Mixed convective cooling of a fin in a channel

Yang, Min‐Hsiung; Yeh, Rong‐Hua; Hwang, Jen-Jyh

doi:10.1016/j.ijheatmasstransfer.2009.10.012

Cited by 25 publications

(12 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[11][12][13][14] In the context of heat treatment and sintering, however, the use of CFD modeling has been limited. Only a few reports are available where CFD modeling has been used to assist in the understanding of the gas flow behavior in an industrial furnace or incinerator.…”

Section: Introductionmentioning

confidence: 99%

The Effects of Sample Position and Gas Flow Pattern on the Sintering of a 7xxx Aluminum Alloy

Yuan

Aminossadati

Huo

et al. 2012

Metall Mater Trans A

View full text Add to dashboard Cite

The effects of sample position and gas flow pattern on the sintering of a 7xxx aluminum alloy Al-7Zn-2.5Mg-1Cu in flowing nitrogen have been investigated both experimentally and numerically. The near-surface pore distribution and sintered density of the samples show a strong dependency on the sample separation distance over the range from 2 mm to 40 mm. The open porosity in each sample increases with increasing separation distance while the closed porosity remains essentially unchanged. A two-dimensional computational fluid dynamics (CFD) model has been developed to analyze the gas flow behavior near the sample surfaces during isothermal sintering. The streamlines, velocity profile, and volume flow rate in the cavity between each two samples are presented as a function of the sample separation distance at a fixed nitrogen flow rate of 6 L/min. The CFD modeling results provide essential details for understanding the near-surface pore distribution and density of the sintered samples. It is proposed that the different gas flow patterns near the sample surfaces result in variations of the oxygen content from the incoming nitrogen flow in the local sintering atmosphere, which affects the self-gettering process of the aluminum compacts during sintering. This leads to the development of different near-surface pore distributions and sintered densities.

show abstract

Section: Introductionmentioning

confidence: 99%

The Effects of Sample Position and Gas Flow Pattern on the Sintering of a 7xxx Aluminum Alloy

Yuan

Aminossadati

Huo

et al. 2012

Metall Mater Trans A

View full text Add to dashboard Cite

show abstract

“…Temperature field As defined in the previous works (Yang, et al, 2010and Andreas, 1996, Krishne Gowda, et al, 1996, the parameter, Gr/Re …”

Section: Rementioning

confidence: 99%

On the Influence of Tube Row Number for Mixed Convection Around Microtubes

Dai

Wang

2013

Heat Transfer Engineering

View full text Add to dashboard Cite

A numerical simulation was performed on the heat transfer of mixed convection for fluid flowing across a micro-tube bundle by using Lattice Boltzmann Method. Firstly, the program code was validated by using a bench mark case of natural convection around a hot single tube inside a square enclosure. The local and averaged heat transfer coefficient of each tube in the bundle with various row numbers was calculated. Numerous cases have been simulated from a weak natural convection case (forced convection) to a pure natural convection case. The results indicate that the total averaged Nusselt number outside the tubes gradually decreases and becomes almost a constant with tube row number at low Reynolds number, which is different from the case of conventional scaled tube. The averaged Nusselt numbers and temperature fields for various situations were compared. The other influencing factors except of the tube row number on the heat transfer behavior of a tube bundle were also summarized and discussed.

show abstract

“…In this research the effect of Grashof and Reynolds numbers have been investigated. In a similar study, Yang et al [13] investigated preceding research in an inclined channel. The results showed the effect of inclination angle on the rate of heat transfer and average Nusselt number.…”

Section: Introductionmentioning

confidence: 98%