TY  - JOUR
AU  - Stajčić, Ivana
AU  - Stajčić, Aleksandar
AU  - Serpa, Cristina
AU  - Vasiljević-Radović, Dana
AU  - Ranđelović, Branislav
AU  - Radojević, Vesna
AU  - Fecht, Hans
PY  - 2022
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10576
AB  - Polymers and polymer matrix composites are commonly used materials with applications extending from packaging materials to delicate electronic devices. Epoxy resins and fiber-reinforced epoxy-based composites have been used as adhesives and construction parts. Fractal analysis has been recognized in materials science as a valuable tool for the microstructural characterization of composites by connecting fractal characteristics with composites’ functional properties. In this study, fractal reconstructions of different microstructural shapes in an epoxy-based composite were performed on field emission scanning electron microscopy (FESEM) images. These images were of glass fiber reinforced epoxy as well as a hybrid composite containing both glass and electrospun polystyrene fibers in an epoxy matrix. Fractal reconstruction enables the identification of self-similarity in the fractal structure, which represents a novelty in analyzing the fractal properties of materials. Fractal Real Finder software, based on the mathematical affine fractal regression model, was employed to reconstruct different microstructure shapes and calculate fractal dimensions to develop a method of predicting the optimal structure–property relations in composite materials in the future.
T2  - Fractal and Fractional
T1  - Microstructure of Epoxy-Based Composites: Fractal Nature Analysis †
VL  - 6
IS  - 12
SP  - 741
DO  - 10.3390/fractalfract6120741
ER  - 

@article{
author = "Stajčić, Ivana and Stajčić, Aleksandar and Serpa, Cristina and Vasiljević-Radović, Dana and Ranđelović, Branislav and Radojević, Vesna and Fecht, Hans",
year = "2022",
abstract = "Polymers and polymer matrix composites are commonly used materials with applications extending from packaging materials to delicate electronic devices. Epoxy resins and fiber-reinforced epoxy-based composites have been used as adhesives and construction parts. Fractal analysis has been recognized in materials science as a valuable tool for the microstructural characterization of composites by connecting fractal characteristics with composites’ functional properties. In this study, fractal reconstructions of different microstructural shapes in an epoxy-based composite were performed on field emission scanning electron microscopy (FESEM) images. These images were of glass fiber reinforced epoxy as well as a hybrid composite containing both glass and electrospun polystyrene fibers in an epoxy matrix. Fractal reconstruction enables the identification of self-similarity in the fractal structure, which represents a novelty in analyzing the fractal properties of materials. Fractal Real Finder software, based on the mathematical affine fractal regression model, was employed to reconstruct different microstructure shapes and calculate fractal dimensions to develop a method of predicting the optimal structure–property relations in composite materials in the future.",
journal = "Fractal and Fractional",
title = "Microstructure of Epoxy-Based Composites: Fractal Nature Analysis †",
volume = "6",
number = "12",
pages = "741",
doi = "10.3390/fractalfract6120741"
}

Stajčić, I., Stajčić, A., Serpa, C., Vasiljević-Radović, D., Ranđelović, B., Radojević, V.,& Fecht, H.. (2022). Microstructure of Epoxy-Based Composites: Fractal Nature Analysis †. in Fractal and Fractional, 6(12), 741.
https://doi.org/10.3390/fractalfract6120741

Stajčić I, Stajčić A, Serpa C, Vasiljević-Radović D, Ranđelović B, Radojević V, Fecht H. Microstructure of Epoxy-Based Composites: Fractal Nature Analysis †. in Fractal and Fractional. 2022;6(12):741.
doi:10.3390/fractalfract6120741 .

Stajčić, Ivana, Stajčić, Aleksandar, Serpa, Cristina, Vasiljević-Radović, Dana, Ranđelović, Branislav, Radojević, Vesna, Fecht, Hans, "Microstructure of Epoxy-Based Composites: Fractal Nature Analysis †" in Fractal and Fractional, 6, no. 12 (2022):741,
https://doi.org/10.3390/fractalfract6120741 . .

