Optimization of dual transesterification of jatropha seed oil to biolubricant using hybridized response surface methodology (RSM) and adaptive neuro fuzzy inference system (ANFIS)-genetic algorithm (GA)

Optimization of dual transesterification of jatropha seed oil to biolubricant using hybridized response surface methodology (RSM) and adaptive neuro fuzzy inference system (ANFIS)-genetic algorithm (GA)

The over-reliance of the industrial and automobile sectors on petroleum-based lubricants, the feedstocks of which pose environmental challenges, has generated the need for sustainable alternatives in order to promote economic development and a sustainable green environment. The study investigated th...

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Bibliographic Details
Main Authors: Callistus N. Ude, Christopher N. Igwilo, Kenechi Nwosu-Obieogu, Patrick C. Nnaji, Collins N. Oguanobi, Ndidi F. Amulu, Cordelia Nneka Eze, Uchenna C. Omenihu
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Sustainable Chemistry for the Environment
Subjects:
Response surface methodology
Adaptive neuro fuzzy inference system
Transesterification
Genetic algorithm
Jatropha seed oil
Online Access:http://www.sciencedirect.com/science/article/pii/S2949839223000500

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http://www.sciencedirect.com/science/article/pii/S2949839223000500

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