Keynote Lecture

Xiande Fang
Distinguished Professor
Nanjing University of Aeronautics and Astronautics (NUAA), China

Xiande Fang is a distinguished professor at Nanjing University of Aeronautics and Astronautics (NUAA), China. He received his Ph.D. in Engineering Thermophysics from University of Science and Technology of China, M. Sci. in Thermal Engineering from Tsinghua University, China, and B. Eng. in Altitude Equipment from NUAA. He is currently an Associate Editor, Aerospace Science and Technology (SCI indexed top journal), and the Editor-in-Chief, International Journal of Thermofluid Science and Technology. He worked as an associate researcher in USA for one year, and as a visiting professor and professional engineer in Canada over 5 years. In NUAA, he serves as the deputy director of Academic Committee of MIIT Key Laboratory of Aircraft Environment Control and Life Support and the director of Professional Committee of Building Environment and Energy Engineering and Aircraft Environment Control and Life Support Engineering. His research area is thermofluid science and technology and its applications to various industrial sectors. He has published over 200 papers and 4 books/book chapters, received 14 academic awards, and obtained 15 Chinese patents. He teaches thermofluid-related courses to international undergraduate, postgraduate, and doctoral students in China.

Lecture title:
Empirical Predictive Method for Two-Phase Flow Condensation Heat Transfer in Plain Channels

The heat transfer of gas-liquid two-phase flow condensation in plain channels is widely used in many industrial sectors, and thus it is important to predict accurately the heat transfer coefficient (HTC). Flow condensation HTCs are affected by various parameters, making it a challenge for decades to develop an accurate correlation with a wide application range. The present study presents a systematical review of the experimental studies and empirical predictive methods of flow condensation heat transfer in plain channels. A database containing 5591 experimental data points of flow condensation HTCs were compiled from 33 data sources, covering 27 fluids and wide parameter ranges. The available existing HTC correlations of flow condensation heat transfer in plain channels were evaluated and analyzed against the database to find the clues for developing a new correlation. A systematical methodology to develop an empirical HTC correlation for gas-liquid two-phase flow condensation in plain channels was proposed. Based on the database and the methodology, a new empirical HTC correlation for flow condensation in plain channels is developed, which has a high predictive accuracy for a wide parameter range.