Characterization and fractal modeling of boron carbide nanoparticles synthesized by nanomilling
| Autor: | Mehrdad Khakbiz, Pedram Sotoudeh Bagha, Farshad Akhlaghi, Lida Ghazanfari |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
010302 applied physics
Equiaxed crystals Materials science Nanoparticle 02 engineering and technology Boron carbide 021001 nanoscience & nanotechnology Condensed Matter Physics 01 natural sciences Fractal analysis Electronic Optical and Magnetic Materials Crystal chemistry.chemical_compound Fractal Chemical engineering chemistry Transmission electron microscopy 0103 physical sciences Particle size Electrical and Electronic Engineering 0210 nano-technology |
| Zdroj: | Physica B: Condensed Matter. 557:132-140 |
| ISSN: | 0921-4526 |
| DOI: | 10.1016/j.physb.2018.12.033 |
| Popis: | In this paper, the narrow size and spherical shape of boron carbide nanoparticles are synthesized by milling, purification and then the classification of nanoparticles by sedimentation method. In addition, the fractal behavior of particles is studied during synthesizing systematically and a fractal equation is proposed for prediction of nanopowders size distribution plots. Milling of particles is conducted in a stirred attrition mill for different times, and hydrochloric acid is used for solvent purification and then sedimentation process is conducted. The size of particles is measured by laser particle size (LPS) analyzer. For studying particles morphology, scanning and transmission electron microscopy (SEM, TEM) are used. The crystal size of nanoparticles is calculated by X-ray diffraction (XRD). LPS results reveal that after 110 h milling time, nanoparticles with an average diameter of 90 nm are produced. SEM images show that the final nanoparticles have equiaxed shape with iron impurity less than 1.7 wt. % after acid washing. XRD results demonstrate that the crystalline size of boron carbide (B4C) particles after 110 h of milling reduces from 220 to 57 nm. The fractal analysis shows that particles size distribution curves of finer particles can be predicted by proposed fractal modeling better in contrast to larger particles. |
| Databáze: | OpenAIRE |
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