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A Review of Applications Artificial Intelligence in the Nanofluid Domain Hybrid AI Algorithms

  • Open or CloseMohammed B1* and Rachid S

    Laboratory of Energetics and Applied Thermic (ETAP), Algeria

    *Corresponding author: Mohammed B, Laboratory of Energetics and Applied Thermic (ETAP), Algeria

Submission: July 26, 2021Published: August 13, 2021


This paper presents the applications Artificial intelligence in the field of nanofluidic Hybrid AI algorithms. Are becoming beneficial as alternative methods to conventional approaches or as components of embedded systems. They have been used to solve complex applied problems in different fields and are becoming increasingly popular at present. In this survey, for the first time, a comprehensive review of AI algorithms developed to study different nanofluid related problems is conducted. The contributions presented in this paper reveal the strong potential of AI methods as prediction and optimization tools in nanofluids, investigated different aspects of nanofluids in applications such as electronic cooling, solar systems, heat exchangers, microchannels, refrigeration systems, and MCPs. In addition, challenges and directions for future research in the area of using AI techniques in nanofluids are presented and discussed.

Keywords: Artificial intelligence; Nanofluid; Hybrid AI algorithms

Abbreviations: ANFIS: Adaptive Neuro-fuzzy Inference System; ANN: Artificial Neural Networks; GA: Genetic Algorithms

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