✦ LIBER ✦

Numerical prediction of frost formation on cooled heat exchangers

✍ Scribed by S.M. Sami; T. Duong

Publisher: Elsevier Science
Year: 1988
Tongue: English
Weight: 421 KB
Volume: 15
Category: Article
ISSN: 0735-1933
DOI: 10.1016/0735-1933(88)90009-7

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Prediction of an effective cooling outpu

Prediction of an effective cooling output of the fin-and-tube heat exchanger under frosting conditions

✍ Kristian Lenic; Anica Trp; Bernard Frankovic 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 458 KB

Heat transfer and frost formation inside

Heat transfer and frost formation inside a liquid nitrogen-cooled tube

✍ R. C. Reid; P. L. T. Brian; M. E. Weber 📂 Article 📅 1966 🏛 American Institute of Chemical Engineers 🌐 English ⚖ 665 KB

Transient two-dimensional model of frost

Transient two-dimensional model of frost formation on a fin-and-tube heat exchanger

✍ Kristian Lenic; Anica Trp; Bernard Frankovic 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 562 KB

Effect of frost growth on the performanc

Effect of frost growth on the performance of louvered finned tube heat exchangers

✍ S.N Kondepudi; D.L O'Neal 📂 Article 📅 1989 🏛 Elsevier Science 🌐 English ⚖ 806 KB

Numerical analysis on longitudinal locat

Numerical analysis on longitudinal location optimization of vortex generator in compact heat exchangers

✍ M. Gorji; H. Mirgolbabaei; A. Barari; G. Domairry; N. Nadim 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 208 KB

Numerical investigation on the use of na

Numerical investigation on the use of nanofluids in natural convection heat exchangers using a mixture-phase approach

✍ Amir Asgary Tahery; Aydin Zehforoosh; S. M. Pesteei 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 485 KB

## Abstract In the present research, the behavior of a Newtonian nanofluid (water–Al~2~O~3~) in a mixture phase model approach is numerically examined. The process of heating is done in two different ways. Deterioration was found in the mean Nusselt number of a nanofluid in the mixture‐phase model