Electrochemical investigation of calcined agrowastes powders on friction stir processing of aluminium-based matrix composites

Ikumapayi, Omolayo M.; Akinlabi, Esther Titilayo; Abegunde, Olayinka Oluwatosin; Fayomi, O. S. I.

doi:10.1016/j.matpr.2020.02.906

Cited by 12 publications

(2 citation statements)

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“…The uniqueness of a muffle furnace is that it isolates the material to be heated from all side-effects of ignition from the heat source [15]. With present day electrical heaters, this implies heat is connected to a chamber through enlistment or convection by a high-temperature heating curl inside a protected material.…”

Section: Muffle Furnacementioning

confidence: 99%

Improvement of ASTM A53 Steel Durability Using Agrowastes as Carburizing Agent

Afolalu

Ikumapayi

Emetere

et al. 2021

IJIE

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The importance of steel in manufacturing and construction over the past century cannot be over-emphasized and easy accessibility couple with excellent mechanical properties make it preferable over others. However, the problem of durability has posed a serious concern as majority of steel application are meant for long term use. Several attempts have been made to improve the durability of steel in the past and increase of carbon content in low carbon steel was found to be a suitable agent. Although getting carbon is not the challenge rather obtaining it from a sustainable source that has zero environment impact. This research identified two separate agrowaste that has high carbon content the issue of sustainability brought about the development of carburizing agent from agrowaste that are easily accessible namely palm kernel and eggshell which is employed in this research. The use of agrowaste was found to be effective as there was notable increase in grain structure of the carburized steel when compared to the control sample without carburized agent in it.

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Section: Muffle Furnacementioning

confidence: 99%

Improvement of ASTM A53 Steel Durability Using Agrowastes as Carburizing Agent

Afolalu

Ikumapayi

Emetere

et al. 2021

IJIE

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“…Among the applicable base metals for MMC fabrication, aluminium has received numerous attention because of its lightweight, corrosion resistance, and adequate strength-to-weight ratio [1]. Research into the fabrication of aluminium matrix composites (AMCs) has yielded noteworthy improvements in the properties under investigation such as research done by Ikumapayi et al [2] to study the effects of coconut shell ash, cow bone ash and palm kernel ash on corrosion resistance of AA 7075. The results indicate that reinforcing the aluminium alloy with palm kernel shell ash produced the AMC with the least corrosion resistance.…”

Section: Introductionmentioning

confidence: 99%

Characterization, machinability studies, and multi-response optimization of AA 6082 hybrid metal matrix composite

Ononiwu

Ozoegwu

Madushele

et al. 2021

Int J Adv Manuf Technol

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This work investigated the effect of carbonized eggshell and fly ash on the microstructure, mechanical properties and machinability of AA 6082. The fabrication method selected for this study was stir casting. For the hybrid metal matrix composite, the weight fraction was 2.5wt% carbonized eggshell and 2.5wt% fly ash. The microstructural examination of the cast composite showed an even dispersal of the reinforcing phases in the aluminium matrix. Density analysis saw a 10.66% reduction of the cast composite in comparison to the aluminium alloy. Improvements of 12.32%, 21.91%, and 8.30% were recorded for the microhardness, tensile strength and compressive strength respectively. The wear studies of the cast samples revealed coefficients of friction (CoF) of 0.499 and 0.290 for the base metal and the AMC respectively. For the machinability studies, the surface roughness and flank tool wear were the responses under consideration. The design of experiments was conducted using the Taguchi method. The input parameters for this investigation was the cutting speeds (100 mm/min, 200 mm/min, 300 mm/min), feeds (0.1 mm/rev, 0.2 mm/rev, 0.3 mm/rev) and depths of cut (0.5 mm, 1.0 mm, 1.5 mm). For the multi-response optimization, Taguchi based grey relational analysis was used. The analysis of variance (ANOVA) of the grey relational grade (GRG) revealed that the feed was the most influential factor on the surface roughness and tool wear. The initial optimization showed the optimal cutting speed, feed and depth of cut as 200 mm/min, 0.2 mm/rev and 1.5 mm respectively. The confirmatory experiments revealed that the optimal combination of factors was 200mm/min, 0.2 mm/rev and 0.5 mm for the cutting speed, feed and depth of cut respectively.

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