Sem-Eds and Tg-Dt Analysis on Coal-Bagasse Ash and Clay-Perlite Aggregates
Kancharla Bullibabu1, MD Abid Ali2, G. Diwakar3
1Kancharla Bullibabu Research Scholar, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation (Deemed to be University), Andhra Pradesh, India.
2MD Abid Ali Professor, Department of Mechanical Engineering, PSCMR College of Engineering & Technology, Andhra Pradesh, India.
3G. Diwakar Professor, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation (Deemed to be University), Andhra Pradesh, India.
Manuscript received on 30 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 131-134| Volume-8 Issue-9, July 2019 | Retrieval Number: I7532078919 /19©BEIESP | DOI: 10.35940/ijitee.I7532.078919
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: An industrial waste removal process plays main roles in all production industries, in this paper discussed about the sugar industry waste i.e. bagasse used as fuel along with coal in thermal power plant. After combustion of Coal-Bagasse, it produces bulk amount of ash and clay from the local fire brick manufacturers and expanded perlite from the thermal insulation powders suppliers. Coal-Bagasse ash, clay and perlite were performed to brick manufacturing. These three constituents with different ratios (10:5:1) on weight basis, mix properly with little addition of water for required plasticity. This mixture poured into moulds for required shape of sample (120mmx60mmx50mm) according to the laboratory requirements. Prepared samples were dried in atmosphere until the removal of wet content in samples. For final curing, dried samples heated in electrical furnace, at different temperature ranges. Scanning Electron Microscope with Energy Dispersive Spectrum (SEM-EDS) was performed to study the microstructures and chemical composition (on mass & weight basis) of samples, Thermo gravimetric-Differential Thermal Analysis (TG-DTA) to study the variation in mass of samples at different temperatures with respective time. The result shown maximum weight loss obtained at more quantity of coal, high compressive strength and low thermal conductivity at more amount of clay-bagasse ash.
Key wards: SEM-EDS, TG-DTA, and Coal-Bagasee ash.
Scope of the Article: Predictive Analysis