TY  - JOUR
AU  - Stajčić, Ivana
AU  - Stajčić, Aleksandar
AU  - Serpa, Cristina
AU  - Vasiljević-Radović, Dana
AU  - Randjelović, Branislav
AU  - Radojević, Vesna
AU  - Fecht, Hans
PY  - 2022
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/5571
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.
PB  - MDPI
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 Randjelović, 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.",
publisher = "MDPI",
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., Randjelović, B., Radojević, V.,& Fecht, H.. (2022). Microstructure of Epoxy-Based Composites: Fractal Nature Analysis. in Fractal and Fractional
MDPI., 6(12), 741.
https://doi.org/10.3390/fractalfract6120741

Stajčić I, Stajčić A, Serpa C, Vasiljević-Radović D, Randjelović 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, Randjelović, 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  - CONF
AU  - Stajčić, Aleksandar
AU  - Mitić, Vojislav
AU  - Serpa, Cristina
AU  - Randjelović, Branislav
AU  - Radović, Ivana
PY  - 2021
UR  - https://www.etran.rs/2021/en/proceedings/
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/4925
AB  - Polymer matrix composites (PMCs) are very attractive materials due to a possibility to achieve versatile properties by combining with ceramic or metal reinforcement in different shapes and sizes. As a result, PMCs have found application in nearly every field, from household appliances to aerospace industry. Modern microelectronic devices contain conductive polymers with fillers that enhance their electrical properties. In addition, PMCs are being used as insulators and adhesives, contributing to the long life of electronic devices. Epoxy resins are the most commonly used insulators and adhesives. In order to improve their fracture toughness, glass fibers can be used as an efficient reinforcement. However, with the purpose of designing a composite with good mechanical properties and durability, deep knowledge of microstructure is required. In addition, microstructural analysis can be used to connect shape and size of pores or reinforcement with various physical properties. Fractal nature analysis is a valuable mathematical tool that can be employed for different shapes and forms rendering. In this manner, successful design and prediction of composite’s properties could be obtained. In this research, field emission scanning electron microscopy (FESEM) images were used for fractal analysis of glass fibers, with the aim of reconstructing the shape.
PB  - Belgrade: ETRAN – Society for electronics, telecommunication, computing, automatics and nuclear angineering
C3  - Proceedings - 8th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2021 and 65th National Conference on Electrоnics, Telecommunication, Computing, Automatic Control and Nuclear Engineering ETRAN 2020
T1  - Reconstruction of fiber reinforcement in epoxy-based composite
UR  - https://hdl.handle.net/21.15107/rcub_cer_4925
ER  - 

@conference{
author = "Stajčić, Aleksandar and Mitić, Vojislav and Serpa, Cristina and Randjelović, Branislav and Radović, Ivana",
year = "2021",
abstract = "Polymer matrix composites (PMCs) are very attractive materials due to a possibility to achieve versatile properties by combining with ceramic or metal reinforcement in different shapes and sizes. As a result, PMCs have found application in nearly every field, from household appliances to aerospace industry. Modern microelectronic devices contain conductive polymers with fillers that enhance their electrical properties. In addition, PMCs are being used as insulators and adhesives, contributing to the long life of electronic devices. Epoxy resins are the most commonly used insulators and adhesives. In order to improve their fracture toughness, glass fibers can be used as an efficient reinforcement. However, with the purpose of designing a composite with good mechanical properties and durability, deep knowledge of microstructure is required. In addition, microstructural analysis can be used to connect shape and size of pores or reinforcement with various physical properties. Fractal nature analysis is a valuable mathematical tool that can be employed for different shapes and forms rendering. In this manner, successful design and prediction of composite’s properties could be obtained. In this research, field emission scanning electron microscopy (FESEM) images were used for fractal analysis of glass fibers, with the aim of reconstructing the shape.",
publisher = "Belgrade: ETRAN – Society for electronics, telecommunication, computing, automatics and nuclear angineering",
journal = "Proceedings - 8th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2021 and 65th National Conference on Electrоnics, Telecommunication, Computing, Automatic Control and Nuclear Engineering ETRAN 2020",
title = "Reconstruction of fiber reinforcement in epoxy-based composite",
url = "https://hdl.handle.net/21.15107/rcub_cer_4925"
}

Stajčić, A., Mitić, V., Serpa, C., Randjelović, B.,& Radović, I.. (2021). Reconstruction of fiber reinforcement in epoxy-based composite. in Proceedings - 8th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2021 and 65th National Conference on Electrоnics, Telecommunication, Computing, Automatic Control and Nuclear Engineering ETRAN 2020
Belgrade: ETRAN – Society for electronics, telecommunication, computing, automatics and nuclear angineering..
https://hdl.handle.net/21.15107/rcub_cer_4925

Stajčić A, Mitić V, Serpa C, Randjelović B, Radović I. Reconstruction of fiber reinforcement in epoxy-based composite. in Proceedings - 8th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2021 and 65th National Conference on Electrоnics, Telecommunication, Computing, Automatic Control and Nuclear Engineering ETRAN 2020. 2021;.
https://hdl.handle.net/21.15107/rcub_cer_4925 .

Stajčić, Aleksandar, Mitić, Vojislav, Serpa, Cristina, Randjelović, Branislav, Radović, Ivana, "Reconstruction of fiber reinforcement in epoxy-based composite" in Proceedings - 8th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2021 and 65th National Conference on Electrоnics, Telecommunication, Computing, Automatic Control and Nuclear Engineering ETRAN 2020 (2021),
https://hdl.handle.net/21.15107/rcub_cer_4925 .

TY  - JOUR
AU  - Mitić, Vojislav V.
AU  - Ribar, Srđan
AU  - Randjelović, Branislav M.
AU  - Lu, Chunan
AU  - Radović, Ivana
AU  - Stajčić, Aleksandar
AU  - Novaković, Igor
AU  - Vlahović, Branislav
PY  - 2020
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/4242
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.
PB  - World Scientific
T2  - Modern Physics Letters B
T1  - Neural networks and microelectronics parameters distribution measurements depending on sintering temperature and applied voltage
VL  - 34
IS  - 35
SP  - 2150172
DO  - 10.1142/S0217984921501724
ER  - 

@article{
author = "Mitić, Vojislav V. and Ribar, Srđan and Randjelović, Branislav M. and Lu, Chunan and Radović, Ivana 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.",
publisher = "World Scientific",
journal = "Modern Physics Letters B",
title = "Neural networks and microelectronics parameters distribution measurements depending on sintering temperature and applied voltage",
volume = "34",
number = "35",
pages = "2150172",
doi = "10.1142/S0217984921501724"
}

Mitić, V. V., Ribar, S., Randjelović, B. M., Lu, C., Radović, I., 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
World Scientific., 34(35), 2150172.
https://doi.org/10.1142/S0217984921501724

Mitić VV, Ribar S, Randjelović BM, Lu C, Radović I, 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):2150172.
doi:10.1142/S0217984921501724 .

Mitić, Vojislav V., Ribar, Srđan, Randjelović, Branislav M., Lu, Chunan, Radović, Ivana, 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):2150172,
https://doi.org/10.1142/S0217984921501724 . .