RSM and artificial neural networking based production optimization of sustainable cotton bio-lubricant and evaluation of its lubricity & tribological properties

Muhammad, Gul and Mohd Zulkifli, Nurin Wahidah and Md. Abul, Kalam and H.H., Masjuki and Abbas, Muhammad Mujtaba and Yousuf, Sumra and Bashir, M. Nasir and Ahmed, Waqar and M.N.A.M., Yusoff and Noor, Shazia and Ahmad, Rauf and Hassan, M. Tahir (2021) RSM and artificial neural networking based production optimization of sustainable cotton bio-lubricant and evaluation of its lubricity & tribological properties. Energy Reports, 7. pp. 830-839. ISSN 2352-4847

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Abstract

Depletion of mineral reservoirs along with health and environmental concerns have led to a greater focus on bio-lubricants. The purpose of this study was to analyze and optimize the reaction conditions of the transesterification process for cotton biolubricant synthesis by using Response Surface Methodology (RSM). In RSM, Rotatable central composite design was selected to examine the effect of reaction input factors on the yield of cotton bio-lubricant during the transesterification process. ANOVA analysis showed that temperature was the most significant factor followed by time, pressure and catalyst-concentration. Optimum reaction conditions obtained by RSM for maximum TMP tri-ester (cotton bio-lubricant) yield of about 37.52% were 144 ◦C temperature, 10 h time, 25 mbar pressure, and 0.8% catalyst-concentration. RSM predicted results were successfully validated experimentally and by artificial neural networking. About 90%–94% cotton seed oil bio-lubricant was obtained after purification and its physiochemical, lubricity and tribological properties were evaluated and found comparable with ISO VG-46 and SAE-40 mineral lubricant. Hence, cottonseed oil is a potential source for the bio-lubricant industry.

Item Type:	Article (Journal)
Uncontrolled Keywords:	ANN; Cotton biolubricant; Optimization; RSM; Transesterification; Trimethylolpropane
Subjects:	T Technology > T Technology (General) > T173.2 Technological change T Technology > TJ Mechanical engineering and machinery > TJ163.26 Energy conservation
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Mechanical Engineering
Depositing User:	Professor Masjuki Hassan
Date Deposited:	26 Oct 2021 10:41
Last Modified:	26 Oct 2021 10:41
URI:	http://irep.iium.edu.my/id/eprint/93259

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