Comparison study of existing bowl piston and modified bowl piston diesel engine performance emission and combustion characteristics by using diesel

In this investigation, the Modified bowl piston (MBP)diesel engine performanceemission and combustion characteristics have been studied by using diesel (100%D)and compared with theExisting bowl piston (EBP). From the results, it is evident that the MBP has given higher brake thermal efficiency (BTE) at an engine load 80%, 100% and higher exhaust gas temperature (EGT) has been given in engine all loads, when compared with EBP. In emission point of view,the MBP has given lower hydrocarbon (HC),carbon monoxide (CO), smoke at all loads when compared with EBP, However nitrogen oxide (NOX), carbon dioxide (CO2)have increased for MBP. In the combustion point of view MBP has given higher cylinder pressure (CP) and higher cumulative heat release rate (CHRR) at full load condition when compared with EBP.  From the experimental results, it has been concluded that the MBP is anapt one in performance, emission and combustion perspective when compared with EBP by using 100%D

EXPERIMENTAL AND MATHEMATICAL INVESTIGATION ON PERFORMANCE AND EMISSION CHARACTERISTICS OF OXYGEN ENRICHED AIR IN INTAKE OF A SINGLE CYLINDER DIESEL ENGINE

This  research revealed  that the  single cylinder diesel  engine performance and  emission   characteristics are improved by the oxygen content enriched  intake air and was varied between 21% to 27 % (ie., 21,23,25,27%  by the volume). The effects of enriched oxygen with different loads are analyzed in terms of brake thermal efficiency, specific fuel consumption, and also the environmental pollutant like NOx, CO, HC and Smoke. The   mathematical experiment were designed using a statistical tool know as design expert based on response surface modeling. Using RSM to predict the response parameter like brake thermal efficiency, brake specific fuel consumption, carbon monoxide, hydrocarbon, nitrogen oxides and smoke. Optimization of the input and response parameters is also done using desirability approach. Finally a software tool is developed using LabVIEW software for predicting engine parameters when the engine input parameters are given

OPTIMIZATION OF MECHANICAL BEHAVIORS OF BIO PARTICULATES FILLED COIR-POLYESTER COMPOSITES USING SIMULATED ANNEALING

ABSTRACT The mechanical behaviors of Coir-Polyester composites are greatly improved by the impregnation of bio particulates. The present investigation is focused on the evaluation and optimization of mechanical behaviors of CoirPolyester composites filled with bio particulates such as red mud and termite mound soil. The composite fabrications were planned as per Design of Experiments with fabrication parameters like fiber length (mm) and particulate content (%). The tensile, flexural and impact strength of fabricated composites were evaluated as per ASTM standards. The effect of fiber length and particulate content on the mechanical behaviors of Coir-Polyester composites was studied using ANOVA and Response Surface plots. The nonlinear regression models were developed for the prediction of mechanical behaviors over the specified range of conditions. The fabrication parameters for the optimum value of mechanical behaviors were determined using the single solution metaheuristic algorithm called Simulated Annealing

IoT based smart surgical management platform for hospitals to enhance safety in medical treatment

An automated surgical monitoring system was developed and put into use depending mostly on sophisticated IoT. The use of a system for medical professionals to enter and access data reduces errors and saves time needed filling out paperwork, which improves clinical outcomes as well as the standard of care. Additionally, this technique makes it possible to precisely retain and share all the data that was obtained during process. This method may be used as a knowledge basis for new treatments and also decreased the cost to produce surgery document pages and health information pages. The surgical information could save clinical staff effort through routinely storing their private information. We also have implemented voice-based access to information to make it easier for people to access the data. Additionally, a chatbot that serves as a level of understanding for the procedures is educated on the medical data