which made it more reliable to detect the end point in situ. Comparing with other EPD methods, the system was less complicated, and it was easier to write algorithm code. Finally, further analysis was performed and series of experiments provided a planarized via-revealed wafer surface with low via dishing.",
keywords = "Chemical mechanical planarization, End-point detection, Motor power",
author = "Hongkai Li and Tongqing Wang and Dewen Zhao and Jianbin Luo and Xinchun Lu",
note = "Publisher Copyright: {\textcopyright} 2017 Trans Tech Publications, Switzerland.; International Conference on Engineering Tribology and Applied Technology, ICETAT 2016 ; Conference date: 04-11-2016 Through 06-11-2016",
year = "2017",
doi = "10.4028/www.scientific.net/KEM.739.75",
language = "English",
isbn = "9783035710762",
series = "Key Engineering Materials",
publisher = "Trans Tech Publications Ltd.",
pages = "75--80",
editor = "Hwang, {Yunn Lin} and Horng, {Jeng Haur}",
booktitle = "Engineering Tribology and Materials - ICETAT 2016",
address = "Switzerland",
}