2021
DOI: 10.1016/j.surfcoat.2021.127685
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Investigation of transport processes in a commercial hot wall CVD reactor with multi-substrates for high-quality pyrocarbon deposition

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Cited by 12 publications
(5 citation statements)
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“…Using NumPy, the two broad physical phenomena being modeled in this section are gas transport and pore filling. 55 This study uses the single-pore model due to its minimal complexity, which is attractive in such contexts as uncertainty quantification, where the model must have a set of process parameters that is sufficiently small as it is sampled a large number of times with changes in its inputs. 56 The single-pore model has been repeatedly validated 31,[57][58][59][60] and is summarized in this section.…”
Section: Processing To Porositymentioning
confidence: 99%
“…Using NumPy, the two broad physical phenomena being modeled in this section are gas transport and pore filling. 55 This study uses the single-pore model due to its minimal complexity, which is attractive in such contexts as uncertainty quantification, where the model must have a set of process parameters that is sufficiently small as it is sampled a large number of times with changes in its inputs. 56 The single-pore model has been repeatedly validated 31,[57][58][59][60] and is summarized in this section.…”
Section: Processing To Porositymentioning
confidence: 99%
“…Mass transport modeling plays a crucial role in CVD processes by providing insights into the complex interactions between fluid dynamics, thermodynamics, and chemical reactions, which are essential for optimizing deposition quality and efficiency. These models help elucidate the basic mechanisms of multi-species transport and their interplay with gas and surface reactions, as seen in the development of 3D CFD models for pyrocarbon deposition [80]. The integration of mass transport with chemical kinetics models, such as those for carbon-coated optical fibers, allows for the optimization of coating quality by validating different reactor models under various conditions [81].…”
Section: Mass Transport Modelingmentioning
confidence: 99%
“…Like in Sections 5.1 and 5.2, the authors examined various flow patterns at different inlet velocities and rotational speeds to identify the most favorable conditions for achieving smooth flow patterns over the wafer. Contrary to nitrogen and hydrogen, for which the data were sourced from the internal COMSOL library for the properties, the properties of ammonia were taken from the National Institute of Standards and Technology (NIST) webpage and from [42] to allow for an assessment of this system at higher pressures. Ammonia was only investigated up to a pressure of 10 atm, as it is anticipated that it would condense in the system and supply lines feeding the system above these values due to its liquid/gas transition pressure of 10.5 atm at 300 K.…”
Section: Ammoniamentioning
confidence: 99%