TY  - JOUR
AU  - Mitić, Vojislav V.
AU  - Ribar, Srđan
AU  - Ranđelović, Branislav M.
AU  - Lu, Chunan
AU  - Radović, Ivana M.
AU  - Stajčić, Aleksandar
AU  - Novaković, Igor
AU  - Vlahović, Branislav
PY  - 2020
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/9792
AB  - This research is based on the idea to design the interface structure around the grains and thin layers between two grains, as a possible solution for deep microelectronic parameters integrations. The experiments have been based on nano-BaTiO3 powders with Y-based additive. The advanced idea is to create the new observed directions to network microelectronic characteristics in thin films coated around and between the grains on the way to get and compare with global results on the samples. Biomimetic similarities are artificial neural networks which could be original method and tools that we use to map input-output data and could be applied on ceramics microelectronic parameters. This mapping is developed in the manner like signals that are processed in real biological neural networks. These signals are processed by using artificial neurons, which have a simple function to process input signal, as well as adjustable parameter which represents sensitivity to inputs. The integrated network output presents practically the large number of inner neurons outputs sum. This original idea is to connect analysis results and neural networks. It is of the great importance to connect microcapacitances by neural network with the goal to compare the experimental results in the bulk samples measurements and microelectronics parameters. The result of these researches is the study of functional relation definition between consolidation parameters, voltage (U), consolidation sintering temperature and relative capacitance change, from the bulk sample surface down to the coating thin films around the grains. © 2020 World Scientific Publishing Company.
T2  - Modern Physics Letters B
T1  - Neural networks and microelectronics parameters distribution measurements depending on sintering temperature and applied voltage
VL  - 34
IS  - 35
DO  - 10.1142/S0217984921501724
ER  - 

@article{
author = "Mitić, Vojislav V. and Ribar, Srđan and Ranđelović, Branislav M. and Lu, Chunan and Radović, Ivana M. and Stajčić, Aleksandar and Novaković, Igor and Vlahović, Branislav",
year = "2020",
abstract = "This research is based on the idea to design the interface structure around the grains and thin layers between two grains, as a possible solution for deep microelectronic parameters integrations. The experiments have been based on nano-BaTiO3 powders with Y-based additive. The advanced idea is to create the new observed directions to network microelectronic characteristics in thin films coated around and between the grains on the way to get and compare with global results on the samples. Biomimetic similarities are artificial neural networks which could be original method and tools that we use to map input-output data and could be applied on ceramics microelectronic parameters. This mapping is developed in the manner like signals that are processed in real biological neural networks. These signals are processed by using artificial neurons, which have a simple function to process input signal, as well as adjustable parameter which represents sensitivity to inputs. The integrated network output presents practically the large number of inner neurons outputs sum. This original idea is to connect analysis results and neural networks. It is of the great importance to connect microcapacitances by neural network with the goal to compare the experimental results in the bulk samples measurements and microelectronics parameters. The result of these researches is the study of functional relation definition between consolidation parameters, voltage (U), consolidation sintering temperature and relative capacitance change, from the bulk sample surface down to the coating thin films around the grains. © 2020 World Scientific Publishing Company.",
journal = "Modern Physics Letters B",
title = "Neural networks and microelectronics parameters distribution measurements depending on sintering temperature and applied voltage",
volume = "34",
number = "35",
doi = "10.1142/S0217984921501724"
}

Mitić, V. V., Ribar, S., Ranđelović, B. M., Lu, C., Radović, I. M., Stajčić, A., Novaković, I.,& Vlahović, B.. (2020). Neural networks and microelectronics parameters distribution measurements depending on sintering temperature and applied voltage. in Modern Physics Letters B, 34(35).
https://doi.org/10.1142/S0217984921501724

Mitić VV, Ribar S, Ranđelović BM, Lu C, Radović IM, Stajčić A, Novaković I, Vlahović B. Neural networks and microelectronics parameters distribution measurements depending on sintering temperature and applied voltage. in Modern Physics Letters B. 2020;34(35).
doi:10.1142/S0217984921501724 .

Mitić, Vojislav V., Ribar, Srđan, Ranđelović, Branislav M., Lu, Chunan, Radović, Ivana M., Stajčić, Aleksandar, Novaković, Igor, Vlahović, Branislav, "Neural networks and microelectronics parameters distribution measurements depending on sintering temperature and applied voltage" in Modern Physics Letters B, 34, no. 35 (2020),
https://doi.org/10.1142/S0217984921501724 . .

