Numerical study of inlet Reynolds number in fine particles deposition processes in a flue gas turbine

Pan, Jingna; Wang, Jianjun; Chen, Shuaifu; Zhang, Xiaoxiao; Liu, Shuai

doi:10.1016/j.powtec.2018.08.032

Cited by 10 publications

(12 citation statements)

References 26 publications

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“…According to the Chinese HG/T3650-2012 standard, the dust concentration of the flue gas entering the flue gas turbine is less than 200 mg/Nm 3 , with catalyst particles larger than 10 μm in the flue gas accounting for less than 3% and the particle size of the majority of the particles being less than 3 μm. 1,15 The main components of the catalyst particles were discovered to be silicon dioxide and aluminum trioxide from our test results and some literature. 16,17 Therefore, the properties of the particles in this paper are set according to SiO 2 , and the specific parameters of the particles are shown in Table 1.…”

Section: Numerical Models and Boundary Conditionsmentioning

confidence: 80%

“…Furthermore, the particle size distribution obtained through on-site dynamic sampling was employed. 1 The minimum particle size is 0.375 μm, the maximum particle size is 10.78 μm, and the average particle size is 1.55 μm. The concentration of catalyst particles is 0.002 kg/s.…”

Section: Numerical Models and Boundary Conditionsmentioning

confidence: 95%

“…Considering most large particles are filtered by the tertiary cyclone separator, the particle size distribution obtained from the test also indirectly confirmed that the catalyst particles entering the flue gas turbine cascade is basically within 10 μm. 1,15 In addition, in order to obtain the chemical composition of catalyst particles, X'pert PRO XRD from PANalytical B.V. in Netherlands is used to analyze the sampled particles. From Figure 2(b), we can see that the main components of catalyst particles are SiO 2 , Al 2 O 3 and CaSiO 3 .…”

Section: Test Of Particle Physicochemical Propertiesmentioning

confidence: 99%

See 2 more Smart Citations

Numerical analysis of catalyst particle deposition characteristics in a flue gas turbine with an improved particle motion and deposition model

Cai

Yao

Hou

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part A:

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To more accurately understand and predict the deposition behavior of catalyst particles in the flue gas turbine cascade, test and numerical combined study is performed in this paper. Based on the systematic analysis of the deposition process and physical mechanism of the catalyst particles, the traditional DRW model, critical velocity particle deposition model and removal model were corrected with the user defined function custom function and validated with the actual deposition morphology. On this basis, the effects of the particle Stokes number and flue gas parameters on the particle deposition characteristics of the flue gas turbine cascade were detailed investigated. The results show that the revised DRW model, critical velocity and removal model can more accurately predict the deposition location and deposition rate of particles in the turbine cascade. With the increase in the Stokes number of particles, the average particle impact rate on the blade surface gradually increased, while the average deposition rate showed a trend of first increasing and then decreasing. The average deposition rate of particles in the rotor blade surface is roughly twice as high as that in the stator surface. With the increase of the flue gas expansion ratio, the deposition rate of particles less than 3 μm gradually increases, while the deposition rate of particles greater than 3 μm tends to decrease. In addition, the change in the flue gas expansion ratio has no obvious effect on the particle deposition distribution in different size ranges.

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Section: Numerical Models and Boundary Conditionsmentioning

confidence: 80%

Section: Numerical Models and Boundary Conditionsmentioning

confidence: 95%

Section: Test Of Particle Physicochemical Propertiesmentioning

confidence: 99%

See 1 more Smart Citation

Numerical analysis of catalyst particle deposition characteristics in a flue gas turbine with an improved particle motion and deposition model

Cai

Yao

Hou

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part A:

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“…Gas turbines generally operate at a high speed of 6000-7000 r/min at 600-700 • C and approximately 0.2 MPa for an extended period of time. Given poor catalyst separation effect, a considerable number of catalyst particles become attached to the fume [4], thereby causing serious erosion of the rotor blades [5][6][7]. The erosion wear of gas turbine blades is a typical gas-solid erosion wear [8].…”

Section: Introductionmentioning

confidence: 99%

Simulation Study on the Effect of Flue Gas on Flow Field and Rotor Stress in Gas Turbines

et al. 2021

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A flue gas turbine is the main energy recovery equipment in a heavy oil catalytic cracking unit. Blade erosion and fracture are the main reasons for gas turbine failure. In this study, the characteristics of the flow field and rotor stress in the gas turbine under different fume volumes are simulated and analyzed by simulation software (ANSYS). The influences of fume volume on the high-temperature fume flow field, temperature, velocity, catalyst particle movement rotor stress in the gas turbine, as well as the influence law of flue gas flow on temperature gradient, pressure gradient, velocity distribution, and the main position of blade erosion were studied. The stress distribution and maximum stress position of the impeller were also determined. It was found that the variation trends of the pressure gradient in the calculation domain of the gas turbine under different fume volumes are similar. The pressure on the working face of the rotor blade decreases gradually along the flow direction of the high-temperature fume. The highest pressure appears near the sharp corner with the large radius of the front edge of the rotor blade. The variation of the fume flow rate has little influence on the temperature field of the entire machine. The erosion wear of the rotor blade mainly occurs in the leading edge and tail. The maximum stress point of the blade is located at the large fillet of the first pair of tenon teeth. The maximum stress point of the disc is located at the large fillet of the third pair of tenon teeth. It is believed that these research results have reference help for analyzing the typical failure causes of flue gas turbine, optimizing the actual operating conditions and the reconstruction design of flue gas turbine.

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“…They showed that high blockage ratio deteriorated the lateral film-cooling effectiveness. Pan et al [16] numerically investigated the deposition rate at different inlet Reynolds numbers using the discrete particle model (DPM) to track the trajectories of fine particles. They found that increasing the inlet Reynolds number resulted in a region extension of the maximum deposition rate on the rotating blade.…”

Section: Introductionmentioning

confidence: 99%

Numerical investigation of particle deposition in film-cooled blade leading edge

Wang

Tian

Zhu

et al. 2020

Numerical Heat Transfer, Part A: Applications

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This study numerically investigates film-cooling performance and particle trajectories in AGTB (two rows of cylindrical holes equipped on suction side (SS) and pressure side (PS) of the leading edge, respectively) turbine cascade. Particle deposition on a turbine blade is analyzed by calculations of capture efficiency and impact efficiency. The turbulent flow is modeled by the Realizable k-e turbulence model, and the discrete phase model (DPM) with user-defined functions (UDFs) is used to simulate the particle motions. An invasion efficiency is proposed to analyze the possibility of particle invasion into the film hole. Comparisons of various particles with diameters of 1 mm, 5 mm, 10 mm, 20 mm, and 50 mm, respectively, are conducted for four blowing ratios (0.53, 0.93, 1.31, 1.63) and three inlet flow angles (123 , 133 , and 143). It is observed that with a small inlet flow angle and a large blowing ratio, the capture efficiency on the PS decreases. It is found that smaller particle size results in lower invasion efficiency, and larger particles are more likely to invade into the film-cooling hole especially at a low blowing ratio.

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Numerical study of inlet Reynolds number in fine particles deposition processes in a flue gas turbine

Cited by 10 publications

References 26 publications

Numerical analysis of catalyst particle deposition characteristics in a flue gas turbine with an improved particle motion and deposition model

Numerical analysis of catalyst particle deposition characteristics in a flue gas turbine with an improved particle motion and deposition model

Simulation Study on the Effect of Flue Gas on Flow Field and Rotor Stress in Gas Turbines

Numerical investigation of particle deposition in film-cooled blade leading edge

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