04.2020.287.298

Fatigue Behavior of Steel Beam Coated with Nanoparticles under High Temperature

Author(s):
Mohsin Abdullah Al-Shammari†, Qasim H. Bader‡, Muhannad Al-Waily‡†*, A. M. Hasson‡‡

Affiliation(s):
†Department of Mechanical Engineering, College of Engineering, University of Baghdad, Baghdad, Iraq

‡Department of Mechanical Engineering, College of Engineering, University of Babylon, Babylon, Iraq

‡†Department of Mechanical Engineering, Faculty of Engineering, University of Kufa, Najaf, Iraq

‡‡Senior Research Scientist, Sustainable Environment, Fusion Innovations, Birmingham, UK

*Corresponding Author Email: muhanedl.alwaeli@uokufa.edu.iq

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

This work includes analysis and experimental studies of the temperature effect on high-cycle fatigue behavior of the steel beam coated with nanoparticles. The beams are made from AISI-1020 (low carbon steel). The nano-materials used are zinc oxides (ZnO) and aluminum (Al2O3). The coated technique is used to achieve nano coating, and the thickness of the coating material for both coating forms was 5 μm thick. Experimental activities include a mechanical tensile test to ensure that the type of steel used in the test beam is used. The coating process was also increasingly performed to reach the required thickness for the painted bands. The fatigue test was carried out at different temperatures, from 25 ºC to 300 ºC by a cantilever rotating-bending system. Numerical works were done by finite element method via the aid of “ANSYS” which is a 16TH version workbench software program .The stresses verses revolutions curves were obtained by using curve fitting as described in Basquin’s equation. Results show that the Nanomaterial coating decreases the low temperature effect of fatigue of uncoated steel beams. The findings of an experimental-numerical comparison indicate a reasonable difference between experimental and numerical programs.