期刊
PERIODICA POLYTECHNICA-CHEMICAL ENGINEERING
卷 62, 期 2, 页码 202-208出版社
BUDAPEST UNIV TECHNOLOGY ECONOMICS
DOI: 10.3311/PPch.9670
关键词
nanofluids; fuzzy networks; thermal conductivity; ANFIS
In this article, thermal conductivity data of aqueous nano-fluids of CuO have been modeled through one of the instruments of empirical data modeling. The input data of 5 different volume fractions of nanofluid obtained in four temperatures through experiments have been considered as network inputs. Also, triangular function, due to providing the best responses, has been used as membership function in ANFIS structure. The modeling results show that fuzzy networks are able to model thermal conductivity results of nanofiuids with good precision. Regression coefficient of this modeling has been 0.99.
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