Numerical study and optimization of hydrothermal characteristics of mn-zn ferrite nanofluid within annulus in the presence of magnetic field

Journal of Superconductivity and Novel Magnetism

Volumn 27, Issue 2, 2014, Pages 527-534

  Bahiraei, Mehdi ^a,b   Hosseinalipour, Seyed Mostafa ^b   Hangi, Morteza ^b  

^a KERMANSHAH UNIVERSITY OF TECHNOLOGY   (Iran)

^b IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

Author keywords

Compromise programming; Heat transfer; Magnetic nanofluid; Mn Zn ferrite; Neural network

Indexed keywords

COMPROMISE PROGRAMMING; CONCENTRATION DISTRIBUTIONS; CONVECTIVE HEAT TRANSFER COEFFICIENT; HEAT TRANSFER AND PRESSURE DROP; MAGNETIC FIELD GRADIENT; MAGNETIC NANOFLUID; MN-ZN FERRITES; NONUNIFORM MAGNETIC FIELDS;

GENETIC ALGORITHMS; HEAT TRANSFER; HEAT TRANSFER COEFFICIENTS; MAGNETIC FIELDS; NEURAL NETWORKS; OPTIMIZATION; PRESSURE DROP;

NANOFLUIDICS;

EID: 84893192434     PISSN: 15571939     EISSN: 15571947     Source Type: Journal    
DOI: 10.1007/s10948-013-2299-9     Document Type: Article

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