Propose a new approach of fuzzy lookup table method to predict Al2O3/deionized water nanofluid thermal conductivity based on achieved empirical data

Yu Jiang, Mehrdad Bahrami, Seyed Amin Bagherzadeh, Ali Abdollahi, Mohsen Tahmasebi Sulgani, Arash Karimipour, Marjan Goodarzi and Quang-Vu Bach

Physica A: Statistical Mechanics and its Applications, 2019, vol. 527, issue C

Abstract: The mixture of Al2O3/deionized water nanofluid thermal conductivity is experimentally examined at various temperatures and mass fractions. Then, a new prediction approach of fuzzy lookup table method (FLTM) is developed to estimate the mixture thermal conductivity. The thermal conductivity of Al2O3/deionized water nanofluid is measured by several experiments; and then the statistical/numerical approach of fuzzy lookup table method is presented. It is seen that more temperature and nanoparticles concentration correspond to more nanofluid thermal conductivity. It is also observed that the proposed model can be utilized to predict the output at the training data-set in order to verify its precision. Moreover, the model outputs error percentages respect to the measured thermal conductivity for dissimilar temperatures and nanoparticle concentrations are small which means the resultant model can be interpreted as an acceptable approach due to small values of errors and less computation costs.

Keywords: Al2O3/deionized water nanofluid; Fuzzy lookup table method; Thermal conductivity; Statistical/numerical approach (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:527:y:2019:i:c:s0378437119307083

DOI: 10.1016/j.physa.2019.121177

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