Shahrul Azmir Osman

Bio: Shahrul Azmir Osman is an academic researcher. The author has contributed to research in topics: Gasoline & Octane rating. The author has an hindex of 1, co-authored 1 publications receiving 1 citations.

Experimental investigation of butanol gasoline blends effect on the mass fraction burned in a spark ignition engine

Abstract: The growing energy demand and the limitation of the fossil fuels force the transportation sector to seek for alternative energy sources. Butanol has emerged as one of the potential alternative energy solution especially for spark ignition engines. Experimental study on engine combustion characteristics particularly on mass fraction burned (MFB) of spark ignition engines fueled with secondary butyl alcohol (sec-butanol) gasoline blends was carried out. Engine was operated at engine speeds 3500 RPM with 50% of wide throttle open (WTO) for each blend (5%, 10% and 15% volume of sec-butanol) and neat gasoline. The in-cylinder pressure data were collected and the average cycle was integrate to obtain MFB profiles. Based on the MFB results at using sec-butanol gasoline blends is always taken higher value of degree of crank angle compared to gasoline fuels. However, throughout the analysis, by addition of 15% of volume in gasoline fuels reduced the 10 – 90% early flame propagation, 10 – 90% combustion duration and early position of degree of crank angle at 50% of MFB for 1.7%, 4.5% and 5.9% respectively with respect ot gasoline fuels.

Multivariate analysis on the influence of physicochemical parameters on the calorific value of oils used in the petrochemical industry

Abstract: Multivariate statistical techniques were applied to identify the behavior of physicochemical parameters on calorific value in oil samples used in the industrial petrochemical sector of Mamonal in Cartagena de indias, Colombian Caribbean. Initially a physicochemical characterization of the samples was carried out through a principal components analysis, then a cluster analysis to identify similarities between the samples and to have a better description of the samples and finally a multiple regression model is fitted to determine the physicochemical factors that influence In the behavior of the calorific value of the oil samples. The results show that there are different associations between the physicochemical parameters; The cluster analysis yielded 4 groups of oil samples with different physicochemical behaviors and according to the criterion of loss of AIC information in the linear regression model, samples with low sulfur, sodium and ash content and high zinc content, Phosphorus and chlorine contribute to the increase of calorific value in the samples. KeywordOil reused, Principal components analysis, Heat power, Physicochemical variables.