Experimental and regression analysis for multi cylinder diesel engine operated with hybrid fuel blends

Abstract

The purpose of this research work is to build a multiple linear regression model for the characteristics of multicylinder diesel engine using multicomponent blends (diesel-pungamia methyl ester-ethanol) as fuel. Nine blends were tested by varying diesel (100 to 10% by vol.), biodiesel (80 to 10% by vol.), and keeping ethanol as 10% constant. The brake thermal efficiency, smoke, oxides of nitrogen, carbon dioxide, maximum cylinder pressure, angle of maximum pressure, angle of 5% and 90% mass burning were predicted based on load, speed, diesel, and biodiesel percentage. To validate this regression model anoth26.506er multi component fuel comprising diesel-palm methyl ester-ethanol was used in same engine. Statistical analysis was carried out between predicted and experimental data for both fuel. The performance, emission, and combustion characteristics of multi cylinder diesel engine using similar fuel blends can be predicted without any expenses for experimentation.

Numerical study of different shape design of piston bowl for diesel engine combustion in a light duty single-cylinder engine

“…The simulation results in ppm are converted in to g/Kwh as in the Eq. (1) by the ( Gopal et al., 2014 )

Figure 7 NOx emissions concentrations [g/kWh].

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Investigation of RBFNN Based on Improved PSO Optimization Algorithm for Performance and Emissions Prediction of a High‐Pressure Common‐Rail Diesel Engine

“…At present, the modeling methods used to predict engine response include physical modeling, [ 9–11 ] statistical modeling, [ 12–16 ] thermodynamic modeling, [ 17–21 ] and software package‐based modeling. [ 22,23 ] Physical modeling is the composition of separate sub‐models of components and systems of a diesel engine according to the laws of physics.…”