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. 2024 Mar 22;14(1):6880.
doi: 10.1038/s41598-024-57174-z.

Experimental analysis and model prediction of elbow pipe's erosion in water-cooled radiator

Yongfei Wang  1 , Xiaofei Li  1 , Tong Wang  1 , Jian Zhang  1 , Longcheng Li  2 , Yu Zhang  3
Affiliations

Experimental analysis and model prediction of elbow pipe's erosion in water-cooled radiator

Yongfei Wang et al. Sci Rep. .

Abstract

The radiator with heat transfer capability is able to guarantee the stable operation of hydro generator set, while the long-term and continuous scouring on radiator pipes by cooling medium will lead to thinning or even perforation of pipe wall, which triggers wall failure. This paper analyzes and predicts the failure mechanism of radiator's pipe wall, and investigates the effects of water flow velocity, sand content and sand particle size on erosion damage of radiator pipe by establishing a test bench for pipe erosion. The results show that the increase of above parameters will lead to the increasing erosion rate, especially when the sand content is 1%, the velocity is 8 m/s and the sand particle size is 0.85 mm, the erosion damage will be particularly serious. Based on experimental data, BP and LSSVM models are employed to predict the pipe wall failure, and PSO algorithm is used to optimize the two models. The optimized PSO-BP has the highest accuracy with the mean absolute error (MAE) of 0.2070 and the mean absolute percentage error (MAPE) of 4.702%. The findings provide a reference for wall failure analysis of radiator, which is of great significance for unit's safe operation.

Keywords: Convolutional neural network machine learning; Single-span rotor bearing system; Spindle bending; Spindle crack.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Purple copper, drawer type radiator.
Figure 2
Figure 2
Schematic diagram of different parts of the test piece of bend.
Figure 3
Figure 3
Water-cooled radiator pipe erosion and wear test bench.
Figure 4
Figure 4
BP neural network structure diagram.
Figure 5
Figure 5
Variation of elbow erosion rate with time affected by different (a) sand contents, (b) flow rates and (c) sand particle sizes.
Figure 6
Figure 6
Surface morphology of elbow specimens at different positions of (a) 0°, (b) 30°, (c) 45°, (d) 60° and (e) 90°.
Figure 7
Figure 7
(a) Algorithmic logic, (b) fitness curves, and (c) mean square error for PSO-BP.
Figure 8
Figure 8
(a) Errors, (b) comparision of predicted values and tested values of erosion rate for BP and PSO-BP under the test set.
Figure 9
Figure 9
(a) Algorithmic logic, (b) fitness curves, and (c) comparison of predicted and true values of erosion rates for PSO-BP.
Figure 10
Figure 10
(a) Errors, (b) comparision of predicted values and tested values of erosion rate for LSSVM and PSO-LSSVM under the test set.
See this image and copyright information in PMC

References

    1. Dang DD, Pham XT, Labbe P, Torriano F, Morissette F, Hudon C. CFD analysis of turbulent convective heat transfer in a hydro-generator rotor-stator system. Appl. Therm. Eng. 2018;130:17–28. doi: 10.1016/j.applthermaleng.2017.11.034. - DOI
    1. Goričanec D, Pozeb V, Tomšič L, Trop P. Exploitation of the waste-heat from hydro power plants. Energy. 2014;77:220–225. doi: 10.1016/j.energy.2014.06.106. - DOI
    1. Milić SD, Žigić AD, Ponjavić MM. Online temperature monitoring, fault detection, and a novel heat run test of a water-cooled rotor of a hydrogenerator. IEEE Trans. Energy Convers. 2013;28(3):698–706. doi: 10.1109/TEC.2013.2265262. - DOI
    1. Frota M N, Hernández-Vásquez J, Castro-Pacheco E, Germano S, Jr J B. Enhancing the effectiveness of hydro generator heat exchangers through the control of measurement uncertainties. XIII Heat Exchanger Fouling and Cleaning Conference, Warsaw, Poland. (2019).
    1. Frota MN, Ticona EM, Neves AV, Marques RP, Braga SL, Valente G. On-line cleaning technique for mitigation of biofouling in heat exchangers: A case study of a hydroelectric power plant in Brazil. Exp. Therm. Fluid Sci. 2014;53:197–206. doi: 10.1016/j.expthermflusci.2013.12.006. - DOI