A comparative study of PMMA/PEG polymer nanocomposites doped with different oxides nanoparticles for potential optoelectronic applications.

PMMA/PEG and PMMA/PEG doped with SiO, TiO and AlO were fabricated using the solution-casting technique. The composites were characterized by X-ray diffraction and scanning electron microscopy (FE-SEM), which revealed that the amorphous nature of PMMA/PEG blend doped with AlO was hindered by the crystalline nature of those doped with SiO and TiO. The absorption of PMMA/PEG blend doped with AlO is higher, band gap energies were decreased from 4.

IoT-based data-driven predictive maintenance relying on fuzzy system and artificial neural networks.

Industry 4.0 technologies need to plan reactive and Preventive Maintenance (PM) strategies for their production lines. This applied research study aims to employ the Predictive Maintenance (PdM) technology with advanced automation technologies to counter all expected maintenance problems.