Boiling Curve Measurement of Water Containing Dissolved Carbon Dioxide Around a Heated Wire

Author(s):  
Ali Heydari ◽  
V. P. Carey

Abstract Proper thermal treatment of metals in metal processing plants is important both in terms of quality and economy of the final product. Addition of a highly soluble gas such as carbon dioxide to water has been shown to create an excellent quenching medium for metal objects in metal working processes. It causes slower rate of cooling due to the insulating effect of carbon dioxide on the surface of immersed metal objects which as a result hinders residual stress build up and warpage commonly observed in quenching metal objects in cold water. Additionally, absence of carbon dioxide-filled bubbles on the surface of quenching metal object causes cold water-like cooling of the surface, producing rapid cooling of the objects. In this study, boiling heat transfer characteristics of an electrically heated wire immersed in water mixed with different concentrations of carbon dioxide at various atmospheric and sub-atmospheric pressures are obtained and compared. The results indicate that the boiling behavior and heat transfer characteristics of carbon dioxide-water solution make it a favorable substitute to cold and hot water traditionally used as the heat transfer fluid in metal processing plants.

2011 ◽  
Vol 422 ◽  
pp. 762-766
Author(s):  
Shao Feng Yan ◽  
Xiu Juan Bian ◽  
Bo Yuan Sui

Heat exchanger of Sleeve type was used in the experiment with water for working medium, hot water inside of tube, cold water outside of tube, For ring gap of 0.50mm~2.50mm, Reynolds number range in 7000, the heat transfer characteristics of the fluid of narrow annular channel was made by doing experiments and study. According to the result of the experiment, heat transfer coefficient and Reynolds number of function relation curves of Re-and Re-K are made. It was found that narrow ring channel has the remarkable strengthening effect with compact structure. Decreasing of the narrow gap dimension, the heat transfer coefficient increases.


2018 ◽  
Vol 63 (11) ◽  
pp. 1062-1070
Author(s):  
Xiaoyan Liu ◽  
Hui Jiang ◽  
Fanbin Meng ◽  
Zhenyu Lu ◽  
Yang Liu ◽  
...  

2019 ◽  
Vol 158 ◽  
pp. 113786 ◽  
Author(s):  
Weikai Gao ◽  
Jiaqing Zhao ◽  
Xiaowei Li ◽  
Houjian Zhao ◽  
Yiyang Zhang ◽  
...  

Author(s):  
Sandeep R. Pidaparti ◽  
Jacob A. McFarland ◽  
Mark M. Mikhaeil ◽  
Mark H. Anderson ◽  
Devesh Ranjan

Experiments were performed to investigate the effects of buoyancy on heat transfer characteristics of supercritical carbon dioxide in heating mode. Turbulent flows with Reynolds numbers up to 60,000, at operating pressures of 7.5, 8.1, and 10.2 MPa, were tested in a round tube. Local heat transfer coefficients were obtained from measured wall temperatures over a large set of experimental parameters that varied inlet temperature from 20 to 55°C, mass flux from 150 to 350  kg/m2s, and a maximum heat flux of 65  kW/m2. Horizontal, upward, and downward flows were tested to investigate the unusual heat transfer characteristics due to the effect of buoyancy and flow acceleration caused by large variation in density. In the case of upward flow, severe localized deterioration in heat transfer was observed due to reduction in the turbulent shear stress and is characterized by a sharp increase in wall temperature. In the case of downward flow, turbulent shear stress is enhanced by buoyancy forces, leading to an enhancement in heat transfer. In the case of horizontal flow, flow stratification occurred, leading to a circumferential variation in wall temperature. Thermocouples mounted 180° apart on the tube revealed that the wall temperatures on the top side are significantly higher than the bottom side of the tube. Buoyancy factor calculations for all the test cases indicated that buoyancy effects cannot be ignored even for horizontal flow at Reynolds numbers as high as 20,000. Experimentally determined Nusselt numbers are compared to existing correlations available in the literature. Existing correlations predicted the experimental data within ±30%, with maximum deviation around the pseudocritical point.


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