Mechanical and Thermal Characterisation of Millscale Modified Al-Cu Alloy for Artificial Intelligence Systems

Authors

  • Olatunde Israel Sekunowo Department of Metallurgical and Materials Engineering, University of Lagos, Nigeria
  • Catherine U. Kuforiji Department of Metallurgical and Materials Engineering, University of Lagos, Nigeria
  • Emmanuel Oluwaseun Ajibodu Department of Mechanical Engineering, University of Ottawa, Canada

DOI:

https://doi.org/10.3126/jie.v16i1.36651

Keywords:

Artificial intelligence, aluminium-copper alloy, iron-millscale, mechanical properties, thermal stability

Abstract

Continuous research into critical functional property enhancement of materials employed in artificial intelligence systems is imperative to overcome performance limitations. This study investigated the thermal and mechanical properties of stir-cast fabricated Al-Cu alloy modified with addition of iron-millscale (IMS) particles varied from 2-6 wt.%. The alloys microstructure was analysed using both optical and scanning electron microscope coupled with energy dispersive spectroscopy (SEM/EDS). PerkinElmer Thermogravimetry/Derivative thermal analyser was used to assess the alloys thermal characteristics while the mechanical properties were evaluated using relevant state of the art equipment. Results show that the best thermal and mechanical properties comparable to established standards were achieved at 6 wt.% IMS particle addition. Contributions to the alloy enhanced performances stemmed from the structure refining propensity of IMS particles. Based on the thermal and mechanical properties demonstrated, the alloy is recommended for application in pneumatic offshore valve actuator used in oil and gas flow process lines.

Downloads

Download data is not yet available.
Abstract
96
pdf
89

Downloads

Published

2021-04-12

How to Cite

Sekunowo, O. I., Kuforiji, C. U., & Ajibodu, E. O. (2021). Mechanical and Thermal Characterisation of Millscale Modified Al-Cu Alloy for Artificial Intelligence Systems. Journal of the Institute of Engineering, 16(1), 133–140. https://doi.org/10.3126/jie.v16i1.36651

Issue

Section

Articles