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contributor.authorNaresh Prasad-
contributor.authorAcharya, S K-
identifier.citationDevelopment and Characterization of Metal Matrix Composite Using Red Mud an Industrial Waste for Wear Resistant Applications, Doctoral Thesis, Jan 2006, P 204en
descriptionCopyright for this thesis belongs to National Institute of Technology, Rourkela, Indiaen
description.abstractRed mud emerges as the major waste material during production of alumina from bauxite by the Bayer’s process. It comprises of oxides of iron, titanium, aluminum and silica along with some other minor constituents. Based on economics as well as environmental related issues, enormous efforts have been directed worldwide towards red mud management issues i.e. of utilization, storage and disposal. Different avenues of red mud utilization are more or less known but none of them have so far proved to be economically viable or commercially feasible. It is generally agreed that resistance to wear of MMCs is created by reinforcement and also the wear properties are improved remarkably by introducing hard intermetallic compound into the aluminium matrix. The reinforcing materials are generally SiC, Al2O3, TiB2 etc and are costly. The present research work has been undertaken with an objective to explore the use of red mud as a reinforcing material as a low cost option. This is due to the fact that red mud alone contains all these reinforcement elements and is plentifully available. Experiments have been conducted under laboratory condition to assess the wear characteristics of the aluminium red mud composite under different working conditions in pure sliding mode on a pin-on-disc machine. This has been possible by fabricating the samples through usual stir casting technique. To enhance the wear properties, the samples were also subjected to heat treatment. The worn surfaces of the wear out samples were studied under optical microscope to get an idea about the effect of particulate reinforcement on the wear behavior of the composite. Dispersion of red mud particles in aluminium matrix improves the hardness of the matrix material and also the wear behavior of the composite. Wear resistance of the composite can be improved by heat treatment and proper choice of cooling media. A prediction model using artificial neural networks (ANN) is also employed to simulate the property parameters correlation and a fairly good agreement in the experimental and predicted value is obtained. There are other fabrication techniques available where the volume fraction of reinforcements could be increased and are likely to vary the wear performances of the composite. This work can be further extended to those techniques. However these results can act as a starting point for both industrial designers and researchers to design and develop MMC components using this industrial waste for applications in wear environment. The whole dissertation has been divided into six chapters to put the analysis independent of each other as far as possible. The major work on wear characteristics and validation of results through Artificial Neural Network (ANN) techniques are given in chapter 3, 4, and 5 respectively.en
format.extent2835350 bytes-
publisherNational Institute of Technology, Rourkela, Indiaen
titleDevelopment and Characterization of Metal Matrix Composite Using Red Mud an Industrial Waste for Wear Resistant Applicationsen
Appears in Collections:Thesis (Doctor of Philosophy)

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