Experimental study on turbulent drag reduction (DR) and polymer concentration distribution with blowing polymer solution from whole surface of the channel wall was carried out. A set of measurements for drag reduction were performed with blowing rate for the sintered porous metal plate (0.45m × 0.45m × 3) adjusted from 0.5 L/min to 4.0 L/min, and concentration of polymer solution varied from 10 ppm to 200 ppm. Reynolds number based on the channel height was chosen for 20000 and 40000 in this experiment. The polymer concentration distribution in the near-wall region (0.5 mm < y < 20 mm) at three locations of the downstream from the leading edge of the blower wall was also measured. Polymer concentration can be analyzed via Total Organic Carbon (TOC) analyzer. Through the analysis of mass transfer by polymer concentration distribution, we found that polymer which exists in buffer layer (10 < y+ < 70) has important influence on drag reduction.
Skip Nav Destination
2010 14th International Heat Transfer Conference
August 8–13, 2010
Washington, DC, USA
Conference Sponsors:
- Heat Transfer Division
ISBN:
978-0-7918-4937-8
PROCEEDINGS PAPER
Experimental Study on Turbulent Drag Reduction and Polymer Concentration Distribution With Blowing Polymer Solution From the Channel Wall
Masaaki Motozawa,
Masaaki Motozawa
Tokyo University of Science, Noda, Chiba, Japan
Search for other works by this author on:
Taiki Kurosawa,
Taiki Kurosawa
Tokyo University of Science, Noda, Chiba, Japan
Search for other works by this author on:
Hening Xu,
Hening Xu
Tokyo University of Science, Noda, Chiba, Japan; China University of Petroleum-Beijing, Beijing, China
Search for other works by this author on:
Kaoru Iwamoto,
Kaoru Iwamoto
Tokyo University of Agriculture and Technology, Koganei, Tokyo, Japan
Search for other works by this author on:
Hirotomo Ando,
Hirotomo Ando
National Maritime Research Institute, Mitaka, Tokyo, Japan
Search for other works by this author on:
Tetsuya Senda,
Tetsuya Senda
National Maritime Research Institute, Mitaka, Tokyo, Japan
Search for other works by this author on:
Yasuo Kawaguchi
Yasuo Kawaguchi
Tokyo University of Science, Noda, Chiba, Japan
Search for other works by this author on:
Masaaki Motozawa
Tokyo University of Science, Noda, Chiba, Japan
Taiki Kurosawa
Tokyo University of Science, Noda, Chiba, Japan
Hening Xu
Tokyo University of Science, Noda, Chiba, Japan; China University of Petroleum-Beijing, Beijing, China
Kaoru Iwamoto
Tokyo University of Agriculture and Technology, Koganei, Tokyo, Japan
Hirotomo Ando
National Maritime Research Institute, Mitaka, Tokyo, Japan
Tetsuya Senda
National Maritime Research Institute, Mitaka, Tokyo, Japan
Yasuo Kawaguchi
Tokyo University of Science, Noda, Chiba, Japan
Paper No:
IHTC14-23199, pp. 797-805; 9 pages
Published Online:
March 1, 2011
Citation
Motozawa, M, Kurosawa, T, Xu, H, Iwamoto, K, Ando, H, Senda, T, & Kawaguchi, Y. "Experimental Study on Turbulent Drag Reduction and Polymer Concentration Distribution With Blowing Polymer Solution From the Channel Wall." Proceedings of the 2010 14th International Heat Transfer Conference. 2010 14th International Heat Transfer Conference, Volume 2. Washington, DC, USA. August 8–13, 2010. pp. 797-805. ASME. https://doi.org/10.1115/IHTC14-23199
Download citation file:
11
Views
Related Proceedings Papers
Related Articles
A Study of the Effect of Polymer Solution in Promoting Friction
Reduction in Turbulent Channel Flow
J. Fluids Eng (April,2007)
The Effects of Polymer Solution Preparation and Injection on Drag Reduction
J. Fluids Eng (May,2005)
Drag Reducing Flows by Polymer Solutions in Annular Spaces
J. Fluids Eng (May,2018)
Related Chapters
Research and Implementation of LCD Driver Based on Embedded Linux
International Conference on Information Technology and Computer Science, 3rd (ITCS 2011)
A New Concept for Concurrent Multipath Transfer in Wireless Network Connectivity
International Conference on Computer and Electrical Engineering 4th (ICCEE 2011)
Computing Algorithmic Complexity Using Advance Sampling Technique
Intelligent Engineering Systems through Artificial Neural Networks Volume 18