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.
引用
收藏
页数：8
相关论文
共 50 条
  • [21] A Novel Optimization Algorithm: Cascaded Adaptive Neuro-Fuzzy Inference System
    Namal Rathnayake
    Tuan Linh Dang
    Yukinobu Hoshino
    International Journal of Fuzzy Systems, 2021, 23 : 1955 - 1971
  • [22] Optimization of an adaptive neuro-fuzzy inference system for groundwater potential mapping
    Termeh, Seyed Vahid Razavi
    Khosravi, Khabat
    Sartaj, Majid
    Keesstra, Saskia Deborah
    Tsai, Frank T. -C.
    Dijksma, Roel
    Binh Thai Pham
    HYDROGEOLOGY JOURNAL, 2019, 27 (07) : 2511 - 2534
  • [23] MODELLING PRODUCTION UNCERTAINTIES USING THE ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM
    Azizi, A.
    bin Ali, A. Y.
    Ping, L. W.
    SOUTH AFRICAN JOURNAL OF INDUSTRIAL ENGINEERING, 2015, 26 (01): : 224 - 234
  • [24] Adaptive neuro-fuzzy inference system for forecasting rubber milk production
    Rahmat, R. F.
    Nurmawan
    Sembiring, S.
    Syahputra, M. F.
    Fadli
    10TH INTERNATIONAL CONFERENCE NUMERICAL ANALYSIS IN ENGINEERING, 2018, 308
  • [25] Forecasting Oil Production by Adaptive Neuro Fuzzy Inference system
    Saberi, Morteza
    Azadeh, Ali
    Ghorbani, Sara
    2008 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS, VOLS 1-5, 2008, : 240 - +
  • [26] Bayesian inference using an adaptive neuro-fuzzy inference system
    Knaiber, Mohammed
    Alawieh, Leen
    FUZZY SETS AND SYSTEMS, 2023, 459 : 43 - 66
  • [27] Performance evaluation of adaptive neuro-fuzzy inference system, artificial neural network and response surface methodology in modeling biodiesel synthesis from palm kernel oil by transesterification
    Betiku, E.
    Osunleke, A. S.
    Odude, V. O.
    Bamimore, A.
    Oladipo, B.
    Okeleye, A. A.
    Ishola, N. B.
    BIOFUELS-UK, 2021, 12 (03): : 339 - 354
  • [28] Adaptive neuro-fuzzy inference system (ANFIS) and response surface methodology (RSM) prediction of biodiesel dynamic viscosity at 313 K
    Kassem, Youssef
    Camur, Huseyin
    Esenel, Engin
    9TH INTERNATIONAL CONFERENCE ON THEORY AND APPLICATION OF SOFT COMPUTING, COMPUTING WITH WORDS AND PERCEPTION, ICSCCW 2017, 2017, 120 : 521 - 528
  • [29] Estimation of biogas yields produced from combination of waste by implementing response surface methodology (RSM) and adaptive neuro-fuzzy inference system (ANFIS)
    M. O. Okwu
    O. D. Samuel
    D. R. E. Ewim
    Z. Huan
    International Journal of Energy and Environmental Engineering, 2021, 12 : 353 - 363
  • [30] Mathematically Modified Adaptive Neuro-Fuzzy Inference System for an Intelligent Cyber Security System
    Marimuthu D.
    Rao G.R.K.
    Mehbodniya A.
    Mohanasundaram D.
    Sundaram C.K.
    Maria A.B.
    Mani D.
    SN Computer Science, 4 (5)
12345