Performance predictions of laminar and turbulent heat transfer and fluid flow of heat exchangers having large tube-diameter and large tube-row by artificial neural networks

By Gongnan Xie, Bengt Sunden, Qiuwan Wang, Linghong Tang. 2009

83 citations recorded by the source corpus.

Subfields: Computational Mechanics, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/4912503e16401854087136013982e00c541d0016

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. M. Mohanraj
2. S. Jayaraj
3. C. Muraleedharan

In Mechanical Engineering

1. M. Mohanraj
2. S. Jayaraj
3. C. Muraleedharan

Citations in the corpus

• Applications of artificial neural networks for thermal analysis of heat exchangers – A review (2015, methodology): “[115] used a MLFFN to correlate Nu and f for three types of heat exchangers using plain, slit and fins with longitudinal delta-winglet vortex generators.”