In this study, a novel measurement framework for two-phase air-water bubbly flow has been developed. It consists of ultrasonic and digital optical imaging systems. The measured parameters include instantaneous velocity profiles of the two phases, void fraction and bubble size of the gas phase. The simultaneous velocity profiles of both phases are measured by the state-of-the-art multiwave Ultrasonic Velocity Profile method -multiwave UVP for short. The void fraction and bubble size are measured by a digital imaging system that exploits high-speed video imaging. Non-intrusive measurement of these instantaneous flow parameters is still a challenge in two-phase flow study. In the present investigation, two ultrasonic signal processing algorithms have been implemented and tested, namely Doppler signal processing and correlation one. Similarly, rigorous digital image processing algorithms implemented in ImageJ tool have been exploited and tested to obtain the average void fraction and bubble size distribution. Furthermore, measurements and analyses have been carried out for various flow conditions. For the particular flow configuration investigated, important experimental data of the two-phase counter-current bubbly flow have been successfully obtained for the first time. The measured data are useful for both experimental and numerical analyses, especially computational fluid dynamics - CFD analyses, of two-phase flows.
Bài báo quốc tế
Kho tri thức
/
Bài báo quốc tế
/
Measurement of Bubbly Two-Phase Flow in a Vertical Pipe Using Ultrasonic Velocity Profiler and Digital Optical Imaging
Measurement of Bubbly Two-Phase Flow in a Vertical Pipe Using Ultrasonic Velocity Profiler and Digital Optical Imaging
Nguyễn Tất Thắng
Xuất bản trên:
Ngày đăng:
2023
Nhà xuất bản:
Hermes Science Publishing Ltd
Địa điểm:
Từ khoá:
liquid velocity, bubble velocity, void fraction, bubble size, bubbly flow measurement, ultrasonic velocity profiling, ultrasonic doppler velocimetry, image processing
Bài báo liên quan
Sign Language Recognition With Self-Learning Fusion Model
Vũ Hoài Nam, Phạm Văn Cường, Hoàng Mậu Trung, Trần Tiến CôngPerson re-identification from multiple surveillance cameras combining face and body feature matching
Nguyen Xuan Ha, Hoang Nhu Dong, Nguyen V Thang, Pham D An, Nguyen Duc Toan, Đặng Minh TuấnPerformance Analysis of AV1 video codec
Nguyễn Thị Thu Hiên, Lê Thanh ThủyLearning Binary Codes for Fast Image Retrieval with Sparse Discriminant Analysis and Deep Autoencoders
Đào Thị Thúy Quỳnh, An Hồng Sơn, Nguyễn Hữu Quỳnh, Cù Việt Dũng, Ngô Quốc TạoLearning Adaptive Motion Search for Fast Versatile Video Coding in Visual Surveillance Systems
Hoàng Văn Xiêm, Nguyễn Quang Sang, Bùi Thanh Hương, Vũ Hữu TiếnInformation extraction from Visually Rich Documents using graph convolutional network
Trịnh Thịnh, Nguyễn Trọng KhánhHand gesture recognition from wrist-worn camera for human-machine interaction
Nguyễn Hồng Quân, Lê Trung Hiếu, Trần Trung Kiên, Hoàng Nhật Tân, Trần Thị Thanh Hải, Lê Thị Lan, Vũ Hải, Nguyễn Thanh Phương, Nguyễn Hữu Thanh, Phạm Văn Cường