Real time monitoring of thickness of silicon membrane during wet etching using a novel surface acoustic wave sensor

Chi Yuan Lee, Tsung Tsong Wu, Yung Yu Chen, Ying Chou Cheng, Wen Jong Chen, Shih Yung Pao, Pei Zen Chang, Ping Hei Chen, Kai Hsiang Yen, Fu Yuan Xiao

研究成果: Conference article

1 引文 斯高帕斯(Scopus)

摘要

This study presents a novel method based on the surface acoustic wave (SAW) sensor, for monitoring the thickness of a silicon membrane in real time during wet etching. Similar to accelerometers and pressure sensors, some micro-electro-mechanical systems (MEMS) devices require the thickness of silicon membranes to be known precisely. Precisely controlling the thickness of a silicon membrane during wet etching is important, because the thickness strongly affects post-processing and device performance. Moreover, the proposed surface acoustic wave sensor allows the thickness of a silicon membrane to be monitored from a few μm to hundreds of μm in situ, which depends on the periodicity of interdigital transducers (IDT). A novel method, which differs from any in previous work on etch-stop techniques, is developed in-situ for monitoring the thickness of a silicon membrane during wet etching. In summary, the proposed method for measuring the thickness of a silicon membrane in real time, is highly accurate; is simple to implement, and can be mass-produced. This work also describes the principles of the method used, detailed process flows, the method of taking measurements and the simulated and experimental results. The theoretical and measured values differ by an error of less than 2.50μm, so the results closely agree with each other.

原文English
頁(從 - 到)319-330
頁數12
期刊Proceedings of SPIE - The International Society for Optical Engineering
5455
DOIs
出版狀態Published - 2004 十二月 2
事件MEM, MOEMS, and Micromachining - Strasbourg, France
持續時間: 2004 四月 292004 四月 30

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

指紋 深入研究「Real time monitoring of thickness of silicon membrane during wet etching using a novel surface acoustic wave sensor」主題。共同形成了獨特的指紋。

  • 引用此