Browse > Article
http://dx.doi.org/10.4313/TEEM.2013.14.2.71

Optical In-Situ Plasma Process Monitoring Technique for Detection of Abnormal Plasma Discharge  

Hong, Sang Jeen (Department of Electronic Engineering, Myongji University)
Ahn, Jong Hwan (Department of Electronic Engineering, Myongji University)
Park, Won Taek (Department of Electronic Engineering, Myongji University)
May, Gary S. (School of Electrical and Computer Engineering, Georgia Institute of Technology)
Publication Information
Transactions on Electrical and Electronic Materials / v.14, no.2, 2013 , pp. 71-77 More about this Journal
Abstract
Advanced semiconductor manufacturing technology requires methods to maximize tool efficiency and improve product quality by reducing process variability. Real-time plasma process monitoring and diagnosis have become crucial for fault detection and classification (FDC) and advanced process control (APC). Additional sensors may increase the accuracy of detection of process anomalies, and optical monitoring methods are non-invasive. In this paper, we propose the use of a chromatic data acquisition system for real-time in-situ plasma process monitoring called the Plasma Eyes Chromatic System (PECS). The proposed system was initially tested in a six-inch research tool, and it was then further evaluated for its potential to detect process anomalies in an eight-inch production tool for etching blanket oxide films. Chromatic representation of the PECS output shows a clear correlation with small changes in process parameters, such as RF power, pressure, and gas flow. We also present how the PECS may be adapted as an in-situ plasma arc detector. The proposed system can provide useful indications of a faulty process in a timely and non-invasive manner for successful run-to-run (R2R) control and FDC.
Keywords
Advanced process control; Plasma process monitoring; Plasma arc detection;
Citations & Related Records
연도 인용수 순위
  • Reference
1 J. Moyne, H. Haji, K. Beatty, and R. Lewandowski, IEEE Trans. Semi. Manufac., 30, 408 (2007) [DOI: http://dx.doi.org/10.1109/ TSM.2007.907617].
2 S. J. Qin, G. Cherry, R. Good, J. Wang, and C. A. Harrison, J. of Process Control, 16, 171 (2006) [DOI: http://dx.doi. org/10.1016/j.jprocont.2005.06.002].   DOI   ScienceOn
3 P. Kang, H. Lee, S. Cho, D. Kim, J. Park, C. Park, and S. Doh, Expert Systems with Applications, 39, 12554 (2009) [DOI: http:// dx.doi.org/10.1016/j.eswa.2009.05.053].   DOI   ScienceOn
4 Y. Kim, K. Baek, S. Lee, S. Lee, J. Lee, Y. Jee, C. Kang, H. Cho, and J. Moon, Int. Symp. Semi. Manufac., 346 (2006) [DOI: http:// dx.doi.org/10.1109/ISSM.2006.4493103].   DOI
5 S. Dolins, A. Srivastave, and B. Flinchbaugh, IEEE Trans. Semi. Manufac., 1, 23 (1988) [DOI: http://dx.doi.org/10.1109/66.4369].   DOI   ScienceOn
6 G. May and C. Spanos, IEEE Trans. Semi. Manufac., 6, 28 (1993) [DOI: http://dx.doi.org/10.1109/66.210656].   DOI   ScienceOn
7 S. Hong and G. May, "Neural Network-based Real-time Malfunction Diagnosis of Reactive Ion Etching Using in-situ Metrology Data," IEEE Trans. Semi. Manufac., 17, 408 (2004) [DOI: http://dx.doi.org/10.1109/TSM.2004.831952].   DOI   ScienceOn
8 C. J. Kang and S. C. Park, "Semiconductor Patterning Technology for Nano Devices," Current Applied Physics, 8, 656 (2008) [DOI: http://dx.doi.org/10.1016/j.cap.2007.04.059].   DOI   ScienceOn
9 P. C. Russel, I. Khandaker, E. Glavas, D. Alston, R.V. Smith, and G.R. Jones, IEE Proc. Sci. Meas. Technol., 141, 99 (1994) [DOI: http://dx.doi.org/10.1049/ip-smt:19949850].   DOI   ScienceOn
10 M. Sato, H. Ohtake, K. Suzuki, S. Samukawa, J. Vac. Sci. & Tech. A: Vacuum, Surface, and Films, 25, 1594 (2007) [DOI: http:// dx.doi.org/10.1116/1.2796180].   DOI   ScienceOn