Affiliation:
1. Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences Beijing 100083 P. R. China
2. School of Nanoscience and Engineering University of Chinese Academy of Sciences Beijing 100049 P. R. China
3. Key Laboratory of Marine Environmental Corrosion and Bio‐fouling Institute of Oceanology Chinese Academy of Sciences Qingdao 266071 P. R. China
4. Hubei Key Laboratory of Automotive Power Train and Electronic Control School of Automotive Engineering Hubei University of Automotive Technology Shiyan 442002 P. R. China
5. College of Mechanical and Electrical Engineering China University of Petroleum Qingdao 266580 P. R. China
Abstract
AbstractAccurate measurement of complicated multiphase flow is crucial to the safety and efficiency of petroleum and chemical industrial facilities. However, the existing multiphase flow detection techniques are not applicable to pipelines in remote regions including deserts or deep seas, due to the high cost of providing a stable power supply. Herein, a self‐powered multiphase flow sensor, composed of a liquid‐driven triboelectric nanogenerator (TENG) ‐based signal generator, a ring‐type transmitter, and a string‐type receiver, is proposed. Theoretical modeling of displacement current between transmitter and receiver implies that the received current signal can accurately reflect the wetting state of the receiver, validated by a combined experimental (accuracy above 97%) and simulation study. Coupling with a quantitative analysis algorithm, a multiphase flow detection system with numerous receiver measurement points is developed to precisely monitor various flow parameters, including slug frequency (one point), slug length (two points), and flow pattern (four points), which is verified by spontaneous high‐speed camera recordings of water–air flow. The present work provides a paradigm‐shift way to develop a self‐powered, inexpensive, and accurate technique to detect multiphase flow at remote industrial facilities.
Funder
National Natural Science Foundation of China
Qingdao Postdoctoral Science Foundation
Key Project of Frontier Science Research of Chinese Academy of Sciences
Cited by
3 articles.
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