2018
DOI: 10.1007/s12034-017-1535-5
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Factorial design, processing, characterization and microstructure analysis of PIP-based C/SiC composites

Abstract: Polymer impregnation and pyrolysis (PIP) process-based C/SiC composites are fabricated using the in-house synthesized methyl-polycarbosilane (PCS). Two-level factorial design matrix is employed to carry out experiments to study the effect of four factors on flexural strength of the composite. Total sixteen sets of composite samples are fabricated. Response table, normal probability plot, ANOVA and regression analysis are carried out to determine the statistical significant factors. Composite density (ρ), fibre… Show more

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Cited by 15 publications
(27 citation statements)
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“…Critical process parameters are identified using the response table, normal probability curve, analysis of variance (ANOVA), and regression analysis. Apart from the processing parameters like pyrolysis temperature, rate of heating and ceramic yield of the PCS precursor, etc., physical properties of the C/SiC composites like fiber properties, preform type, fiber volume fraction (V f ), density, and test specimen size play vital role to obtain mechanical and thermal properties from a given composite [12,[39][40][41]. Two-level full fractional design of experiments was employed to develop the experimental matrix and to carry out the desired experiments [12], through the factorial design, the most influential parameters are identified.…”
Section: Important Process Parametersmentioning
confidence: 99%
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“…Critical process parameters are identified using the response table, normal probability curve, analysis of variance (ANOVA), and regression analysis. Apart from the processing parameters like pyrolysis temperature, rate of heating and ceramic yield of the PCS precursor, etc., physical properties of the C/SiC composites like fiber properties, preform type, fiber volume fraction (V f ), density, and test specimen size play vital role to obtain mechanical and thermal properties from a given composite [12,[39][40][41]. Two-level full fractional design of experiments was employed to develop the experimental matrix and to carry out the desired experiments [12], through the factorial design, the most influential parameters are identified.…”
Section: Important Process Parametersmentioning
confidence: 99%
“…The following steps were used [12]: a) Identifying the important and influential process parameters which can be controlled independently as factors b) Fixing of the upper and lower limits of the identified factors c) Developing the experimental design matrix using factorial design of experiments d) Conducting the experiments as per the design matrix e) Assessing the real or chance effect of the factors by constructing response table and normal probability plot f) Analyzing the results using analysis of variance (ANOVA) g) Developing linear expression to estimate flexural strength of UD C/SiC composite as a function of the factors…”
Section: Scheme Of Investigationmentioning
confidence: 99%
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