37 research outputs found
Polystyrene-based nanocomposites with different fillers: fabrication and mechanical properties
The paper presents a comprehensive analysis of elastic properties of
polystyrene-based nanocomposites filled with different types of inclusions:
small spherical particles (SiO2 and Al2O3), alumosilicates (montmorillonite,
halloysite natural tubules and Mica) and carbon nanofillers (carbon black and
multi-walled carbon nanotubes). Composites were fabricated by melt technology.
The analysis of composite melts showed that the introduction of
Montmorillonite, Multi-walled carbon nanotubes, and Al2O3 particles provided an
increase in melt viscosity by an average of 2 to 5 orders of magnitude over the
pure polystyrene. Block samples of composites with different filler
concentrations were prepared, and their linear and nonlinear elastic properties
were studied. The introduction of more rigid particles led to a more profound
increase in the elastic modulus of the composite, with the highest rise of
about 80% obtained with carbon fillers. Carbon black particles provided also an
enhanced strength at break of about 20% higher than that of pure polystyrene.
The nonlinear elastic moduli of composites were shown to be more sensitive to
addition of filler particles to the polymer matrix than the linear ones. The
nonlinearity coefficient comprising the combination of linear and
nonlinear elastic moduli of a material demonstrated considerable changes
correlating with changes of the Young's modulus. The absolute value of
showed rise in 1.5-1.6 times in the CB- and HNT-containing composites as
compared to that of pure PS. The changes in nonlinear elasticity of fabricated
composites were compared with measurements of the parameters of bulk nonlinear
strain waves in them. Variations of wave velocity and decay decrement
correlated with observed enhancement of materials nonlinearity
Testing the time series for stationarity in systems for processing of experimental data
We propose a criterion for estimating the experimentally obtained time series for stationarity. The criterion makes it possible to automatically choose in real time the corresponding process of further processing and analyzing the recorded information and, correspondingly, improve reliability of the spectral estimates of a signal. The step-by-step estimation algorithm is presented. © 2013 Springer Science+Business Media New York
Experimental evaluation of inhomogeneous nonlinear refractive index distribution using time-resolved inline digital holography
publishedVersionNon peer reviewe
Investigation of Nonlinear Optical Properties of Quantum Dots Deposited onto a Sample Glass Using Time-Resolved Inline Digital Holography
We report on the application of time-resolved inline digital holography in the study of the nonlinear optical properties of quantum dots deposited onto sample glass. The Fresnel diffraction patterns of the probe pulse due to noncollinear degenerate phase modulation induced by a femtosecond pump pulse were extracted from the set of inline digital holograms and analyzed. The absolute values of the nonlinear refractive index of both the sample glass substrate and the deposited layer of quantum dots were evaluated using the proposed technique. To characterize the inhomogeneous distribution of the samples’ nonlinear optical properties, we proposed plotting an optical nonlinearity map calculated as a local standard deviation of the diffraction pattern intensities induced by noncollinear degenerate phase modulation.publishedVersionPeer reviewe
The mobile experimental complex for studying of electromagnetic fields generated in a wide frequency range in an industrial environment
© 2014 IEEE. The mobile experimental complex was created by the authors for research of the electromagnetic (EM) fields generated by the electrical equipment and the elements of electric power systems in a wide frequency range. The description of the architecture and composition of the equipment is given, and its functionalities are considered. The complex is used to monitor the EM environment of objects for the purpose of solving of problems of electromagnetic compatibility (EMC). The results of monitor studies of the EM environment at two energy and industry sites are given
The mobile experimental complex for studying of electromagnetic fields generated in a wide frequency range in an industrial environment
© 2014 IEEE. The mobile experimental complex was created by the authors for research of the electromagnetic (EM) fields generated by the electrical equipment and the elements of electric power systems in a wide frequency range. The description of the architecture and composition of the equipment is given, and its functionalities are considered. The complex is used to monitor the EM environment of objects for the purpose of solving of problems of electromagnetic compatibility (EMC). The results of monitor studies of the EM environment at two energy and industry sites are given
The mobile experimental complex for studying of electromagnetic fields generated in a wide frequency range in an industrial environment
© 2014 IEEE. The mobile experimental complex was created by the authors for research of the electromagnetic (EM) fields generated by the electrical equipment and the elements of electric power systems in a wide frequency range. The description of the architecture and composition of the equipment is given, and its functionalities are considered. The complex is used to monitor the EM environment of objects for the purpose of solving of problems of electromagnetic compatibility (EMC). The results of monitor studies of the EM environment at two energy and industry sites are given
Testing the time series for stationarity in systems for processing of experimental data
We propose a criterion for estimating the experimentally obtained time series for stationarity. The criterion makes it possible to automatically choose in real time the corresponding process of further processing and analyzing the recorded information and, correspondingly, improve reliability of the spectral estimates of a signal. The step-by-step estimation algorithm is presented. © 2013 Springer Science+Business Media New York