Statistical optimization of biolubricant production from Jatropha curcas oil using trimethylolpropane as a polyol

Musa Umaru, Mohammed Ibrahim Aris, Sadiq Muhammad Munnir, Aliyu Musa Aliyu, Folorunsho Aberuagba, Adekunle Joseph Isaac

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents the optimization and modeling of transesterification of Jatropha curcas methyl ester (JME) with trimethylolpropane (TMP) as a polyol in the presence of potassium hydroxide catalyst. The optimization of the transesterification reaction was carried out using 23 response surface methodology experimental design studying the effect of temperature (109.77-160.23 °C), reaction time (20 minutes to 3.68 hours) and catalyst concentration (0.73 to 1.73 % w/w) at a constant mole ratio of JME to TMP of 3.9: 1 under vacuum condition. The results of effect of process variables revealed that an optimum condition for the biolubricant synthesis was at a temperature of 120 °C, reaction time of 3 hours and catalyst concentration of 0.8 % w/w optimum was obtained. The percentage yield of biolubricant was 96.95 % as against 98.09 % predicted by the model. The statistical analyses of the data lead to development of the second order quadratic polynomial regression model which establishes the relationship between biolubricant yield and the process variables. The model was able adequately to predict the biolubricant yield with a co efficient of determination (R) of 0.9068.

Original languageEnglish
Title of host publicationWCECS 2016 - World Congress on Engineering and Computer Science 2016
EditorsS. I. Ao, Craig Douglas, Warren S. Grundfest
PublisherNewswood Limited
Pages592-597
Number of pages6
ISBN (Electronic)9789881404824
Publication statusPublished - 21 Oct 2016
Externally publishedYes
Event2016 World Congress on Engineering and Computer Science - San Francisco, United States
Duration: 19 Oct 201621 Oct 2016

Publication series

NameLecture Notes in Engineering and Computer Science
Volume2226
ISSN (Print)2078-0958

Conference

Conference2016 World Congress on Engineering and Computer Science
Abbreviated titleWCECS 2016
CountryUnited States
CitySan Francisco
Period19/10/1621/10/16

Fingerprint

Polyols
Transesterification
Catalysts
Esters
Potassium hydroxide
Design of experiments
Polynomials
Vacuum
Temperature
Oils

Cite this

Umaru, M., Aris, M. I., Munnir, S. M., Aliyu, A. M., Aberuagba, F., & Isaac, A. J. (2016). Statistical optimization of biolubricant production from Jatropha curcas oil using trimethylolpropane as a polyol. In S. I. Ao, C. Douglas, & W. S. Grundfest (Eds.), WCECS 2016 - World Congress on Engineering and Computer Science 2016 (pp. 592-597). (Lecture Notes in Engineering and Computer Science; Vol. 2226). Newswood Limited.
Umaru, Musa ; Aris, Mohammed Ibrahim ; Munnir, Sadiq Muhammad ; Aliyu, Aliyu Musa ; Aberuagba, Folorunsho ; Isaac, Adekunle Joseph. / Statistical optimization of biolubricant production from Jatropha curcas oil using trimethylolpropane as a polyol. WCECS 2016 - World Congress on Engineering and Computer Science 2016. editor / S. I. Ao ; Craig Douglas ; Warren S. Grundfest. Newswood Limited, 2016. pp. 592-597 (Lecture Notes in Engineering and Computer Science).
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abstract = "This paper presents the optimization and modeling of transesterification of Jatropha curcas methyl ester (JME) with trimethylolpropane (TMP) as a polyol in the presence of potassium hydroxide catalyst. The optimization of the transesterification reaction was carried out using 23 response surface methodology experimental design studying the effect of temperature (109.77-160.23 °C), reaction time (20 minutes to 3.68 hours) and catalyst concentration (0.73 to 1.73 {\%} w/w) at a constant mole ratio of JME to TMP of 3.9: 1 under vacuum condition. The results of effect of process variables revealed that an optimum condition for the biolubricant synthesis was at a temperature of 120 °C, reaction time of 3 hours and catalyst concentration of 0.8 {\%} w/w optimum was obtained. The percentage yield of biolubricant was 96.95 {\%} as against 98.09 {\%} predicted by the model. The statistical analyses of the data lead to development of the second order quadratic polynomial regression model which establishes the relationship between biolubricant yield and the process variables. The model was able adequately to predict the biolubricant yield with a co efficient of determination (R) of 0.9068.",
keywords = "lubricants, vegetable oils, viscosity index",
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Umaru, M, Aris, MI, Munnir, SM, Aliyu, AM, Aberuagba, F & Isaac, AJ 2016, Statistical optimization of biolubricant production from Jatropha curcas oil using trimethylolpropane as a polyol. in SI Ao, C Douglas & WS Grundfest (eds), WCECS 2016 - World Congress on Engineering and Computer Science 2016. Lecture Notes in Engineering and Computer Science, vol. 2226, Newswood Limited, pp. 592-597, 2016 World Congress on Engineering and Computer Science, San Francisco, United States, 19/10/16.

