Investigation on the Effect of Al2O3 and B4C Ceramic Particles on Mechanical Properties of AA7075 Metal Matrix Composites

This study aims to investigate the tribological behaviour of lamb bone ash (LBA) and boron carbide (B4C) reinforced ZA-27 hybrid metal matrix composites fabricated using a stir casting process. The weight percentage of LBA and B4C particles in the composites were varied from 0–5 wt%. The composites have been evaluated for density, porosity and microhardness before tribological testing. Dry sliding friction and wear behaviour of composites were studied on a pin-on-disc tribometer by varying load from 10–50 N at a fixed sliding speed of 1 m s−1. Also, to investigate the effect of sliding speed on friction and wear behaviour of composites, tests were carried out at 2 m s−1 and 3 m s−1 of sliding speed. A scanning electron microscope (SEM) was used for examining the microstructure and worn surface morphology of composite samples. SEM micrographs revealed the presence and homogeneous distribution of reinforcement particles, and energy-dispersive x-ray spectroscopy (EDS) analysis confirmed the presence of LBA and B4C particles in the composites. Composites density decreased, and porosity increased with the addition of reinforcement particles. The microhardness of the 5 wt% reinforced LBA composite improved by 18.38%, whereas hybrid composite containing (2.5 wt% LBA + 2.5 wt% B4C) showed an improvement of 42% compared to the base alloy. The coefficient of friction (COF) and wear loss increased with the increase in load, whereas COF decreased and wear loss increased with the increase in sliding speed. Composites showed superior wear resistance even at higher loads and sliding speeds. SEM micrographs of worn surface revealed adhesion and abrasion type of wear mechanisms. Therefore, with the improvement in wear resistance this developed composite can be used as a bearing material over monolithic ZA-27 alloy in the automotive sector.

Section: Density and Porositymentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Tribological behaviour of lamb bone ash and boron carbide reinforced ZA-27 hybrid metal matrix composites under dry sliding conditions

Singh¹,

Mishra²,

Singh³

2021

“…Khare et al had prepared hybrid metal matrix composites made up of AA7075 base metal and reinforcement particles such as Al 2 O 3 and B 4 C ceramic particles. The addition of the reinforcement particles resulted in improvement in the mechanical properties of the AA7075 composites [17].…”

Section: Introductionmentioning

confidence: 99%

Investigation on the wear rate and COF of AA356 metal matrix composites reinforced with zirconium silicate (ZrSiO₄) particles

Prabhu,

Moshi,

Hariharasakthisudhan

et al. 2023

These days, metal matrix composites (MMCs) are frequently investigated by incorporating the proper reinforcement particles. In order to enhance various properties of the manufactured MMCs, reinforcement particles are embedded into the base metal. In the present investigation, A356 MMCs reinforced with 5 wt.% of zirconium silicate (ZrSiO4) particles have been prepared and tested for the friction and wear behaviour. Utilizing the stir-casting technique, the composites were produced; and the test specimens have been prepared with ASTM G99 standards. Three significant process variables have been considered for performing the wear test such as normal load, sliding velocity and sliding distance. The Taguchi's L9 orthogonal array design has been used to plan the experimental design for the wear test. Main Effect Plots (MEPs) have been drawn for the coefficient of friction (COF) and wear rate values obtained during the test for different combinations of selected input variables, and analyzed. To determine the optimal input variable combinations that lead to lower COF and wear rate, Grey-Fuzzy Reasoning Grade Analysis (GFRGA) has been used. For the taken into account input conditions and the recorded output responses, an artificial neural network (ANN) model has been created. The surfaces of the worn out samples have been tested with the aid of the micrographs taken by a Scanning Electron Microscope (SEM).

“…Khare et al [32] studied the wear characteristics of Al7075-Al 2 O 3 -B 4 C at different load and sliding conditions.They reported that the increase in reinforcement concentration results in high wear resistance at considered parametric condition. Khare et al [33] analyzed the mechanical behaviour of Al composites with different weight % of reinforcement materials and reported that the hardness and flexural strength of composites were improved when increasing the percentage of reinforcement concentration. They observed the uniform distribution of reinforcements for considered weight % of reinforcements.Davis et al [34] fabricated the HMMC composite ( Al6063%-5% SiC / 2.5% Gr / 2.5% Al 2 O 3 ) using stir casting method and analyzed the machining characteristics of composite using powder mixed electrical discharge drilling technique at various machining condition.…”

Section: Introductionmentioning

confidence: 99%

Experimental study on surface characteristics in μED milling of Al6063%-5%B4C-5%ZrSiO₄ composite using TOPSIS method

Narasimmalu¹,

Ramabalan²

2022

Al6063 composites are widely used in automobile, aerospace and biomedical industries due to their excellent mechanical properties. Machining of micro channels in composites is difficult for conventional machining process due to presence of hard reinforcement. Materials with base metal. Micro Electrical discharge (µED) milling is popular micromachining technique for machining simple, intricate shapes and microchannels on any conductive material. However, it a slow machining process, the identification of optimum condition has become wide research area in µEDM. The present work aims to study the influence of process variables namely voltage, spindle speed and threshold on machining characteristics of µED milling of Hybrid Metal Matrix Composites (HMMCs). Experimental trials are carried out with copper electrode at different parametric condition. Al6063-5%B4C-5%ZrSiO4 composite was fabricated using stir casting method and experimental runs were designed using general full factorial method. The significant parameters are identified using Analysis of Variance (ANOVA) and the ideal machining conditions for multi-response are determined using Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. The morphology of machined surface with best and worst conditions is examined using SEM. Results indicated that the voltage and threshold are the influencing parameters for considered response indicators. Recast layer thickness seems to be low with best machining conditions as compared to worst conditions. Increase in voltage and threshold increases the Material Removal Rate (MRR) and decreases the Electrode Wear Rate (EWR). Surface finish is better when the lower order of capacitance and voltage is used. MRR is increased by 48% with best machining conditions compared to worst machining condition.