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Application of PI-VM for management of the metal target plasma etching processes in OLED display manufacturing.

Authors :
Seolhye Park
Taeyoung Cho
Yongsuk Jang
Yeongil Noh
Younghoon Choi
Taewon Cha
Juyoung Lee
Byungsoo Kim
Jae-Ho Yang
Jeong-Jin Hong
Youngkwan Park
Won-Hyouk Jang
Gon-Ho Kim
Source :
Plasma Physics & Controlled Fusion; Jan2019, Vol. 61 Issue 1, p1-1, 1p
Publication Year :
2019

Abstract

Generation of the defect particles during the plasma-assisted metal dry etching process is induced by the various mechanisms. Most of these mechanisms are caused by the non-volatility of metal-halide compounds generated during the etching process. Degeneration of the metal etching process chamber condition is observed as the frequent process fault caused by the defects, but the worse condition is not recovered by itself. Because of this property of the metal etching process, proper work of the preventive maintenance (PM) to restore the process chamber or the addition of a discharge cleaning step is required periodically. However, inadequate PM or discharge cleaning by the uncertain cause analysis of the defect generation should be a just temporary remedy, and might lead the repetition of similar problems. To solve this problem, the virtual metrology (VM) model based on the plasma information (PI) parameters, known as PI-VM, was developed and applied for the defect control of the metal layer dry etching processes in organic light emitting diode (OLED) display manufacturing. To obtain the information about the generation rates of non-volatile compounds and their removal rates by the exhaustion system, PI parameters are designed with the consideration of the reaction kinetics in the metal etching plasma volume, sheath, and reacting surface using the big data of equipment engineering system (EES) and optical emission spectroscopy (OES) accumulated during the mass production process. The developed PI-VM index could be applied to a 2–3 h earlier alarm system for the defect occurrence, and had succeeded over 90% of alarm rate. This PI-VM alarm was applied to predictive control of the process by the early substitution of the discharge cleaning step or by the repair of the proper parts in the process chamber. By the control of processes based on the predicted results of the PI-VM, management of the mass production line with about 30% decreased defect was possible in OLED display manufacturing. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
07413335
Volume :
61
Issue :
1
Database :
Complementary Index
Journal :
Plasma Physics & Controlled Fusion
Publication Type :
Academic Journal
Accession number :
133311643
Full Text :
https://doi.org/10.1088/1361-6587/aae2db