The deposition of thin films on to a solid substrate has become an important materials processing technique and is of interest in many applications such as those involved with the fabrication of micro-electronic circuits, optical and magnetic devices, etc. Thin films are generally deposited by the process of Chemical Vapor Deposition (CVD).This work is directed at the simulation and optimization of the CVD process in a vertical impinging CVD reactor for material fabrication, focusing on the rate of deposition and on the uniformity of the thin film obtained. This work considers the deposition of Silicon from Silane. Numerical simulations are used to determine the effect of important design variables on the deposition rate and film characteristics. Then Response surfaces are created using the Compromise Response Surface Method (CRSM) to approximate the responses for the range of design variables considered. Then stochastic optimization is performed using the Mean Value Method (MVM) on the resulting response surfaces to find the optimal values of the design variables for various levels of uncertainty.
The deposition of thin films on to a solid substrate has become an important materials processing technique and is of interest in many applications such as those involved with the fabrication of micro-electronic circuits, optical and magnetic devices, etc. Thin films are generally deposited by the process of Chemical Vapor Deposition (CVD).This work is directed at the simulation and optimization of the CVD process in a vertical impinging CVD reactor for material fabrication, focusing on the rate of deposition and on the uniformity of the thin film obtained. This work considers the deposition of Silicon from Silane. Numerical simulations are used to determine the effect of important design variables on the deposition rate and film characteristics. Then Response surfaces are created using the Compromise Response Surface Method (CRSM) to approximate the responses for the range of design variables considered. Then stochastic optimization is performed using the Mean Value Method (MVM) on the resulting response surfaces to find the optimal values of the design variables for various levels of uncertainty.
Chemical Vapor Deposition Polymerization - The Growth and Properties of Parylene Thin Films is intended to be valuable to both users and researchers of parylene thin films. It should be ...
Principles of Chemical Vapor Deposition provides a simple introduction to heat and mass transfer, surface and gas phase chemistry, and plasma discharge characteristics. In ...
The magneto luminous chemical vapor deposition (MLCVD) method is the perfect example of the "front-end green process." It employs an entirely new process that expends the minimum amount of materials...
Providing in-depth coverage of the technologies and various approaches, Luminous Chemical Vapor Deposition and Interface Engineering showcases the development and utilization of LCVD procedures in...
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