H. Joardar; M. K. Parida; A. K. Rout; I. Routaray
Abstract
In the present study the methyl ester of argemone oil, prepared by two step transesterification process due to its high acid value was experimented, in a variable compression ratio (VCR) multi-fuel engine to evaluate the combustion parameters like in cylinder pressure (Pr), net heat release rate (NHRR) ...
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In the present study the methyl ester of argemone oil, prepared by two step transesterification process due to its high acid value was experimented, in a variable compression ratio (VCR) multi-fuel engine to evaluate the combustion parameters like in cylinder pressure (Pr), net heat release rate (NHRR) and cumulative heat release rate (CHRR). For the current analysis engine load, compression ratio and bio-diesel blends are taken as input parameters. The mathematical models were developed and statistical significance was checked using analysis of variance (ANOVA). A second order model is developed and is found to be adequate by ANOVA results. The validation of the model is carried out by comparing the predicated values of output responses with that of experimental results.
M. G. Sobamowo
Abstract
The rapid increase in technological innovations and utilizations have adversely affected the environment and consequently continued to constitute a threat to the future survival of human. To counter these assaults and the threats of further degradation of the environment and human health, the basic recommended ...
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The rapid increase in technological innovations and utilizations have adversely affected the environment and consequently continued to constitute a threat to the future survival of human. To counter these assaults and the threats of further degradation of the environment and human health, the basic recommended approach for predicting the impact of the pollution and for the determination of the risk assessment strategies is through the use of mathematical models. Therefore, this work presents mathematical models for the prediction of the effects of combustion generated pollutants, such as Carbon-monoxide (CO) on human health. The developed coupled system of nonlinear partial differential equation for the ambient concentration of carbon mono-oxide in which the human subject was exposed to and the concentration of Carboxyhemoglobin (COHb) in the blood is solved numerically using Alternating-Direct Implicit (ADI) scheme. From the computations, the variables of the models show significant results in their variations and the standard error of the predicted results from the model range in between 0.5-0.85 for the different concentrations of ambient carbon monoxide. This established that the computed results show good agreement with available experimental data. Therefore, the model can be used as a means of controlling the effects of the pollutant on human health and the results will serve as a way of evaluating our technological injuries, effectively controlling our pollutants emissions and also as a tool for designing and developing better equipments and engines with lower carbon or pollutants emissions.
