Optimal design of a pipe isolation plugging tool using a computational fluid dynamics simulation with response surface methodology and a modified genetic algorithm

Hong, Zhonghua; Hu, Haoran

doi:10.1177/1687814017715563

Cited by 14 publications

(6 citation statements)

References 31 publications

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“…This enhanced the contact area between the gas and liquid in the middle and upper regions. However, in the conical region, increasing the volume fraction enhanced the bubble coalescence and accordingly decreased the gas holdup owing to the small cross-sectional area compared to the middle and upper regions, as was also observed by other reporters [39].…”

Section: (D) Effect Of Mixing Particle Diameter On Solid Volume Fractionsupporting

confidence: 66%

“…Based on the RSM responses, a polynomial equation (second order) in terms of dependent and significant independent coded variables for the three regions is given by Equations ( 12)-( 14 Table 3 and Table S1 show the results obtained from the regression model for the solid mass concentration in the middle and upper regions, respectively. The p-values were low (<0.05) for most of the interactions, which is an indication of the high significance of the model as reported by others [38][39][40]. Moreover, the regression model had a high value of R2, which was 99.68% for the middle region and 98.50% for the upper region.…”

Section: Influences Of Factors On the Mass Concentration Of Mixing Pa...mentioning

confidence: 63%

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Comprehensive Optimization of the Dispersion of Mixing Particles in an Inert-Particle Spouted-Bed Reactor (IPSBR) System

et al. 2021

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Effective gas dispersion and liquid mixing are significant parameters in the design of an inert-particle spouted-bed reactor (IPSBR) system. Solid particles can be used to ensure good mixing and an efficient rate of mass and heat transfer between the gas and liquid. In this study, computational fluid dynamics (CFD) coupled with the discrete phase model (DPM) were developed to investigate the effect of the feed gas velocity (0.5–1.5 m/s), orifice diameter (0.001–0.005 m), gas head (0.15–0.35 m), particle diameter (0.009–0.0225 m), and mixing-particle-to-reactor-volume fraction (2.0–10.0 vol.%) on the solid mass concentration, average solid velocity, and average solid volume fraction in the upper, middle, and conical regions of the reactor. Statistical analysis was performed using a second-order response surface methodology (RSM) with central composite design (CCD) to obtain the optimal operating conditions. Selected parameters were optimized to maximize the responses in the middle and upper regions, and minimize them in the conical region. Such conditions produced a high interfacial area and fewer dead zones owing to good particle dispersion. The optimal process variables were feed gas velocity of 1.5 m/s, orifice diameter of 0.001 m, gas head of 0.2025 m, a particle diameter of 0.01 m, and a particle load of 0.02 kg. The minimum average air velocity and maximum air volume fraction were observed under the same operating conditions. This confirmed the novelty of the reactor, which could work at a high feed gas velocity while maintaining a high residence time and gas volume fraction.

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Section: (D) Effect Of Mixing Particle Diameter On Solid Volume Fractionsupporting

confidence: 66%

Section: Influences Of Factors On the Mass Concentration Of Mixing Pa...mentioning

confidence: 63%

Comprehensive Optimization of the Dispersion of Mixing Particles in an Inert-Particle Spouted-Bed Reactor (IPSBR) System

et al. 2021

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“…Results obtained with the model are significant if their p -value is less than 0.05. Results with p -values greater than 0.05 are considered statistically insignificant at the 95% confidence level [ 43 , 44 ].…”

Section: Resultsmentioning

confidence: 99%

CFD and statistical approach to optimize the average air velocity and air volume fraction in an inert-particles spouted-bed reactor (IPSBR) system

Mohammad

Mourad

Al‐Marzouqi

et al. 2021

Heliyon

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Inert-particles spouted bed reactor (IPSBR) is characterized by intense mixing generated by the circular motion of the inert particles. The operating parameters play an important role in the performance of the IPSBR system, and therefore, parameter optimization is critical for the design and scale-up of this gas–liquid contact system. Computational fluid dynamics (CFD) provides detailed modeling of the system hydrodynamics, enabling the determination of the operating conditions that optimize the performance of this contact system. The present work optimizes the main IPSBR operating parameters, which include a feed-gas velocity in the range 0.5–1.5 m/s, orifice diameter in the range 0.001–0.005 m, gas head in the range 0.15–0.35 m, mixing-particle diameter in the range 0.009–0.0225 m, and mixing-particle to reactor volume fraction in the range 2.0–10.0 vol % (which represents 0.01–0.1 kg of mixing particles loading). The effects of these parameters on the average air velocity and average air volume fraction in the upper, middle, and conical regions of the reactor were studied. The specific distance for each region has been measured from the orifice point to be 50 mm for the conical region, 350 mm for the middle region and 550 mm for the upper rejoin. The selected factors were optimized to obtain the minimum air velocity distribution (maximum gas residence time) and the maximum air volume fraction (maximum interfacial area concentration) because these conditions will increase the gas holdup, the gas–liquid contact area, and the mass transfer coefficient among phases. Response surface methodology (RSM) was used to determine the optimum operating conditions. The regression analysis showed an excellent fit of the experimental data to a second-order polynomial model. The interaction between the process variables was evaluated using the obtained three-dimensional surface plots. The analysis revealed that under the optimized parameters of a feed-gas velocity of 1.5 m/s, orifice diameter of 0.001 m, gas head of 0.164 m, mixing-particle diameter of 0.0225 m, and mixing-particle loading of 0.02 kg, the minimum average air velocity and highest air volume fraction were observed throughout the reactor.

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“…•9• used as performance indicators, and the formulas are shown in Eq. ( 13)- (14). Table 2 shows that the prediction performance of Bi-LSTM is significantly better than other models.…”

Section: Fig 11 Model Of Pressure Gradient With Bi-lstm Predictormentioning

confidence: 97%

Regulating control of in-pipe intelligent isolation plugging tool based on adaptive dynamic programming

Miao

Hong

2021

Preprint

Self Cite

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In-pipe intelligent isolation plugging tools (IPTs) are crucial in pipeline maintenance. During the plugging process, the flow field around the IPT changes drastically, resulting in vibration and instability of the plugging process. Therefore, three foldable spoilers were designed at the tail of the IPT to reduce the vibration of the IPT. First, a disturbing flow experiment of IPT with spoilers was designed. A mathematical model of the pneumatic spoiler control system was established to regulate the spoiler angles. Second, based on the experimental data, a Bi-LSTM (bidirectional long short-term memory) neural network predictor between the plugging states, the spoiler angles, and the pressure gradient was established. Then, an adaptive dynamic programming controller was designed to select the optimal control action for each plugging state, thereby reducing the pressure gradient. Finally, Python and Matlab/Simulink were used for simulation. The results showed that the controller could reduce the pressure gradient during the plugging process by an average of 25.94%, which alleviated the vibration of the IPT and achieved a smooth plugging operation.

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Optimal design of a pipe isolation plugging tool using a computational fluid dynamics simulation with response surface methodology and a modified genetic algorithm

Cited by 14 publications

References 31 publications

Comprehensive Optimization of the Dispersion of Mixing Particles in an Inert-Particle Spouted-Bed Reactor (IPSBR) System

Comprehensive Optimization of the Dispersion of Mixing Particles in an Inert-Particle Spouted-Bed Reactor (IPSBR) System

CFD and statistical approach to optimize the average air velocity and air volume fraction in an inert-particles spouted-bed reactor (IPSBR) system

Regulating control of in-pipe intelligent isolation plugging tool based on adaptive dynamic programming

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