Experimental study of nano-composite materials on vibration responses
1
College of Agriculture, Al-Qasim Green University, Babel, Iraq
2
University of Babylon, College of Engineering, Department of Mechanical Engineering, Hillah, Iraq
3
Department of Petroleum Technology, Koya Technical Institute, Erbil Polytechnic University, 44001 Erbil
Submission date: 2023-06-02
Final revision date: 2023-08-24
Acceptance date: 2023-08-31
Online publication date: 2023-09-22
Publication date: 2023-09-22
Corresponding author
Barhm Mohamad
Department of Petroleum Technology, Koya Technical Institute, Erbil Polytechnic University, 44001 Erbil
Department of Petroleum Technology, Koya Technical Institute, Erbil Polytechnic University, 44001 Erbil
Diagnostyka 2023;24(3):2023312
KEYWORDS
TOPICS
ABSTRACT
This paper present of experimental and numerical study of nano Al2O3 cantilever beam for forced vibration, addressing an unexplored area in the existing literature. The proposed nano composite cantilever beam is modeled with hole and crack. The study is based on history loading calculation and composite morphology a global parameter, the transverse crack in nano composite cantilever beam was studied and analyzed experimentally using a four-channel dynamic signal acquisition (NI 9234) module for making high-accuracy measurements and its ideal for vibration applications. The relationship between the dispersion and interaction of the alumina nanoparticles within the cantilever beam and morphology of the solid, hole and crack composite has been identified. Furthermore, the influence of particles Al2O3 at different concentrations (0%, 1%, 3% and 4%) have been studied respectively. Supporting results proved that the crack and hole depth increases with increases of history loading. Nanoparticles dispersed within the specimen can increase energy dissipation during vibration, leading to improved damping characteristics. For future work, it is recommended to utilize statistical frequency domain input, such as Power Spectral Density (PSD), for assessing the structural response instead of employing time history loading.
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