Dong Fang

Dong Fang

Dong Fang, female, CPC member, graduated from school of electrical and automation engineering, Tianjin University in 2007 with a master's degree in engineering.

Character experience

1999.09-2003.07 College of automation, Hebei University of science and technology: Bachelor of Engineering in automation. 2004.09-2007.03 majoring in automation college of Tianjin University: Master of engineering degree in detection and automation device.
From July 2007 to present, he teaches in the College of quality and technical supervision of Hebei University.

Lecture course

He mainly taught the courses of measurement and control circuit, signal analysis and processing, precision measurement and control system, etc.

Research direction

The main research direction is multiphase flow detection and modern information processing technology.

Main contributions

Main papers: < br > complexity measurement analysis and flow pattern characterization of conductance fluctuation signals in gas-liquid two-phase flow, Acta physica Sinica, Vol. 56, No. 2, 2007, SCI key No.: 133bm.
Multi scale recursive quantitative analysis of two-phase flow regime dynamics, Acta physica Sinica, Vol.57, No.10, 2008, SCI key No.: 361rh.
Experimental study on index detection method of ultraviolet fluorescence SO2 automatic monitor, Journal of Hebei University, Vol. 29, No. 6, 2009.
Scientific research projects: Project Director, youth fund of Hebei University, nonlinear analysis of gas-liquid two-phase flow characteristics.
Shen Yan, natural science foundation of Hebei Province, quantitative measurement and mechanism of entrainment force of gas-liquid two-phase flow perpendicular to horizontal flow direction.
Participated in the research, National Natural Science Foundation of China, quantitative measurement and mechanism research of interphase force of gas-liquid two-phase flow perpendicular to horizontal flow direction.
Participate in research, National Natural Science Foundation of China, research on Measurement Uncertainty Evaluation Based on laser online detection system.
Study on near infrared nondestructive identification of strawberry varieties.

Chinese PinYin : Dong Fang