Thermal conductivity modeling on highly disordered crystalline Y1−xNbxO1.5+x: Beyond the phonon scenario

2021 ◽  
Vol 118 (7) ◽  
pp. 073901
Author(s):  
Muzhang Huang ◽  
Xiangyang Liu ◽  
Peng Zhang ◽  
Xin Qian ◽  
Yingjie Feng ◽  
...  
2010 ◽  
Vol 108 (4) ◽  
pp. 044306 ◽  
Author(s):  
Tse-Yang Hsieh ◽  
Jaw-Yen Yang

2017 ◽  
Vol 62 (2) ◽  
pp. 202 ◽  
Author(s):  
Mohammad Hemmat Esfe

In this article, thermal conductivity data of aqueous nanofluids 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 nanofluids with good precision. Regression coefficient of this modeling has been 0.99.


2012 ◽  
Vol 111 (12) ◽  
pp. 124329 ◽  
Author(s):  
Tse-Yang Hsieh ◽  
Herng Lin ◽  
Tsang-Jen Hsieh ◽  
Juan-Chen Huang

Nano Letters ◽  
2005 ◽  
Vol 5 (6) ◽  
pp. 1111-1115 ◽  
Author(s):  
Ronggui Yang ◽  
Gang Chen ◽  
Mildred S. Dresselhaus

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