A predictive model for confined and unconfined nucleate boiling heat transfer coefficient

Autor(es)

Kiyomura, Igor Seicho ^[1] ; Mogaji, Taye Stephen ^{[1, 2]} ; Manetti, Leonardo Lachi ^[1] ; Cardoso, Elaine Maria ^[1]

Afiliação do(s) autor(es)

^[1] Sao Paulo State Univ UNESP, Sch Nat Sci & Engn, Dept Mech Engn, Ave Brasil, 56, BR-15385000 Ilha Solteira, SP - Brazil

^[2] FUTA, Dept Mech Engn, Sch Engn & Engn Technol, PMB 704, Akure, Ondo State - Nigeria

• Tipo de documento: Artigo Científico
• Fonte: APPLIED THERMAL ENGINEERING; v. 127, p. 1274-1284, DEC 25 2017.
• Citações Web of Science: 6

Resumo

The aim of this study is to investigate the influences of different parameters on the boiling phenomenon. In this paper, a new correlation to predict the pool boiling heat transfer coefficient is presented. The developed correlation was based on a database of experimental results, taking into account the effect of surface/liquid combination by considering the influence of contact the angle on pool boiling performance, and also the effect of the nucleate boiling in narrow spaces. The proposed correlation predicts accurately the boiling heat transfer behavior of fluids with significantly different thermophysical properties under confined and unconfined conditions. In order to validate the developed correlation, statistical analyses on the ratios of the experimental and correlated Nusselt numbers were performed. Also, the heat transfer coefficients calculated with the proposed correlation were compared with experimental results for different pool boiling conditions obtained by others authors. (C) 2017 Elsevier Ltd. All rights reserved. (AU)

• Processo FAPESP: 13/15431-7 - Análise da aplicação de nanotecnologia em processos térmicos e de conversão de energia
• Beneficiário: Elaine Maria Cardoso
• Modalidade de apoio: Auxílio à Pesquisa - Jovens Pesquisadores
• Processo FAPESP: 14/19497-5 - Estudo teórico e experimental da Influência de nanofluidos sobre a ebulição nucleada
• Beneficiário: Leonardo Lachi Manetti
• Modalidade de apoio: Bolsas no Brasil - Mestrado