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Elemental, Thermal and Physicochemical Investigation of Novel Biodiesel from Wodyetia Bifurcata and Its Properties Optimization using Artificial Neural Network (ANN)
Author(s) -
Aditya Kolakoti,
Prasada Rao Bobbili,
Katakam Satyanarayana,
Muji Setiyo,
Hasan Köten,
Metta Raghu
Publication year - 2021
Publication title -
automotive experiences/automotive experiences
Language(s) - English
Resource type - Journals
eISSN - 2615-6636
pISSN - 2615-6202
DOI - 10.31603/ae.6171
Subject(s) - biodiesel , cetane number , response surface methodology , yield (engineering) , transesterification , raw material , correlation coefficient , materials science , artificial neural network , biodiesel production , coefficient of determination , pulp and paper industry , process (computing) , chemistry , chemical engineering , process engineering , biological system , chromatography , organic chemistry , computer science , composite material , engineering , machine learning , catalysis , biology , operating system

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