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EN
The intend of current study was focused on the prediction of material removal rate (MRR) and surface roughness (SR) for the AA7050-SiO2 composite during wire electric erosion or discharge machining (WEDM) process using a brass (Br) wire electrode. Here, stir casting process was employed to develop the AA7050 matrix composite with inclusion of 10 wt.% SiO2 particle reinforcement. The multi-objective optimization method of Technique for order preference by similarity to ideal solution (TOPSIS) approach has been applied to find out the optimal setting of input machining parameters such as peak current (Ip), pulse-on time (Ton) and pulse-off time (Toff). Furthermore, the significant effects of parameters were identified by analysis of variance (ANOVA). Taguchi L9 (33) orthogonal design has been formulated to perform the experimental work. TOPSIS results stated that the optimal setting of Ip at 30 amps, Ton of 130 μs and Toff of 55 μs provide the better MRR with lesser SR. The ANOVA results noticed that Ip has the prime noteworthy parameter over the adopted responses having a contribution of 45.67%, followed by Ton (32.34%) and Toff (12.26%), respectively. The confirmation test was carried out by the optimal parameters setting to verify the predicted results. Finally, the scanning electron microscopy (SEM) test was carried out for the machined surface of the composite specimen and it was reveals that the formation of craters and recast layer thickness in the machined surfaces.
EN
Aluminium metal matrix composites (AMMCs) playing a prominent part in the aerospace and automotive sectors owing to their superior mechanical and tribological properties. Hence, the aim of this work is to investigate the effect of titanium dioxide (10 wt.% TiO2) particles addition on hardness and tribological behaviour of Al-0.6Fe-0.5Si alloy (AA8011) composite manufactured by stir casting method. The surface morphology of developed composite clearly shows the inclusion of TiO2 particles evenly distributed within the matrix alloy. Hardness of the composite was measured using Vickers micro hardness tester and the maximum hardness was obtained at 95.6 Hv. A pin-on-disc tribometer was used to carried the wear test under dry sliding conditions. The influence of wear control parameters such as applied load (L), sliding speed (S) and sliding distance (D) were taken as the input parameters and the output responses considered as the specific wear rate (SWR) and co-efficient of friction (COF). The experimental results were analyzed using Technique for Order Preference by Similarity to Ideal Preferred Solution (TOPSIS). Based on the TOPSIS approach, the less SWR and COF achieved at the optimal parametric combination were found to be L = 30 N, S = 1 m/s and D = 2000 m. ANOVA results revealed that applied load (76.01%) has the primary significant factor on SWR and COF, followed by sliding speed (20.71%) and sliding distance (3.12%) respectively. Worn surface morphology was studied using SEM image of confirmation experiment specimen to understand the wear mechanism.
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