Title: Wear behaviour of Al 8011-nano ZrO₂ composites: a parametric optimisation using Taguchi-grey relational approach

Authors: J.C. Thippeswamy; N. Sathisha

Addresses: Department of Mechanical Engineering, Shridevi Institute of Engineering and Technology, 572106 Tumakuru, Karnataka, India ' Department of Mechanical Engineering, Yenepoya Institute of Technology, 574225 Moodabidri, Karnataka, India

Abstract: Aluminium metal matrix (AlMM) composites with nano particle reinforcement are majorly applied in aerospace, defence, marine, and space applications because of outstanding mechanical qualities. The preparation of Aluminium 8011(Al 8011)-nano ZrO₂ metal matrix composite with a weight percentage (wt. %) varied between 2%, 4% and 6% by stir casting. This study primarily focused on using Taguchi-grey relational approach to analyse wear attributes. The presence of nano ZrO₂ particles in the Al matrix was discovered using X-ray diffraction (XRD) pattern. The experiments are conducted with respect to the Taguchi L₂₇ orthogonal array using pin-on-disc wear testing equipment. The combined effect of three process factors on the rate of wear and frictional force in a dry environment was investigated using load (N), speed (rpm), and weight percent of nano ZrO₂. Grey relation analysis (GRA) is used to find the significant affecting parameters. Using scanning electron microscope, wear behaviour is examined.

Keywords: Al 8011; nano ZrO₂; grey relation analysis; GRA; analysis of variance; ANOVA; Taguchi method; scanning electron microscopy; SEM.

DOI: 10.1504/IJMATEI.2022.126509

International Journal of Materials Engineering Innovation, 2022 Vol.13 No.4, pp.306 - 326

Received: 04 Nov 2021
Accepted: 14 Jan 2022
Published online: 27 Oct 2022 *

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