Comparative analysis for the prediction of boiling heat transfer coefficient of R134a in micro/mini channels using artificial intelligence (AI)-based techniques-Reference-Cited by-同舟云学术

Comparative analysis for the prediction of boiling heat transfer coefficient of R134a in micro/mini channels using artificial intelligence (AI)-based techniques

Published:2019-01-17 Issue:2 Volume:40 Page:114-129
ISSN:0228-6203
Container-title:International Journal of Modelling and Simulation
language:en
Short-container-title:International Journal of Modelling and Simulation

Author:

Parveen Nusrat¹,Zaidi Sadaf¹,Danish Mohammad¹

Affiliation:

1. Department of Chemical Engineering, Z.H. College of Engineering and Technology, Aligarh Muslim University, Aligarh, India

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Mechanics of Materials,Modelling and Simulation,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/02286203.2018.1564809

Reference44 articles.

1. Experimental study on R-600a boiling in 2.6 mm tube

2. An experimental investigation on flow boiling heat transfer of R-600a in a horizontal small tube

3. Comparison of heat transfer coefficient during evaporation of natural refrigerants and R-1234yf in horizontal small tube

4. Examination of heat transfer correlations and a model for flow boiling of R134a in small diameter tubes

5. Flow boiling in a 1.1 mm tube with R134a: Experimental results and comparison with model

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