TY  - CONF
AU  - Stajčić, Aleksandar
AU  - Radović, Ivana
AU  - Dodevski, Vladimir
AU  - Stajić-Trošić, Jasna
AU  - Vorkapić, Miloš
AU  - Vasiljević-Radović, Dana
PY  - 2019
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10862
AB  - The focus of this study is on the preparation and characterization of magnetic nanocomposite membranes for gas separation. Magnetic nanoparticles of strontium ferrite (SrFe12O19) were incorporated into ethylcellulose via solvent casting method, in order to promote oxygen diffusion against nitrogen. The influence of the nanoparticle content on the mechanical and separation properties of the nanocompositewas investigatedusing micro Vickers method and tensile test. In order to identify the structures formed by membrane processing, various analyzes were performed, such as scanning electron microscopy (FESEM), atomic force microscopy (AFM), and infrared spectroscopy with Fourier transformation (FTIR). The permeability of magnetic nanocomposite membranes was tested by monitoring the output pressure change of the nitrogen and oxygen mixtures, as well as pure nitrogen. It has been established that all of the starting components have remained intact during processing, indicating that an appropriate processing method was chosen. Nanocomposite membranes with a higher content of magnetic nanoparticles have shown a significant improvement in mechanical properties compared to pure ethylcellulose, with high permeability. These findings have shown that nanocomposite membranes based on ethylcellulose are an excellent candidate for gas separation.
PB  - Belgrade : Serbian Ceramic Society
C3  - Advanced Ceramics and Application : 8th Serbian Ceramic Society Conference : program and the book of abstracts; September 23-25, 2019; Belgrade
T1  - Ethyl cellulose based magnetic nanocomposite membranes
SP  - 35
UR  - https://hdl.handle.net/21.15107/rcub_vinar_10862
ER  - 

@conference{
author = "Stajčić, Aleksandar and Radović, Ivana and Dodevski, Vladimir and Stajić-Trošić, Jasna and Vorkapić, Miloš and Vasiljević-Radović, Dana",
year = "2019",
abstract = "The focus of this study is on the preparation and characterization of magnetic nanocomposite membranes for gas separation. Magnetic nanoparticles of strontium ferrite (SrFe12O19) were incorporated into ethylcellulose via solvent casting method, in order to promote oxygen diffusion against nitrogen. The influence of the nanoparticle content on the mechanical and separation properties of the nanocompositewas investigatedusing micro Vickers method and tensile test. In order to identify the structures formed by membrane processing, various analyzes were performed, such as scanning electron microscopy (FESEM), atomic force microscopy (AFM), and infrared spectroscopy with Fourier transformation (FTIR). The permeability of magnetic nanocomposite membranes was tested by monitoring the output pressure change of the nitrogen and oxygen mixtures, as well as pure nitrogen. It has been established that all of the starting components have remained intact during processing, indicating that an appropriate processing method was chosen. Nanocomposite membranes with a higher content of magnetic nanoparticles have shown a significant improvement in mechanical properties compared to pure ethylcellulose, with high permeability. These findings have shown that nanocomposite membranes based on ethylcellulose are an excellent candidate for gas separation.",
publisher = "Belgrade : Serbian Ceramic Society",
journal = "Advanced Ceramics and Application : 8th Serbian Ceramic Society Conference : program and the book of abstracts; September 23-25, 2019; Belgrade",
title = "Ethyl cellulose based magnetic nanocomposite membranes",
pages = "35",
url = "https://hdl.handle.net/21.15107/rcub_vinar_10862"
}

Stajčić, A., Radović, I., Dodevski, V., Stajić-Trošić, J., Vorkapić, M.,& Vasiljević-Radović, D.. (2019). Ethyl cellulose based magnetic nanocomposite membranes. in Advanced Ceramics and Application : 8th Serbian Ceramic Society Conference : program and the book of abstracts; September 23-25, 2019; Belgrade
Belgrade : Serbian Ceramic Society., 35.
https://hdl.handle.net/21.15107/rcub_vinar_10862

Stajčić A, Radović I, Dodevski V, Stajić-Trošić J, Vorkapić M, Vasiljević-Radović D. Ethyl cellulose based magnetic nanocomposite membranes. in Advanced Ceramics and Application : 8th Serbian Ceramic Society Conference : program and the book of abstracts; September 23-25, 2019; Belgrade. 2019;:35.
https://hdl.handle.net/21.15107/rcub_vinar_10862 .

Stajčić, Aleksandar, Radović, Ivana, Dodevski, Vladimir, Stajić-Trošić, Jasna, Vorkapić, Miloš, Vasiljević-Radović, Dana, "Ethyl cellulose based magnetic nanocomposite membranes" in Advanced Ceramics and Application : 8th Serbian Ceramic Society Conference : program and the book of abstracts; September 23-25, 2019; Belgrade (2019):35,
https://hdl.handle.net/21.15107/rcub_vinar_10862 .