Effect of Carbon Coating on Tensile Strength of SiC Filament by Chemical Vapor Deposition

2011 ◽  
Vol 291-294 ◽  
pp. 57-60
Author(s):  
Cui Xia Liu ◽  
Yan Qing Yang ◽  
Xian Luo
Keyword(s):  
Tensile Strength ◽  
Phase Composition ◽  
Chemical Vapor Deposition ◽  
Weibull Distribution ◽  
Vapor Deposition ◽  
Carbon Coating ◽  
Chemical Vapor ◽  
Carbon Coated

The tensile strengths of carbon-coated and non carbon-coated SiC filament by Chemical Vapor Deposition were tested, respectively, which were analyzed according to double-parameter Weibull distribution. Various techniques including XRD and SEM were also used to study the phase composition and microstructure of SiC filament. The result shows that carbon coating plays a very important role on increasing the tensile strength.

scholarly journals Machine learning and a computational fluid dynamic approach to estimate phase composition of chemical vapor deposition boron carbide

2021 ◽  
Vol 10 (3) ◽  
pp. 537-550
Author(s):  
Qingfeng Zeng ◽  
Yong Gao ◽  
Kang Guan ◽  
Jiantao Liu ◽  
Zhiqiang Feng
Keyword(s):  
Phase Composition ◽  
Chemical Vapor Deposition ◽  
Boron Carbide ◽  
Computational Fluid Dynamic ◽  
Vapor Deposition ◽  
Fluid Dynamic ◽  
Chemical Vapor ◽  
Sensitivity Coefficient ◽  
Design Solution ◽  
Novel Approach

AbstractChemical vapor deposition is an important method for the preparation of boron carbide. Knowledge of the correlation between the phase composition of the deposit and the deposition conditions (temperature, inlet gas composition, total pressure, reactor configuration, and total flow rate) has not been completely determined. In this work, a novel approach to identify the kinetic mechanisms for the deposit composition is presented. Machine leaning (ML) and computational fluid dynamic (CFD) techniques are utilized to identify core factors that influence the deposit composition. It has been shown that ML, combined with CFD, can reduce the prediction error from about 25% to 7%, compared with the ML approach alone. The sensitivity coefficient study shows that BHCl2 and BCl3 produce the most boron atoms, while C2H4 and CH4 are the main sources of carbon atoms. The new approach can accurately predict the deposited boron–carbon ratio and provide a new design solution for other multi-element systems.

IR laser-induced chemical vapor deposition of carbon-coated iron nanoparticles embedded in polymer

2005 ◽  
Vol 15 (40) ◽  
pp. 4311 ◽  
Author(s):  
L. Díaz ◽  
M. Santos ◽  
C. Ballesteros ◽  
M. Maryško ◽  
J. Pola
Keyword(s):  
Chemical Vapor Deposition ◽  
Vapor Deposition ◽  
Iron Nanoparticles ◽  
Chemical Vapor ◽  
Ir Laser ◽  
Carbon Coated

Routes to 3D conformal solid-state dielectric polymers: electrodeposition versus initiated chemical vapor deposition

2015 ◽  
Vol 2 (5) ◽  
pp. 502-508 ◽  
Author(s):  
Megan B. Sassin ◽  
Jeffrey W. Long ◽  
Jean Marie Wallace ◽  
Debra R. Rolison
Keyword(s):  
Chemical Vapor Deposition ◽  
Solid State ◽  
Chemical Vapour Deposition ◽  
Vapor Deposition ◽  
Vapour Deposition ◽  
Chemical Vapour ◽  
Chemical Vapor ◽  
Initiated Chemical Vapor Deposition ◽  
Carbon Coated ◽  
Conductive Substrates

We show that two distinct methods, electropolymerization and initiated chemical vapour deposition (iCVD), can be adapted to generate ultrathin polymers (30–50 nm thick) at three dimensionally (3D) porous conductive substrates comprising ∼300 μm-thick carbon-coated silica fiber paper (C@SiO2).

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