A robust nonlinear model predictive controller for a multiscale thin film deposition process

2015 ◽  
Vol 136 ◽  
pp. 38-49 ◽  
Author(s):  
Shabnam Rasoulian ◽  
Luis A. Ricardez-Sandoval
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.


2011 ◽  
Vol 189-193 ◽  
pp. 2032-2036 ◽  
Author(s):  
Zhi Jian Wang ◽  
Xiao Feng Shang

Taking Silicon tetrachloride (SiCl4) and hydrogen (H2) as the reaction gas, by the method of plasma-enhanced chemical vapor deposition (PECVD), this paper simulates the deposition process of polycrystalline silicon thin film on the glass substrates in the software FLUENT. Three dimensional physical model and mathematics model of the simulated area are established. The reaction mechanism including main reaction equation and several side equations is given during the simulation process. The simulation results predict the velocity field, temperature distribution, and concentration profiles in the PECVD reactor. The simulation results show that the deposition rate of silicon distribution is even along the circumference direction, and gradually reduced along the radius direction. The deposition rate is about 0.005kg/(m2•s) at the center. The simulated result is basically consistent with the practical one. It means that numerical simulation method to predict deposition process is feasible and the results are reliable in PECVD system.


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

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