Insitu synthesis of Al- MgAl2O4 composites and parametric optimization of tribological characteristics

Satish Kumar Thandalam; Titus Thankachan; Emad Makki; Jayant Giri; Sathish Thanikodi

doi:10.1016/j.heliyon.2024.e25427

Insitu synthesis of Al- MgAl₂O₄ composites and parametric optimization of tribological characteristics

Heliyon. 2024 Jan 28;10(3):e25427. doi: 10.1016/j.heliyon.2024.e25427. eCollection 2024 Feb 15.

Authors

Satish Kumar Thandalam¹, Titus Thankachan², Emad Makki³, Jayant Giri⁴, Sathish Thanikodi⁵

Affiliations

¹ Department of Mechanical Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India.
² Department of Mechanical Engineering, Karpagam College of Engineering, Coimbatore, India.
³ Department of Mechanical Engineering, College of Engineering and Architecture, Umm Al-Qura University, Makkah, 24382, Saudi Arabia.
⁴ Department of Mechanical Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, India.
⁵ . Saveetha School of Engineering, SIMATS, Chennai, 602 105, Tamil Nadu, India.

Abstract

In this research, multiobjective optimization of tribological characteristics of Al-4Mg/in-situ MgAl₂O₄ composites fabricated via ultrasonic cavitation treatment assisted stir casting technique was carried out. Al-4Mg alloy dispersed with 0.5, 1 and 2 wt% in-situ MgAl₂O₄ was prepared and the microstructural and mechanical characterisation of the same has been carried out. Reinforcement addition, load and sliding velocity at 3 different levels was considered to attain the responses wear rate and friction coefficient. To identify optimised process condition for the developed composites to attain reduced friction coefficient and wear rate condition, grey analysis is tried out. Experimental results analysed via Grey relation and analysis of variance (ANOVA) proved wt.% of MgAl₂O₄ particles as significant parameter trailed by load and speed. Based on grey relational grade, minimal wear loss at lowest frictional coefficient can be attained for the composite dispersed with 2 wt% of in-situ MgAl₂O₄ at 20 N load and 2 m/s sliding velocity. Mechanisms behind the wear loss was analysed from worn out surface micrographs.

Keywords: Aluminum; Analysis of variance; In-situ MgAl2O4; Metal matrix composite; Multi-objective optimization; Wear.