Predictive control of aggregate surface morphology in a two-stage thin film deposition process for improved light trapping

Author(s):  
Jianqiao Huang ◽  
G. Orkoulas ◽  
P. D. Christofides
2010 ◽  
Vol 65 (16) ◽  
pp. 4720-4731 ◽  
Author(s):  
Xinyu Zhang ◽  
Gangshi Hu ◽  
Gerassimos Orkoulas ◽  
Panagiotis D. Christofides

2004 ◽  
Vol 128 (1) ◽  
pp. 315-325 ◽  
Author(s):  
Jionghua Jin ◽  
Huairui Guo ◽  
Shiyu Zhou

This paper presents a supervisory generalized predictive control (GPC) by combining GPC with statistical process control (SPC) for the control of the thin film deposition process. In the supervised GPC, the deposition process is described as an ARMAX model for each production run and GPC is applied to the in situ thickness-sensing data for thickness control. Supervisory strategies, developed from SPC techniques, are used to monitor process changes and estimate the disturbance magnitudes during production. Based on the SPC monitoring results, different supervisory strategies are used to revise the disturbance models and the control law in the GPC to achieve a satisfactory control performance. A case study is provided to demonstrate the developed methodology.


Author(s):  
Monoj Kumar Singha ◽  
Vineet Rojwal

Thin film is used for sensing and electronic devices applications. Various techniques are used for thin film deposition. This chapter presents the Spray pyrolysis deposition technique used for the growth of thin films sensing and device material. Spray pyrolysis is an inexpensive method to grow good crystalline thin film compared to other thin film deposition techniques. The chapter gives an overview of the spray process used for thin film deposition. Basic setup for this process is explained. Parameters affecting the deposition process is explained, as are the various spray methods. Finally, some examples of spray pyrolysis in different applications like a gas sensor, UV photodetector, solar cell, photocatalysis, and supercapacitor are discussed.


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