Simulation and experiment of a remotely operated underwater vehicle with cavitation jet technology

Hu, Jing-ke; Tong, Zheming; Xin, Jiage; Yang, Canjun

doi:10.1631/jzus.a1900356

Cited by 6 publications

(1 citation statement)

References 15 publications

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“…However, the fouling degree of the heating surface includes many factors, including the characteristics of nonlinearity and strong coupling. This is difficult to simulate with a precise physical model [12], so it is particularly important to establish an online monitoring model that uses thermal resistance to characterize the fouling degree of the heating surface. Through accurate online monitoring of the fouling level on a boiler's heating surface, soot blowing optimization can be implemented to improve the economy and efficiency of boiler operation.…”

Section: Introductionmentioning

confidence: 99%

Online Ash Fouling Prediction for Boiler Heating Surfaces based on Wavelet Analysis and Support Vector Regression

et al. 2019

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Depending on its operating conditions, traditional soot blowing is activated for a fixed time. However, low-frequency soot blowing can cause heat transfer efficiency to decrease. High-frequency soot blowing not only wastes high-pressure steam, but also abrades surface pipes, reducing the working life of a heat exchange device. Therefore, it is necessary to design an online ash fouling monitoring system to perform soot blowing that is dependent on the status of ash accumulation. This study presents an online monitoring model of ash-layer thermal resistance that reflects the degree of ash fouling. A wavelet threshold denoising algorithm was applied to smooth the thermal resistance of the ash layer calculated by the heat balance mechanism model. Thus, the variation in thermal resistance becomes more visible, which is more conducive to optimizing the operation of soot blowing. The designed Support Vector Regression (SVR) model could achieve the online prediction of thermal resistance denoising for low-temperature superheaters. Experimental analysis indicates that the prediction accuracy was 98.5% during the testing phase. By using the method proposed in this study, online monitoring of heating surfaces during the ash fouling process can be realized without adding complicated and expensive equipment.

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Section: Introductionmentioning

confidence: 99%

Online Ash Fouling Prediction for Boiler Heating Surfaces based on Wavelet Analysis and Support Vector Regression

et al. 2019

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Effects of Sleeve Parameters on Cavitation Control Performance in Steam Trap Valves

Qiu

Gao

Jin

et al. 2021

Journal of Fluids Engineering

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The steam trap valve is used in thermal power systems to pour out condensate water and keep steam inside. While flowing through steam trap valves, the condensate water can easily reach cavitation, which may cause serious damage to the piping system. In this paper, in order to control cavitation inside steam trap valves, effects of sleeve parameters, including orifice diameter, installation angle and thickness, are investigated using a cavitation model. The pressure, velocity and vapor distribution inside valves are analyzed and compared for different sleeve geometrical parameters. The total vapor volumes are also predicted and compared. The results show that the sleeve parameters have a significant influence on the cavitation intensity and cavitation vapor distributions. Specifically, the orifice diameter of the sleeve has much larger effect on each aspect than that of other two geometrical parameters of the sleeve. The improved geometrical parameters of the sleeve are determined to suppress the cavitation inside the valve. The sleeve with smaller diameter orifices, higher installation angle (maximum 80°) and higher thickness is recommended in practice for better anti-cavitation performance. The work is of significance for cavitation control and the optimization design of steam trap valves.

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Design and experiment of a carrying platform of underwater cleaning robot

Wang

Berdiev

et al. 2022

Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021)

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Simulation and experiment of a remotely operated underwater vehicle with cavitation jet technology

Cited by 6 publications

References 15 publications

Online Ash Fouling Prediction for Boiler Heating Surfaces based on Wavelet Analysis and Support Vector Regression

Online Ash Fouling Prediction for Boiler Heating Surfaces based on Wavelet Analysis and Support Vector Regression

Effects of Sleeve Parameters on Cavitation Control Performance in Steam Trap Valves

Design and experiment of a carrying platform of underwater cleaning robot

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