Production and optimization from Karanja oil by adaptive neuro-fuzzy inference system and response surface methodology with modified domestic microwave

被引：18
|
作者：
Kumar, Sunil [1 ]
机构：
[1] FET, GKV, Hardwar, India
来源：
FUEL | 2021年 / 296卷
关键词：
Karanja oil; Microwave; Biodiesel; Modelling; ANFIS; RSM; ALKALI-CATALYZED TRANSESTERIFICATION; CEIBA-PENTANDRA OIL; BIODIESEL PRODUCTION; SEED OIL; FUEL; PERFORMANCE;
D O I：
10.1016/j.fuel.2021.120684
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In this study, Karanja oil was investigated under different operating conditions such as Methanol: oil molar ratio, catalyst, Volume, and time with microwave power to produce the biodiesel. Four factors with three levels BoxBehnken response surface design (BBD) was used to optimize and investigate the effect of process variables on the biodiesel production. ANFIS tool was adopted for modelling and prediction. RSM and ANFIS models describe correlation coefficient of 0.85 and 0.95 respectively. The physico-chemical properties of Karanja oil methyl ester are characterized out using standard methods.
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页数：8
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