Optimization of wear parameters using Taguchi grey relational analysis and ANN-TLBO algorithm for silicon nitride filled AA6063 matrix composites

Assessment of weld joint strengths on dissimilar alloys of Inconel 625 and aluminium 7068 using FSW process

Microstructural and mechanical properties of copper matrix composites

Analyses of particle size and abrasive water jet drilling of synthesized chromel metal matrix

Aluminium alloy with silicon as alloying element finds more comprehensive applications and this induces the development of aluminium composite with the matrix AA6063 (AlMg0.5Si) alloy. The applications of aluminium composites are majorly in the automotive, defence and aerospace industries, where the parts subject to relative motion. Wear and friction are significant issues, and the effective method to overcome is the replacement of newer materials with self-lubrication properties. An attempt is made to develop one such self-lubricating composite material with aluminium matrix is made with the addition of solid lubricant molybdenum disulfide. The present study focus on the investigation of wear performance of the developed self-lubricating composite through the dry sliding wear analysis. The addition of solid lubricant enhanced the wear resistance even at the initial stage of the run and resulted in a steady state of wear from 200 m sliding distance. Also, the wear mechanisms which influence the wear performance were detected through the microstructural examination, and it was discussed.

Effect of MoS2 on the Wear Behavior of Aluminium (AlMg0.5Si) Composite

Silicon nitride (Si3N4) is a widely used reinforcement material to improve the mechanical properties of the aluminium matrix composites. Aluminium alloy (AA 6063) matrix composite was produced with different wt% of Si3N4 content through stir casting route. L27 orthogonal array was used to conduct the wear test in Pin-on-disc apparatus. The wear parameters were optimized by S/N ratio and ANOVA analysis. SEM images of the composites show the uniform distribution of Si3N4 particles in AA6063 matrix and its composition was confirmed by EDS analysis. As a result, the minimum wear rate was obtained for the composite contains 10 wt% Si3N4, load of 29.43 N, sliding distance of 1500 m and the sliding velocity of 3 m s−1. ANOVA result reveals that, the weight percentage of reinforcement has the higher percentage of contribution to influence the wear rate of the composite. The confirmation test was conducted and the results are well agreed with optimized parameters.

P. Ramesh Kumar

Papers

Optimization of wear parameters and their relative effects on stir cast AA6063-Si3N4 Composite

Optimization of wear parameters using Taguchi grey relational analysis and ANN-TLBO algorithm for silicon nitride filled AA6063 matrix composites

Machining of EN31 Steel Using Carbide Insert – A Statistical Approach

Investigations on characterization and properties of AA6063-Si3N4composites fabricated through stir casting route