Author: "Harrish, J." - Searchworks@Jio Institute Digital Library Search Results

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Author: Senthilkumar, K., Chandru, R., and Harrish, J.
Abstract: Bio-energy is the latest technology that is used to produce energy from organic materials known as biomass. It is a developing technology that produces energy without harming nature. Such a prominent source of brand-new energy is bio-battery because that has a highly promising future and is regarded as favorable to the environment. Also, so many researches are being done on bio-battery. They are a good, dependable source of energy and good for the environment. A bio-battery is an energy storage device powered by biomass. Glucose is the key element for the working of bio-batteries. Bio-batteries consist of an anode, cathode, separator, and electrolyte layered one on top of the other, much like any other battery. Bio-batteries use a sugar-digesting substance to digest glucose and produce electrons. In this proposed work, an attempt is made to utilize the waste and low-cost vegetables (which are sugar digestive) bought from the market as biomass for the production of bio-energy. The energy produced from the bio-battery for different sugar digestive substances was noted and compared with each other. Then the suitable and most efficient sugar digestive substance was tested at different conditions for higher energy production.
Published: 2023
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Author: Harrish, J. and Dutta, P.
Subjects: *HEAT transfer, *FURNACES, *STEEL, *RADIATION, *FINITE volume method
Abstract: This paper presents a computational model for heat transfer in direct fired pusher type reheat furnaces for heating steel billets prior to plastic working. Radiation, which is the dominant mode of heat transfer in the furnace chamber, is modelled in a detailed manner. The model incorporates several features of radiation heat transfer that are typical of reheat furnaces, such as non-grey participating gas in the chamber and specular/diffuse reflection off the furnace surfaces. Radiation heat transfer in the furnace chamber and conduction within the billets are modelled using the finite volume method (FVM). Convection heat flux on the billets is calculated using correlations from the literature. Overall, the model is capable of predicting the radiative heat flux distribution within the furnace, as well as the resulting temperature distribution within the billets as they pass through various zones in the furnace. Several key process parameters have been identified, and their effects on the heating process of the billets are studied. [ABSTRACT FROM AUTHOR]
Published: 2005
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