Process Optimization of Biodiesel Production for Mixed Neem (Azadirachta indica) and Sesame (Sesamum indicum L.) Biodiesel Using Response Surface Methodology Based on Doehlert’s Experimental Design

Experimental Design ◽

Response Surface ◽

Process Optimization ◽

Azadirachta Indica ◽

Sesamum Indicum ◽

Process Optimization of Biodiesel Production from Cedar Wood Oil (Cedrus deodara) Using Response Surface Methodology

10.4271/2018-01-0665 ◽

2018 ◽

Cited By ~ 3

Author(s):

Tarun Mehra

Keyword(s):

Response Surface ◽

Process Optimization ◽

Biodiesel Production ◽

Cedrus Deodara

Biodiesel production using a novel heterogeneous catalyst, magnesium zirconate (Mg2Zr5O12): Process optimization through response surface methodology (RSM)

Energy Conversion and Management ◽

10.1016/j.enconman.2018.08.029 ◽

2018 ◽

Vol 174 ◽

pp. 198-207 ◽

Cited By ~ 23

Author(s):

Veena Singh ◽

Lyubov Belova ◽

Bhaskar Singh ◽

Yogesh Chandra Sharma

Keyword(s):

Response Surface ◽

Heterogeneous Catalyst ◽

Process Optimization ◽

Modeling of ultrasound assisted intensification of biodiesel production from neem (Azadirachta indica) oil using response surface methodology and artificial neural network

Fuel ◽

10.1016/j.fuel.2014.11.058 ◽

2015 ◽

Vol 143 ◽

pp. 262-267 ◽

Cited By ~ 46

Author(s):

J. Prakash Maran ◽

B. Priya

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface ◽

Azadirachta Indica ◽

Biodiesel Production ◽

Ultrasound Assisted ◽

Artificial Neural

Process optimization for biodiesel production from mahua (Madhuca indica) oil using response surface methodology

Bioresource Technology ◽

10.1016/j.biortech.2005.03.014 ◽

2006 ◽

Vol 97 (3) ◽

pp. 379-384 ◽

Cited By ~ 263

Author(s):

Shashikant Vilas Ghadge ◽

Hifjur Raheman

Keyword(s):

Response Surface ◽

Process Optimization ◽

Process optimization and kinetic study for biodiesel production from non-edible sea mango (Cerbera odollam) oil using response surface methodology

Chemical Engineering Journal ◽

10.1016/j.cej.2012.10.048 ◽

2013 ◽

Vol 214 ◽

pp. 157-164 ◽

Cited By ~ 45

Author(s):

Jibrail Kansedo ◽

Keat Teong Lee

Keyword(s):

Kinetic Study ◽

Response Surface ◽

Process Optimization ◽

Process optimization design for jatropha-based biodiesel production using response surface methodology

Fuel Processing Technology ◽

10.1016/j.fuproc.2011.08.018 ◽

2011 ◽

Vol 92 (12) ◽

pp. 2420-2428 ◽

Cited By ~ 125

Author(s):

H.V. Lee ◽

R. Yunus ◽

J.C. Juan ◽

Y.H. Taufiq-Yap

Keyword(s):

Response Surface ◽

Process Optimization ◽

Optimization Design ◽

Process Optimization for Biodiesel Production from Waste Cooking Palm Oil (Elaeis guineensis) Using Response Surface Methodology

Energy & Fuels ◽

10.1021/ef8007954 ◽

2009 ◽

Vol 23 (2) ◽

pp. 1040-1044 ◽

Cited By ~ 51

Author(s):

L. H. Chin ◽

B. H. Hameed ◽

A. L. Ahmad

Keyword(s):

Response Surface ◽

Process Optimization ◽

Palm Oil ◽

Elaeis Guineensis ◽

Biodiesel Production ◽

Waste Cooking Palm Oil

Process optimization for biodiesel production from waste cooking oil using multi-enzyme systems through response surface methodology

Renewable Energy ◽

10.1016/j.renene.2016.12.086 ◽

2017 ◽

Vol 105 ◽

pp. 465-472 ◽

Cited By ~ 43

Author(s):

Mohadese Babaki ◽

Maryam Yousefi ◽

Zohreh Habibi ◽

Mehdi Mohammadi

Keyword(s):

Response Surface ◽

Process Optimization ◽

Waste Cooking Oil ◽

Biodiesel Production ◽

Cooking Oil ◽

Enzyme Systems

Effect of alumina loading on the properties and activity of SO42−/ZrO2 for biodiesel production: Process optimization via response surface methodology

Journal of the Taiwan Institute of Chemical Engineers ◽

10.1016/j.jtice.2017.12.007 ◽

2018 ◽

Vol 83 ◽

pp. 115-123 ◽

Cited By ~ 19

Author(s):

Behgam Rahmani Vahid ◽

Naser Saghatoleslami ◽

Hamed Nayebzadeh ◽

Javad Toghiani

Keyword(s):

Production Process ◽

Response Surface ◽

Process Optimization ◽

Ultrasound assisted biodiesel production from sesame (Sesamum indicum L.) oil using barium hydroxide as a heterogeneous catalyst: Comparative assessment of prediction abilities between response surface methodology (RSM) and artificial neural network (ANN)

Ultrasonics Sonochemistry ◽

10.1016/j.ultsonch.2015.01.013 ◽

2015 ◽

Vol 26 ◽

pp. 218-228 ◽

Cited By ~ 103

Author(s):

Antaram Sarve ◽

Shriram S. Sonawane ◽

Mahesh N. Varma

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface ◽

Heterogeneous Catalyst ◽

Sesamum Indicum ◽

Comparative Assessment ◽

Biodiesel Production ◽

Ultrasound Assisted ◽

Artificial Neural Network Ann