Dongdong Zhou  Associate Professor

Ph.D., assistant professor, graduate supervisor. Received a B.S. degree majoring in Metallurgy Engineering from Kunming University of Science and Technology in 2008, then obtained a Ph.D degree in Metallurgy Engineering in the School of Metallurgical and Ecological Engineering from University of Science and Technology Beijing in 2018.

【Research Projects】

1. Fundamental Research Funds for the Central Universities, Online Strip Surface Inspection and Quality Rating Based on Deep Learning, 2020.05-2021.04, PI

2. Open Fund Project of Zhongguancun Open Laboratory of Photoelectric Measurement and Intelligent Perception, ***** Method, 2023.01-2024.12, PI

3. Fundamental Research Funds for the Central Universities, Research on Temperature Detection of Casting Billet Surface Based on Emissivity Correction and Deep Learning, 2022.11-2024.11, PI

4. Jianlong Iron & Steel Holdings Co., Ltd., Intelligent Forecasting and Optimization of Blast Furnace Condition Integrating Online Monitoring of Tuyere Temperature and Big Data, 2022.09-2023.08, PI

5. National Key R&D Program, Development and Integration of Online Monitoring System for Surface Quality of High-temperature Moving Casting Billets Based on Multispectral Image Sensors, 2021.11-2024.10, Task Leader

6. Key Project of Beijing Science and Technology Plan, Development and Integrated Application of Surface Online Detection Instrument with Multispectral and Multi-information Fusion, 2022.12-2025.12, Task Leader

7. Ministry of Industry and Information Technology, Intelligent Manufacturing Comprehensive Standardization and New Model Application Project, New Carbon Material Whole Process Quality Intelligent Control System, 2018.08-2020.12, Key Member

8. Ministry of Industry and Information Technology, Intelligent Manufacturing Comprehensive Standardization and New Model Application Project, Application of New Model of Intelligent Manufacturing in the Whole Process of High-end Wire Rod, 2016.01-2019.06, Key Member

9. National Natural Science Foundation of China, General Project, 61571040, Research on Rapid Detection System of Pig Iron and Silicon Content in Blast Furnace Based on LIBS Technology, 2016.01-2019.12, Task Leader

10. National Natural Science Foundation of China, General Project, 61271303, Reconstruction of Blast Furnace Combustion Zone Temperature Field and Furnace Cylinder Working Uniformity Evaluation System, 2013.01-2016.12, Task Leader

11. Qingdao Special Iron & Steel Co., Ltd., Online Wire Rod Surface Temperature Detection System, 2022.07-2023.07, Task Leader

【Publications】

1. Zhou Dongdong, Xu Ke, Bai Jinyong, et al. On-line detecting the tuyere coke size and temperature distribution of raceway zone in a working blast furnace[J]. Fuel, 2022, 316:123349.

2. Zhou Dongdong, Xu Ke. Surface Quality Evaluation of Heavy and Medium Plate Using an Analytic Hierarchy Process Based on Defects Online Detection[J]. ISIJ INTERNATIONAL, 2022, 7.

3. Zhou Dongdong, Xu Ke. Study of Surface Temperature Distribution for High-Temperature U75V Rail Steel Plates in Rolling Process by Colorimetry Thermometry[J]. METALS, 2022, 5.

4 Zhou Dongdong, Xu Ke. Intelligent Manufacturing Technology in the Steel Industry of China: A Review[J]. SENSORS, 2022, 11.

5. Zhou Dongdong, Cheng Shusen. Measurement Study of the PCI Process on the Temperature Distribution in Raceway Zone of Blast Furnace by Using Digital Imaging Techniques[J], Energy, 2019, 174(1): 814-822.

6. Zhou Dongdong, Xu Ke. The production of large blast furnaces of China in 2018 and thoughts of intelligent manufacturing in the ironmaking process[J], Ironmaking and Steelmaking, 2020, 47(6): 650-654.

7. Zhou Dongdong, Cheng Shusen. Study of the combustion behaviour and temperature of pulverised coal in a tuyere zone of blast furnace[J], Ironmaking and Steelmaking, 2018, 45(7): 665-671.

8. Zhou Dongdong, Cheng Shusen. Uniformity and Activity of Blast Furnace Hearth by Monitoring Flame Temperature of Raceway Zone[J], ISIJ International, 2017, 57(9): 1509-1516.

9. Zhou Dongdong, Xu Ke. On-line Detection Technology by Machine Vision and Its Application in the Manufacturing Industry，Metallurgical Industry Press，2023.