研究生: |
張菀真 Chang, Wan-Chen |
---|---|
論文名稱: |
殘氣之多變量分析在濺鍍製程監控的應用 Health Monitoring of a Sputter Process using Multivariate Statistical Analysis of Residual Gas Compositions |
指導教授: |
汪上曉
Wong, David Shan-Hill |
口試委員: | |
學位類別: |
碩士 Master |
系所名稱: |
工學院 - 化學工程學系 Department of Chemical Engineering |
論文出版年: | 2010 |
畢業學年度: | 98 |
語文別: | 英文 |
論文頁數: | 62 |
中文關鍵詞: | 濺鍍製程 、製程管理 、液晶顯示面板製程 |
外文關鍵詞: | sputtering, process control, LCD process |
相關次數: | 點閱:1 下載:0 |
分享至: |
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
LCD has been the most developing industry in Taiwan in the latest decades and is facing not only quality and cost problem when production increase and enlargement of panel size but also the fierce competitions come from other countries. Array process in LCD manufacturing is similar to semiconductor manufacturing process, where multivariable analysis has been applied on the monitoring and fault detection and has numbers of successful cases regarding process diagnosis and control.
Splash is fine melt particles formed in the sputtering process which reduce quality of products. And more than one factor lead to this defect. Analysis of residual gas is used to attribute the root factor of splash. First, it is necessary to decrease the dimensions of such a considerable dataset in batch process. Variables are chosen based on operation recipe or the physical meaning and separated to mean part, time scaling and residual. Obvious decay trends are discovered in time scaling, which is also regards as an important factor causing splash. A key residual gas V13 largely increases after preventive maintenance (PM) of equipment and lead to splash. Moreover, when V13 is back to a stable state, other two residual gases with high value are found leading to a high probability of splash. Besides, a multivariable analysis is applied on the residuals to examine that no incorrect operation causes splash.
1. http://www.auo.com.tw/auoDEV/technology.php?sec=tftProcess&ls=en (access data:2009/08/18)
2. (a) Edgar, T.F.; Butler, S.W.; Campbell, W.J.; Pfeiffer, C.; Bode, C.; Hwang, S.B.; Balakrishnan, K.S.; Hahn, J., "Automatic control in microelectronics manufacturing: practices, challenges, and possibilities" Automatica 2000 pp. 1567-1603 (b) Moyne, J., Run-to-Run Control in Semiconductor Manufacturing, CRC Press, Florida, (2001) (c) Castillo, E.D., Statistical Process Adjustment for Quality Control, John-Wiley and Sons, New York, (2002)
3. http://www.lgphilips-lcd.com/homeContain/jsp/eng/tech/tech220_j_e.jsp (access data:2009/08/18)
4. http://www.managers-net.com/statistical_process_control.html (access data:2009/08/18)
5. Sachs, E., Hub, A. and Ingolfsson A., “Run by run process control: combining SPC and feedback control. “ IEEE Transactions on Semiconductor Manufacturing, 8, 26-43 (1995)
6. Moyne, J.,”Run-to-Run Control in Semiconductor Manufacturing”, CRC Press, Florida, (2001)
7. O’Mara, W.C.,” Liquid Crystal Flat Panel Displays",( 1993)
8. Takagi K.; Iwasaki Y.; Ehira M.; Nanbu A.; Ochi M.; Goto H.; Kawakami N., “Al-ni-la-si system al-based alloy sputtering target and process for producing the same,” USPTO Application #:20090026072 (2009)
9. Li Da, Varadarajan Ganesh Kumar, Arthur Tay, Abdullah Al Mamun, Weng Khuen Ho, Alex See and Lap Chan, “Run-to-Run Process Control for Chemical Mechanical Polishing in Semiconductor Manufacturing”, IEEE International Symposium on Intelligent Control - Proceedings, pp. 740-745, 2002.
10. Nomikos, P. and MacGregor, J. F. (1995) “Multivariate SPC Chart for Monitoring Batch Processes,” Technometrics, 37,41-59
11. Akima, H., “A New Method of Interpolation and Smooth Curve Fitting Based on Local Procedures,” Journal of Quality Technology, Vol. 27, 99-108
12. Lee, S.P.; Chao, A.G.; Tsung, F.; Wong, D.S.H.; Tseng S.T.; Jang, S.S., “Health Monitoring of Batch Processes with Multi-On-Off-Stage in Semiconductor Manufacturing,” paper submitted to Journal of Quality Control(2007)