The use of nanoreinforcements in automotive structural composites has provided promising improvements in their mechanical properties. For the first time, a robust statistical design of experiments approach was undertaken to demonstrate how key formulation and processing factors (nanofiber type, use of dispersing agent, mixing method, nanofiber weight fraction, and temperature) affected the dynamic mechanical properties of vapor-grown carbon nanofiber (VGCNF)/vinyl ester (VE) nanocomposites. Statistical response surface models were developed to predict nanocomposite storage and loss moduli as functions of significant factors. Only ~0.50 parts of nanofiber per hundred parts resin produced a roughly 20% increase in the storage modulus versus t...
The effects of functionalized carbon nanofiber addition on mechanical properties and behavior of vin...
A successful integration of two independent phases with good adhesion is imperative for effective tr...
International audienceIn this study, data mining and knowledge discovery techniques were employed to...
Molecular dynamics (MD) simulations have been performed to investigate the system equilibrium throug...
The effects of material/fabrication parameters on vapor-grown carbon nanofiber (VGCNF) reinforced vi...
The non-reactive Dreiding and the reactive ReaxFF atomic potentials were applied within a family of ...
vapor-grown carbon nanofiber, Vinyl ester, Unsupervised learning. In this study, data mining and kno...
A design of experiments methodology was used to investigate the effect of vaporgrown carbon nanofibe...
Tensile behavior of a carbon nanofiber reinforced vinyl ester polymer composite was studied using do...
This paper discusses the effects of carbon nanofiber surface treatment (purification and chemical fu...
Five vapor-grown carbon nanofiber (VGCNF) reinforced vinyl ester (VE) nanocomposite configurations w...
The discovery of carbon nanotubes and carbon nanofibers has created a significant opportunity to dev...
The Effective Continuum Micromechanics Analysis Code (EC-MAC) was developed for predicting effective...
The discovery of carbon nanofibers has created a significant opportunity to develop high performance...
The definition of a nanocomposite material has broadened significantly to encompass a large variety ...
The effects of functionalized carbon nanofiber addition on mechanical properties and behavior of vin...
A successful integration of two independent phases with good adhesion is imperative for effective tr...
International audienceIn this study, data mining and knowledge discovery techniques were employed to...
Molecular dynamics (MD) simulations have been performed to investigate the system equilibrium throug...
The effects of material/fabrication parameters on vapor-grown carbon nanofiber (VGCNF) reinforced vi...
The non-reactive Dreiding and the reactive ReaxFF atomic potentials were applied within a family of ...
vapor-grown carbon nanofiber, Vinyl ester, Unsupervised learning. In this study, data mining and kno...
A design of experiments methodology was used to investigate the effect of vaporgrown carbon nanofibe...
Tensile behavior of a carbon nanofiber reinforced vinyl ester polymer composite was studied using do...
This paper discusses the effects of carbon nanofiber surface treatment (purification and chemical fu...
Five vapor-grown carbon nanofiber (VGCNF) reinforced vinyl ester (VE) nanocomposite configurations w...
The discovery of carbon nanotubes and carbon nanofibers has created a significant opportunity to dev...
The Effective Continuum Micromechanics Analysis Code (EC-MAC) was developed for predicting effective...
The discovery of carbon nanofibers has created a significant opportunity to develop high performance...
The definition of a nanocomposite material has broadened significantly to encompass a large variety ...
The effects of functionalized carbon nanofiber addition on mechanical properties and behavior of vin...
A successful integration of two independent phases with good adhesion is imperative for effective tr...
International audienceIn this study, data mining and knowledge discovery techniques were employed to...