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Articles by S. Vivekanandan
Total Records ( 2 ) for S. Vivekanandan
  M. Mathanmohan and S. Vivekanandan
  In this study, a fluidized bed gasifier with a capacity of 20 kg h–1 was designed and developed to use agro-industries residues such as Rice Husk (RH) and Sugarcane Bagasse (SB) as a feed stock are used in this investigation. The objective of this work was to generate better gas efficiency based on equivalence ratio, particle size by optimum parameters such as a reactor temperature (t), equivalence ratio (e), pressure (p), feed size (fs) and fuel consumption rate (fc) with the help of design matrix to find the optimum condition and by performing the experimental work for generating Producer Gas (PG) use to drive the CI engine on dual fuel mode with minor modification in engine inlet manifold. This report also reveals the performance of CI engine coupled with gasifier to operate in dual-fuel mode. The full potentiality of biomass for gasification was successfully investigated furthermore, the producer gas from two feed materials used as dual fuel mode with diesel to run single cylinder four stroke water cooled engine with a rated power and speed of 3.75 kW and 1500 rpm, respectively. By considered variables performance such as break thermal efficiency and specific fuel consumption. This study also includes the feasibility of producer gas used as secondary fuel with diesel for different feed materials, considered in this work for the optimum process parameters.
  A. Alavudeen Basha and S. Vivekanandan
  In post-operative period, the variation of the blood glucose level is one of the important complications to be controlled which avoid abnormal conditions like hypo/hyper glycaemia that leads to emergency situation. To overcome this condition the closed loop control strategy is used to infuse the insulin to the human body as a continuous infusion system that stabilizes its level. In this study two different model based controllers (Model predictive control and Internal model control) were designed and their performances were observed. The output of the controller were compared and tested with Bergman minimal model in normal condition and even with series disturbance like meal and exercise. The results clearly predict that model predictive controller performance is better and meets the target.
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