Statistical optimization of biolubricant production from Jatropha curcas oil using trimethylolpropane as a polyol. / Umaru, Musa; Aris, Mohammed Ibrahim; Munnir, Sadiq Muhammad; Aliyu, Aliyu Musa; Aberuagba, Folorunsho; Isaac, Adekunle Joseph.

WCECS 2016 - World Congress on Engineering and Computer Science 2016. ed. / S. I. Ao; Craig Douglas; Warren S. Grundfest. Newswood Limited, 2016. p. 592-597 (Lecture Notes in Engineering and Computer Science; Vol. 2226).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Statistical optimization of biolubricant production from Jatropha curcas oil using trimethylolpropane as a polyol

AU - Umaru, Musa

AU - Aris, Mohammed Ibrahim

AU - Munnir, Sadiq Muhammad

AU - Aliyu, Aliyu Musa

AU - Aberuagba, Folorunsho

AU - Isaac, Adekunle Joseph

PY - 2016/10/21

Y1 - 2016/10/21

N2 - This paper presents the optimization and modeling of transesterification of Jatropha curcas methyl ester (JME) with trimethylolpropane (TMP) as a polyol in the presence of potassium hydroxide catalyst. The optimization of the transesterification reaction was carried out using 23 response surface methodology experimental design studying the effect of temperature (109.77-160.23 °C), reaction time (20 minutes to 3.68 hours) and catalyst concentration (0.73 to 1.73 % w/w) at a constant mole ratio of JME to TMP of 3.9: 1 under vacuum condition. The results of effect of process variables revealed that an optimum condition for the biolubricant synthesis was at a temperature of 120 °C, reaction time of 3 hours and catalyst concentration of 0.8 % w/w optimum was obtained. The percentage yield of biolubricant was 96.95 % as against 98.09 % predicted by the model. The statistical analyses of the data lead to development of the second order quadratic polynomial regression model which establishes the relationship between biolubricant yield and the process variables. The model was able adequately to predict the biolubricant yield with a co efficient of determination (R) of 0.9068.

AB - This paper presents the optimization and modeling of transesterification of Jatropha curcas methyl ester (JME) with trimethylolpropane (TMP) as a polyol in the presence of potassium hydroxide catalyst. The optimization of the transesterification reaction was carried out using 23 response surface methodology experimental design studying the effect of temperature (109.77-160.23 °C), reaction time (20 minutes to 3.68 hours) and catalyst concentration (0.73 to 1.73 % w/w) at a constant mole ratio of JME to TMP of 3.9: 1 under vacuum condition. The results of effect of process variables revealed that an optimum condition for the biolubricant synthesis was at a temperature of 120 °C, reaction time of 3 hours and catalyst concentration of 0.8 % w/w optimum was obtained. The percentage yield of biolubricant was 96.95 % as against 98.09 % predicted by the model. The statistical analyses of the data lead to development of the second order quadratic polynomial regression model which establishes the relationship between biolubricant yield and the process variables. The model was able adequately to predict the biolubricant yield with a co efficient of determination (R) of 0.9068.

KW - lubricants

KW - vegetable oils

KW - viscosity index

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UR - http://www.iaeng.org/publication/WCECS2016/

M3 - Conference contribution

AN - SCOPUS:85013487542

T3 - Lecture Notes in Engineering and Computer Science

SP - 592

EP - 597

BT - WCECS 2016 - World Congress on Engineering and Computer Science 2016

A2 - Ao, S. I.

A2 - Douglas, Craig

A2 - Grundfest, Warren S.

PB - Newswood Limited

ER -

Umaru M, Aris MI, Munnir SM, Aliyu AM, Aberuagba F, Isaac AJ. Statistical optimization of biolubricant production from Jatropha curcas oil using trimethylolpropane as a polyol. In Ao SI, Douglas C, Grundfest WS, editors, WCECS 2016 - World Congress on Engineering and Computer Science 2016. Newswood Limited. 2016. p. 592-597. (Lecture Notes in Engineering and Computer Science).