The Experts below are selected from a list of 7473 Experts worldwide ranked by ideXlab platform
Qingsheng Wang - One of the best experts on this subject based on the ideXlab platform.
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Hydrogen inhibition method for preventing Hydrogen Explosion accident in wet dust removal systems
International Journal of Hydrogen Energy, 2019Co-Authors: Xin Zheng, Kaili Xu, Yantong Wang, Qingsheng WangAbstract:Abstract Wet dust removal systems pose Hydrogen fire and Explosion risks because accumulated aluminium dust can react with water to produce Hydrogen gas. In this study, sodium silicate, which is an abundant and inexpensive chemical, was used to inhibit Hydrogen production. If the reaction between aluminium dust and water in a wet dust removal system can be controlled, the risk of Hydrogen Explosion can be eliminated. Tests of the inhibition of Hydrogen production were conducted using specialized equipment developed by our research team. The experimental results show that a protective film formed on the surfaces of the aluminium particles, which prevented them from reacting with water to produce Hydrogen. When the concentration of the sodium silicate solution reached 2.5 g/L, essentially no Hydrogen gas was produced. Scanning electron microscopy (SEM) was used to examine the surface morphology of the coatings on the aluminium particles. Energy-dispersive X-ray spectroscopy (EDS) revealed that Si was evenly distributed around the aluminium particles, indicating that the inhibitory film covered the aluminium particles. X-ray diffraction (XRD) and X-ray photoelectron spectroscopy (XPS) were used to analyse the chemical composition of the inhibitory film on the aluminium particles that were reacted with the 2.5 g/L sodium silicate solution. The application of a sodium silicate solution in wet aluminium dust removal systems resulted in the maximum reduction in cost and Hydrogen Explosion risk.
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study of Hydrogen Explosion control measures by using l phenylalanine for aluminum wet dust removal systems
RSC Advances, 2018Co-Authors: Xin Zheng, Kaili Xu, Yantong Wang, Qingsheng Wang, Ruiqing ShenAbstract:Wet dust removal systems are an effective design for preventing aluminum dust Explosion in the process of metal polishing. However, wet dust removal systems pose Hydrogen fire and Explosion risks because aluminum dust can react with water to produce Hydrogen gas. According to previous studies, L-phenylalanine can be used to solve the corrosion problem of metal slabs. In this work, a Hydrogen inhibition method was proposed to inhibit Hydrogen production in wet dust removal systems by using L-phenylalanine. The Hydrogen evolution curves of aluminum particles reacting with different concentrations of L-phenylalanine solutions obtained via Hydrogen inhibition experiments revealed that when the concentration of L-phenylalanine solutions reached 20 g L−1, essentially no Hydrogen gas was produced. Scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS) were used to characterize the aluminum particles before and after the reaction. This work shows that L-phenylalanine is a good inhibitor. The adsorption of L-phenylalanine on the aluminum particle surface obeys the Langmuir adsorption isotherm. Additionally, Fourier transform infrared (FTIR) analysis was conducted to explain the physicochemical mechanism of the L-phenylalanine inhibition of Hydrogen production. L-Phenylalanine is an environmentally friendly inhibitor and hence can be used in wet dust removal systems for the treatment of aluminum dust, which can reduce the Hydrogen fire and Explosion risk.
Chunjie Zhang - One of the best experts on this subject based on the ideXlab platform.
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stochastic Explosion risk analysis of Hydrogen production facilities
International Journal of Hydrogen Energy, 2020Co-Authors: Bo Chang, Yuanjiang Chang, Guoming Chen, Faisal Khan, Chunjie ZhangAbstract:Abstract Explosion risk analysis (ERA) is an effective method to investigate potential accidents in Hydrogen production facilities. The ERA suffers from significant Hydrogen dispersion-Explosion scenario-related parametric uncertainty. To better understand the uncertainty in ERA results, thousands of Computational Fluid Dynamics (CFD) scenarios need to be computed. Such a large number of CFD simulations are computationally expensive. This study presents a stochastic procedure by integrating a Bayesian Regularization Artificial Neural Network (BRANN) methodology with ERA to effectively manage the uncertainty as well as reducing the stimulation intensity in Hydrogen Explosion risk study. This BRANN method randomly generates thousands of non-simulation data presenting the relevant Hydrogen dispersion and Explosion physics. The generated data is used to develop scenario-based probability models, which are then used to estimate the exceedance frequency of maximum overpressure. The performance of the proposed approach is verified by analyzing the parametric sensitivity on the exceedance frequency curve and comparing the results against the traditional ERA approach.
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stochastic Explosion risk analysis of Hydrogen production facilities
International Journal of Hydrogen Energy, 2020Co-Authors: Bo Chang, Yuanjiang Chang, Guoming Chen, Faisal Khan, Chunjie ZhangAbstract:Abstract Explosion risk analysis (ERA) is an effective method to investigate potential accidents in Hydrogen production facilities. The ERA suffers from significant Hydrogen dispersion-Explosion scenario-related parametric uncertainty. To better understand the uncertainty in ERA results, thousands of Computational Fluid Dynamics (CFD) scenarios need to be computed. Such a large number of CFD simulations are computationally expensive. This study presents a stochastic procedure by integrating a Bayesian Regularization Artificial Neural Network (BRANN) methodology with ERA to effectively manage the uncertainty as well as reducing the stimulation intensity in Hydrogen Explosion risk study. This BRANN method randomly generates thousands of non-simulation data presenting the relevant Hydrogen dispersion and Explosion physics. The generated data is used to develop scenario-based probability models, which are then used to estimate the exceedance frequency of maximum overpressure. The performance of the proposed approach is verified by analyzing the parametric sensitivity on the exceedance frequency curve and comparing the results against the traditional ERA approach.
