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...
محفوظ في:
المؤلفون الرئيسيون: | Mohd. Yunos, Yushazaziah, Mohd. Ghazali, Normah, Mohamad, Maziah, Pamitran, Agus Sunjarianto, Oh, Jong Taek |
---|---|
التنسيق: | مقال |
منشور في: |
Springer-Verlag GmbH Germany
2020
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://eprints.utm.my/id/eprint/93488/ http://dx.doi.org/10.1007/s00231-019-02776-x |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Prediction of the heat transfer coefficient in a small channel with the superposition and asymptotic correlations
بواسطة: Mohd. Yunos, Yushazaziah, وآخرون
منشور في: (2018) -
An optimization approach in the development of a new correlation for two-phase heat transfer coefficient of R744 in a microchannel
بواسطة: Wan Zaidi, Wan Muhammad Zaid, وآخرون
منشور في: (2022) -
Effects of two-phase flow friction factor correlations on the optimal pressure drop-martinelli parameter pair in a mini-channel
بواسطة: Mohd. Ghazali, Normah, وآخرون
منشور في: (2014) -
Two-phase heat transfer microchannel system identification with particle swarm optimization (PSO) approach.
بواسطة: Mohd. Yatim, Hanim, وآخرون
منشور في: (2023) -
Improvement of small channel heat transfer correlation using genetic algorithm for R290 refrigerant
بواسطة: Mohd. Yunos, Yushazaziah
منشور في: (2021)