Articles
  • Multi objective optimization of wear characteristics on Al 7075/Al2O3/B4C composites - Desirability approach
  • Pridhar. Ta,*, Ravikumar. Kb, Sureshbabu. Ba, Srinivasan. Ra and Sathishkumar. Ba

  • aDepartment of Mechanical Engineering, Sri Krishna College of Technology, Coimbatore, India
    bDepartment of Mechanical Engineering, Dr.NGP Institute of Technology, Coimbatore, India

Abstract

Aluminium hybrid metal matrix composites comprises of Al alloy embedded with multiple hard particulates to improve the wear characteristics. In this study Al 7075/Al2O3/B4C hybrid composite was fabricated with 5 wt.% B4C particles addition and 2, 4, 6, 8 and 10 wt.% of Al2O3 by liquid metallurgy route. The dry sliding wear behaviour of hybrid composites was investigated under various sliding parameters using a pin on disc tribometer. Numerical models were developed to predict the frictional and wear characteristics of the composites. Analysis of variance method and confirmation experiments were employed to validate the adequacy of the developed model. The composites with high particle content exhibits better wear resistance at various sliding conditions. Detailed metallurgical investigations were carried out on the on worn surface. The wear rate was severe at higher loads due to the crater formation and in addition to abrasive wear. The wear rate and coefficient of friction were optimized using desirability based multi criteria optimization technique.


Keywords: Alumina, Boron carbide, SEM, XRD, EDS, Dry sliding wear, RSM, Optimization

This Article

  • 2020; 21(2): 131-142

    Published on Apr 30, 2020

  • 10.36410/jcpr.2020.21.2.131
  • Received on Jul 12, 2019
  • Revised on Jan 20, 2020
  • Accepted on Jan 21, 2020

Correspondence to

  • Pridhar. T
  • Department of Mechanical Engineering, Sri Krishna College of Technology, Coimbatore, India
    Tel : +919790003531

  • E-mail: preeth_t@rediffmail.com