To Study the Influence of Injection Timing, Injector Opening Pressure and Blend Percentage on Engine Performance and Emissions by the Integration of Taguchi and RSM for an Engine Fuelled with CAOME
Authors
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Assistant Professor, School of Mechanical Engineering, REVA University, Bengaluru 560064, Karnataka ,IN
Varun Kumar Reddy N -
Professor, Department of Mechanical Engineering, B V C Engineering College, Allavaram 533210, Andhra Pradesh ,INY. Sujatha
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Assistant Professor, Department of Mechanical Engineering, Nitte Meenakshi Institute of Technology, Bengaluru 560064, Karnataka ,INArun Kumar G L
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Sr. Assistant Professor, Department of Mechanical Engineering, Alva’s Institute of Engineering and Technology, Moodbidri 574225, Karnataka ,INGurushanth B Vaggar
DOI:
https://doi.org/10.18311/jmmf/2022/32948Keywords:
Taguchi, Performance, S/N ratio, ANOVA, BiodieselAbstract
Carbon neutral fuels must have a control over global warming. Even through passenger vehicle can be replaced with electrical and hybrid vehicles, but it is extremely difficult to replace goods transport vehicles which uses hydrocarbon fuels. Biofuels are one that can be obtained from various feedstock’s including grains and green matter with high starch and sugar content such as corn, sugar cane and sugar beets. The castor oil methyl esters, which is non-edible in nature fulfils the requirement of fuel for internal combustion engine. The conventional experimental scheme needs more time for optimization and substantial number of experiments need to perform as it is possible to vary a single operating variable at a time and is expensive. Mathematical models of Taguchi method using design of experiments (DOE) give superior results. By using DOE, Taguchi L9 orthogonal array is considered. Analysis of variance (ANOVA), The Regression Equation and signal-to-noise (S/N) ratio are obtained to predict the best parameters and to evaluate the influence of significant conditions on performance, emission and combustion characteristics. The mathematical model obtained by integration of Taguchi method and RSM is successfully validated with accuracy of 95%.
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