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Subject: Mechanical Engineering × Author: Gautam, Puneet Singh × End date: 2024 × Start date: 2020 × Thesis Type: Ph.D ×
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    ThesisItemOpen Access
    Study on combustion, performance and emission characteristics of water emulsified fuels in C.I. engine
    (G.B. Pant University of Agriculture and Technology, Pantnagar, District Udham Singh Nagar, Uttarakhand. PIN - 263145, 2022-04) Gautam, Puneet Singh; Gupta, V. K.
    In this investigation, tests were carried out to standardize the constituent levels in order to achieve stable emulsions of aqueous and anhydrous alcohols with diesel fuel using Propylene Glycol Monostearate (PGM), Tween 80 as an emulsifier, and octanol as a coemulsifier. The phase separation and homogeneity of several emulsions were observed at room temperature (28°-34°C) and different temperatures ranges (0°-45°C). The engine's combustion, performance, emission characteristics, and combustion stability were evaluated on selected emulsion fuels on a computerized 1-cylinder, four-stroke, watercooled, direct injection diesel engine of constant engine speed. The engine performance was evaluated in terms of performance parameters such as brake power, brake specific fuel consumption, thermal efficiency, and combustion parameters such as cylinder pressure, HRR, ID, CD, MFB, etc. The emission parameters, CO, CO2, HC, NOx, and exhaust gas temperature, were evaluated. The engine's fuel consumption was found to be higher at all brake loads in case of emulsions selected for experimental investigations compared to diesel. Further, a single zone thermodynamic model was developed to predict the combustion characteristics such as in-cylinder pressure, heat release rate (HRR), using fundamental thermodynamic equations and various models. The success of the thermodynamic model was evaluated by statistical metrics (R², standard error (S), Pearson’s correlation (r), and P-value). The model accurately predicted the numerical results of cylinder pressure and HRR for diesel fuel and E50 emulsion at full loading condition. The statistical analysis of the predicted data by regression method and P-value showed strong evidence of significant data by this model. The mean values of the numerical data lay within 95% confidence interval in regression analysis for diesel at full loading condition.