2008
DOI: 10.1016/j.cej.2007.05.042
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Simulation and optimization of silicon thermal CVD through CFD integrating Taguchi method

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Cited by 23 publications
(5 citation statements)
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“…When species mixing or chemical reaction are present, species conservation equations also must be solved. According to the description above, four main equations are expressed as below: 10,11,12 1. Continuity equation:…”
Section: Cfd Model and Methodsmentioning
confidence: 99%
“…When species mixing or chemical reaction are present, species conservation equations also must be solved. According to the description above, four main equations are expressed as below: 10,11,12 1. Continuity equation:…”
Section: Cfd Model and Methodsmentioning
confidence: 99%
“…In the late 1980s, it was reported that hydrogen was used to reduce tungsten hexafluoride to prepare the special-shaped metal tungsten products with high density and purity. However, these reports have little influence on the microstructures, structures, and properties of tungsten coating by the specific process and the temperature distribution inside a reactor. At present, more and more scholars have studied the CFD simulation of a CVD reactor, but few have studied the CFD simulation of a tungsten CVD reactor.…”
Section: Introductionmentioning
confidence: 99%
“…However, all of the design and control problems of process systems can be defined as an inverse problem. Some efforts of simulation-based optimization of process systems have been presented by Chiu et al, 25 Mitrovic et al, 26 Cheng et al, 27 and Po et al 28 A positive simulation model integrated with an optimal algorithm is a preferred architecture for these approaches to solve the inverse problems. Yasaka et al 29,30 briefly elaborated this inverse problem and proposed a novel simulation-based approach that made the plasma profile approximate the expected one via an appropriate control of the input power along the radial direction of the electrode.…”
Section: Introductionmentioning
confidence: 99%
“…However, all of the design and control problems of process systems can be defined as an inverse problem. Some efforts of simulation-based optimization of process systems have been presented by Chiu et al., 25 Mitrovic et al., 26 Cheng et al., 27 and Po et al. 28 A positive simulation model integrated with an optimal algorithm is a preferred architecture for these approaches to solve the inverse problems.…”
Section: Introductionmentioning
confidence: 99%