Thermal conductivity of nanofluids: A review on prediction models, controversies and challenges

• Tipo: Outra Publicação em Revista Científica Internacional
• Data: 2021

Autores

Gonçalves, I (Autor) Outra; Souza, R (Autor) Outra; Coutinho, G (Autor) Outra; Miranda, JM (Autor) FEUP; Moita, A (Autor) Outra; Pereira, JE (Autor) Outra; Moreira, A (Autor) Outra; Lima, R (Autor) Outra

Revista

Título: Applied Sciences

Vol. 11

Página Final: 2525

Editora: MDPI

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00T-QB7

DOI: 10.3390/app11062525

Abstract (EN): In recent years, the nanofluids (NFs) have become the main candidates for improving or even replacing traditional heat transfer fluids. The possibility of NFs to be used in various technological applications, from renewable energies to nanomedicine, has made NFs and their thermal conductivity one of the most studied topics nowadays. Hence, this review presents an overview of the most important advances and controversial results related to the NFs thermal conductivity. The different techniques used to measure the thermal conductivity of NFs are discussed. Moreover, the fundamental parameters that affect the NFs thermal conductivity are analyzed, and possible improvements are addressed, such as the increase of long-term stability of the nanoparticles (NPs).The most representative prediction classical models based on fluid mechanics, thermodynamics, and experimental fittings are presented. Also, the recent statistical machine learning-based prediction models are comprehensively addressed, and the comparison with the classical empirical ones is made, whenever possible. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 26