Publications by authors named "M Uthayakumar"

Rapidly increasing industrialisation has human needs, but the consequences have added to the environmental harm. The pollution caused by several industries, including the dye industries, generates a large volume of wastewater containing dyes and hazardous chemicals that drains industrial effluents. The growing demand for readily available water, as well as the problem of polluted organic waste in reservoirs and streams, is a critical challenge for proper and sustainable development.

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This paper presents the results of studies to understand the influence of hybridisation on mechanical and tribological behaviour as well as dry sliding wear of aluminium metal matrix composites. Sillimanite and boron carbide (BC) were used as primary and secondary reinforcements and pure aluminium was used as the matrix material. The composite was fabricated by using a vacuum assisted stir casting process.

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The Electron Backscatter Diffraction (EBSD) method has been characterized as a potential tool for analysing the microstructural changes that occur during the sintering processes and it possesses the ability to depict misorientation diagrams, pole figures and grain size distribution. The present work focuses on observing the microstructure evolution of the prepared 316 stainless steel with 10 wt% of BC samples sintered at the temperatures of 800, 900, and 1000 °C using the Spark Plasma Sintering (SPS) method. The samples are in the equiaxed form of recrystallized grains and they are elongated.

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In the current work, several composites made with fly ash reinforcements are used to conduct electrical discharge machining (EDM) on stainless steel that is commercially accessible. Four composites were prepared with 2.5 to 10% reinforcement of fly ash with steps of 2.

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Rolled homogeneous armor steel (RHA) with a high tensile strength, toughness, and hardness is often used in military combat vehicles. RHA is a high-strength low alloy steel suitable for all battlefield usage in military vehicles. The present work examines the prediction output responses in the material removal rate (MRR), surface roughness (Ra), and kerf angle (Ka) for the AWJM of armor steel using regression and semi-empirical models.

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