Complexity
Volume 2019 (2019), Article ID 5109152, 2 pages
https://doi.org/10.1155/2019/5109152

Corrigendum

Corrigendum to “Optimization of R245fa Flow Boiling Heat Transfer Prediction inside Horizontal Smooth Tubes Based on the GRNN Neural Network”

Meiling Liang,¹ Xiaohui Zhang,¹ Rong Zhao,¹ Xulin Wen,¹ Shan Qing,¹ and Aimin Zhang²

¹Faculty of Metallurgical and Energy Engineering, Kunming University of Science and Technology, Kunming, Yunnan, China
²Kunming Sino-Platinum Metals Catalyst Co. Ltd., Kunming, Yunnan, China

Correspondence should be addressed to Xiaohui Zhang; 13303510415@163.com

Received 3 December 2018; Accepted 11 December 2018; Published 3 February 2019

Copyright © 2019 Meiling Liang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

In the article titled “Optimization of R245fa Flow Boiling Heat Transfer Prediction inside Horizontal Smooth Tubes Based on the GRNN Neural Network,” [1], the authors detected some errors in the content of the article where the last sentence in Section , “Although the prediction error of the RBF network in the last section is increased, the GRNN network model has better generalization after training. The GRNN network forecast curve is shown in Figure ” should be updated to “So, the GRNN network model has good generalization after training. The GRNN network forecast curve is shown in Figure .”

In addition, the abscissa “h” should be changed to “x” in Figures , , and ; this error happened during the production process. Moreover, the “RBF” should be changed to “GRNN” in the legend of Figures and . Finally, in the Conclusion (3), the “R407C” should be changed to “R245fa”. The corrected Figures , , and are shown below:

Figure 5: When the evaporation temperature is 40°C, the heat transfer coefficient of R245fa changes with dryness and mass flux rate.

Figure 6: When the evaporation temperature is 50°C, the heat transfer coefficient of R245fa changes with quality of vapor-liquid mixture and mass flux rate.

Figure 7: When the evaporation temperature is 60°C, the heat transfer coefficient of R245fa changes with dry and mass flux rate.

References

Meiling Liang, Xiaohui Zhang, Rong Zhao, Xulin Wen, Shan Qing, and Aimin Zhang, “Optimization of R245fa Flow Boiling Heat Transfer Prediction inside Horizontal Smooth Tubes Based on the GRNN Neural Network,” Complexity, vol. 2018, Article ID 9318048, 9 pages, 2018.