naa a22 4500 510731651 CHVBK 20180411082955.0 cr unu---uuuuu 180411e20131201xx s 000 0 eng 10.1007/s11708-013-0267-5 doi (NATIONALLICENCE)springer-10.1007/s11708-013-0267-5 Development of a combined approach for improvement and optimization of karanja biodiesel using response surface methodology and genetic algorithm [Elektronische Daten] [Sunil Dhingra, Gian Bhushan, Kashyap Dubey] This paper described the production of karanja biodiesel using response surface methodology (RSM) and genetic algorithm (GA). The optimum combination of reaction variables were analyzed for maximizing the biodiesel yield. The yield obtained by the RSM was 65% whereas the predicted value was 70%. The mathematical regression model proposed from the RSM was coupled with the GA. By using this technique, 90% of the yield was obtained at a molar ratio of 38, a reaction time of 8 hours, a reaction temperature of 40 °C, a catalyst concentration of 2% oil, and a mixing speed of 707 r/min. The yield produced was closer to the predicted value of 94.2093%. Hence, 25% of the improvement in the biodiesel yield was reported. Moreover the different properties of karanja biodiesel were found closer to the American Society for Testing & Materials (ASTM) standard of biodiesel. Higher Education Press and Springer-Verlag Berlin Heidelberg, 2013 optimization of karanja biodiesel nationallicence genetic algorithm (GA) nationallicence response surface methodology (RSM) nationallicence percentage improvement in the biodiesel yield nationallicence properties of biodiesel nationallicence Dhingra Sunil University Institute of Engineering and Technology, Kurukshetra University, 136119, Kurukshetra, India aut Bhushan Gian University Institute of Engineering and Technology, Kurukshetra University, 136119, Kurukshetra, India aut Dubey Kashyap University Institute of Engineering and Technology, Kurukshetra University, 136119, Kurukshetra, India aut Frontiers in Energy Springer Berlin Heidelberg 7/4(2013-12-01), 495-505 2095-1701 7:4<495 2013 7 11708 https://doi.org/10.1007/s11708-013-0267-5 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11708-013-0267-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Dhingra Sunil University Institute of Engineering and Technology, Kurukshetra University, 136119, Kurukshetra, India aut NATIONALLICENCE 700 1- Bhushan Gian University Institute of Engineering and Technology, Kurukshetra University, 136119, Kurukshetra, India aut NATIONALLICENCE 700 1- Dubey Kashyap University Institute of Engineering and Technology, Kurukshetra University, 136119, Kurukshetra, India aut NATIONALLICENCE 773 0- Frontiers in Energy Springer Berlin Heidelberg 7/4(2013-12-01), 495-505 2095-1701 7:4<495 2013 7 11708 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer