Thermal conductivity modeling of periodic porous silicon with aligned cylindrical pores

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


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

2011 ◽  
Vol 96 (1) ◽  
pp. 16001 ◽  
Author(s):  
J. de Boor ◽  
D. S. Kim ◽  
X. Ao ◽  
D. Hagen ◽  
A. Cojocaru ◽  
...  

1999 ◽  
Vol 86 (8) ◽  
pp. 4700-4702 ◽  
Author(s):  
S. Périchon ◽  
V. Lysenko ◽  
B. Remaki ◽  
D. Barbier ◽  
B. Champagnon

2006 ◽  
Vol 513 (1-2) ◽  
pp. 385-390 ◽  
Author(s):  
A. Wolf ◽  
R. Brendel

Sign in / Sign up

Export Citation Format

Share Document