Improvement of two-phase heat transfer correlation superposition type for propane by genetic algorithm
The prediction accuracies of the two-phase heat transfer coefficient for the flow in a small channel, which are usually based on the mean absolute error (MAE) between the correlation and experimental data, have remained unsatisfactory. Conventionally, the regression method has been used to determine...
Saved in:
Main Authors: | Mohd. Yunos, Yushazaziah, Mohd. Ghazali, Normah, Mohamad, Maziah, Pamitran, Agus Sunjarianto, Oh, Jong Taek |
---|---|
Format: | Article |
Published: |
Springer-Verlag GmbH Germany
2020
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/93488/ http://dx.doi.org/10.1007/s00231-019-02776-x |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Prediction of the heat transfer coefficient in a small channel with the superposition and asymptotic correlations
by: Mohd. Yunos, Yushazaziah, et al.
Published: (2018) -
An optimization approach in the development of a new correlation for two-phase heat transfer coefficient of R744 in a microchannel
by: Wan Zaidi, Wan Muhammad Zaid, et al.
Published: (2022) -
Effects of two-phase flow friction factor correlations on the optimal pressure drop-martinelli parameter pair in a mini-channel
by: Mohd. Ghazali, Normah, et al.
Published: (2014) -
Two-phase heat transfer microchannel system identification with particle swarm optimization (PSO) approach.
by: Mohd. Yatim, Hanim, et al.
Published: (2023) -
Improvement of small channel heat transfer correlation using genetic algorithm for R290 refrigerant
by: Mohd. Yunos, Yushazaziah
Published: (2021)