University Links: Home Page | Site Map
Covenant University Repository

EXPERIMENTAL EVALUATION OF SILICA SAND AND KAOLIN REINFORCED SECONDARY ALUMINIUM MATRIX COMPOSITE: IMPLICATIONS FOR HEAT STORAGE APPLICATIONS

OGUNRINOLA, IYANUOLUWA ENOCH and Covenant University, Theses (2022) EXPERIMENTAL EVALUATION OF SILICA SAND AND KAOLIN REINFORCED SECONDARY ALUMINIUM MATRIX COMPOSITE: IMPLICATIONS FOR HEAT STORAGE APPLICATIONS. ["eprint_fieldopt_thesis_type_phd" not defined] thesis, COVENANT UNIVERSITY.

[img] PDF
Download (368kB)

Abstract

Cost-reduction, increase in heat energy transfer and storage efficiency are key factors to be considered when harnessing heat energy, especially at the high-temperature range. Secondary aluminium, which has superior thermal properties, resistance to corrosion, and light weight compared to other thermal storage materials, was used as the matrix in this work. To influence the range of thermal applications of secondary aluminium, its specific heat and thermal conductivity were increased with reinforcements. There is scarcity of knowledge on the effect of varying the amount of silica sand and kaolin on the thermal properties of secondary aluminium. In this study, silica sand and kaolin were used to reinforce the aluminium matrix. The thermal insulation required for the fabrication chamber used to prepare the matrix and fabricate the composites was simulated to determine the optimal parameters. The secondary aluminium matrix was pre-processed using the constructed fabrication chamber. Ten (10) samples, including nine (9) composites and one (1) secondary aluminium as control, were prepared with the composition of secondary aluminium alloy ranging from 85 - 100wt% and composition of silica sand and kaolin ranging from 0 - 15wt%. Scanning Electron Microscopy (SEM) and X-Ray Diffraction (XRD) analyses were used to characterise the microstructure and phase composition of the composites. The specific heat, thermal conductivity, density, hardness and thermal diffusivity of the samples were determined. Artificial Neural Network (ANN) was used to simulate the thermal properties of more compositions using the properties of the already fabricated samples/composites. The data obtained were used to compare the properties of the composites obtained based on mixture theory. Optimal thermal insulation length of 20 cm on each side was obtained from the simulation for the fabrication chamber, considering an internal temperature of 800 oC. The external length and breadth were 56 cm each, while the height was 60 cm. An average temperature difference of about 700 oC was calculated between the inner and outer part of the simulated insulation layer; this temperature difference is very close to the simulated value of 730 oC. Minima and maxima values of the thermal properties were observed in the composites. A maximum increase of 44% in the specific heat of the secondary aluminium was observed with the addition of 15% kaolin to the alloy. The maximum increase of 40.18% in the thermal conductivity of the alloy was observed with the addition of 10 and 2.5% silica sand and kaolin, respectively, to the secondary aluminium alloy. This study demonstrated that silica sand increased the thermal conductivity of the matrix because the relatively smooth surface of the particulates eliminated interfacial pores that serve as volumes of thermal resistance. Kaolin increased specific heat because the interfacial pores caused by the relatively rough surface of the kaolin particulates contained air with specific heat higher than those of the particulates and matrix. This study also revealed the potential of secondary aluminium reinforced with silica sand and kaolin as a viable heat storage material.

Item Type: Thesis (["eprint_fieldopt_thesis_type_phd" not defined])
Uncontrolled Keywords: Silica sand, Kaolin, Hybrid composite, Secondary aluminium matrix, Thermal storage, Thermo-physical properties
Subjects: Q Science > Q Science (General)
Q Science > QC Physics
Divisions: Faculty of Engineering, Science and Mathematics > School of Physics
Depositing User: AKINWUMI
Date Deposited: 28 Oct 2022 10:17
Last Modified: 28 Oct 2022 10:17
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/16388

Actions (login required)

View Item View Item