Empirical redundancy and significance hierarchy alternative modelling of internal combustion engine

Abstract

The use of bio diesel as an alternative fuel in the pursuit of renewable and sustainable energy newlinehas raised new technological, economic and environmental concerns. Although it has been newlinealmost 150 years since the introduction of the internal combustion engine, research seeking newlineengineering solutions still continues. Driving quality, performance and fuel economy have newlinebeen improved while emissions have been lowered significantly. But there has not been any newlineunified analytical model that can capture the internal combustion engine as a complete newlinesystem from thermodynamic, mechanical or chemical perspective per se. newlineApproaches for studying internal combustion engines have undergone multiple paradigm newlineshifts from fundamental analytical modelling to gross phenomenological studies, then to newlinecomputational approaches in the last few decades. With experimental research methods newlineusually too involving in terms of engineering costs, computational approaches to deliver newlinenumerical solutions have been inevitable as a research methodology or even sometimes, is newlineleft as the only feasible method. And yet, accurate computational solutions incur high newlineengineering costs; and they cut out in delivering quick and pragmatic industry feasible newlinesolutions. To this compensation, this thesis took alternative non-conventional empirical newlineapproaches that addressed of the system as well. newline