2018
DOI: 10.4236/gsc.2018.81004
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Optimization of Rubber Seed Oil Transesterification to Biodiesel Using Experimental Designs and Artificial Neural Networks

Abstract: The development of biofuels is driven both by concern about the greenhouse effect and by interest in the opportunities for exploitation of biomass of agricultural origin. In order to improve the yield and quality of biodiesel through modeling and optimization, several studies are in progress. In this paper, biodiesel produced from rubber seed oil in the homogeneous transesterification is studied using a Plackett-Burman experimental design, a full factorial design, a central composite design and an Artificial N… Show more

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Cited by 2 publications
(4 citation statements)
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“…Under these conditions, the specific gravity value is 0.84 and that of the kinematic gravity is 2.97 cSt. The responses (specific gravity and kinematic viscosity) obtained under optimal conditions show that these values comply with the Ivorian specification for diesel [5]. These values are of the same order as that of Uzun et al [14].…”
Section: Multi Response Optimization (Specific Gravity Kinematicsupporting
confidence: 78%
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“…Under these conditions, the specific gravity value is 0.84 and that of the kinematic gravity is 2.97 cSt. The responses (specific gravity and kinematic viscosity) obtained under optimal conditions show that these values comply with the Ivorian specification for diesel [5]. These values are of the same order as that of Uzun et al [14].…”
Section: Multi Response Optimization (Specific Gravity Kinematicsupporting
confidence: 78%
“…For mixture data, the contour plot shows the relationships between constituent proportions and specific gravity. Throughout the experimental domain, the specific gravity values respect the Ivorian diesel standard [5]. In the zone where the specific gravity values are between 0.830 and 0.850 the proportion of UFO is 40%.…”
Section: Optimal Zonementioning
confidence: 99%
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