Yantong Wang - One of the best experts on this subject based on the ideXlab platform.
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Hydrogen inhibition method for preventing Hydrogen Explosion accident in wet dust removal systems
International Journal of Hydrogen Energy, 2019Co-Authors: Xin Zheng, Kaili Xu, Yantong Wang, Qingsheng WangAbstract:Abstract Wet dust removal systems pose Hydrogen fire and Explosion risks because accumulated aluminium dust can react with water to produce Hydrogen gas. In this study, sodium silicate, which is an abundant and inexpensive chemical, was used to inhibit Hydrogen production. If the reaction between aluminium dust and water in a wet dust removal system can be controlled, the risk of Hydrogen Explosion can be eliminated. Tests of the inhibition of Hydrogen production were conducted using specialized equipment developed by our research team. The experimental results show that a protective film formed on the surfaces of the aluminium particles, which prevented them from reacting with water to produce Hydrogen. When the concentration of the sodium silicate solution reached 2.5 g/L, essentially no Hydrogen gas was produced. Scanning electron microscopy (SEM) was used to examine the surface morphology of the coatings on the aluminium particles. Energy-dispersive X-ray spectroscopy (EDS) revealed that Si was evenly distributed around the aluminium particles, indicating that the inhibitory film covered the aluminium particles. X-ray diffraction (XRD) and X-ray photoelectron spectroscopy (XPS) were used to analyse the chemical composition of the inhibitory film on the aluminium particles that were reacted with the 2.5 g/L sodium silicate solution. The application of a sodium silicate solution in wet aluminium dust removal systems resulted in the maximum reduction in cost and Hydrogen Explosion risk.
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study of Hydrogen Explosion control measures by using l phenylalanine for aluminum wet dust removal systems
RSC Advances, 2018Co-Authors: Xin Zheng, Kaili Xu, Yantong Wang, Qingsheng Wang, Ruiqing ShenAbstract:Wet dust removal systems are an effective design for preventing aluminum dust Explosion in the process of metal polishing. However, wet dust removal systems pose Hydrogen fire and Explosion risks because aluminum dust can react with water to produce Hydrogen gas. According to previous studies, L-phenylalanine can be used to solve the corrosion problem of metal slabs. In this work, a Hydrogen inhibition method was proposed to inhibit Hydrogen production in wet dust removal systems by using L-phenylalanine. The Hydrogen evolution curves of aluminum particles reacting with different concentrations of L-phenylalanine solutions obtained via Hydrogen inhibition experiments revealed that when the concentration of L-phenylalanine solutions reached 20 g L−1, essentially no Hydrogen gas was produced. Scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS) were used to characterize the aluminum particles before and after the reaction. This work shows that L-phenylalanine is a good inhibitor. The adsorption of L-phenylalanine on the aluminum particle surface obeys the Langmuir adsorption isotherm. Additionally, Fourier transform infrared (FTIR) analysis was conducted to explain the physicochemical mechanism of the L-phenylalanine inhibition of Hydrogen production. L-Phenylalanine is an environmentally friendly inhibitor and hence can be used in wet dust removal systems for the treatment of aluminum dust, which can reduce the Hydrogen fire and Explosion risk.
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Prevention of a Hydrogen Explosion accident in the wet aluminum waste dust collection process based on L-malic acid
Powder Technology, 1Co-Authors: Ben Wang, Yantong WangAbstract:Abstract To essentially solve the Hydrogen Explosion risk in wet aluminum waste dust collection systems employed in aluminum product processing, nontoxic and environmentally friendly L-malic acid was used to inhibit the Hydrogen production reaction between aluminum waste dust and water. Experiments and chemical kinetic model analysis showed that when the L-malic acid concentration reached 0.15 g L−1, the Hydrogen production reaction was almost completely suppressed. Scanning electron microscopy (SEM) with energy dispersive spectroscopy (EDS), Fourier transform infrared (FTIR) spectroscopy and adsorption theory were used to analyze the Hydrogen suppression mechanism. The results showed that L-malic acid forms a chemical adsorption film on the surface of aluminum waste dust particles that can prevent particles from contacting water and realizes Hydrogen suppression by preventing the reaction from proceeding. This method provides a design safety measure to prevent Hydrogen Explosion in wet aluminum waste dust collection systems and has good application prospects.
Xin Zheng - One of the best experts on this subject based on the ideXlab platform.
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Hydrogen inhibition method for preventing Hydrogen Explosion accident in wet dust removal systems
International Journal of Hydrogen Energy, 2019Co-Authors: Xin Zheng, Kaili Xu, Yantong Wang, Qingsheng WangAbstract:Abstract Wet dust removal systems pose Hydrogen fire and Explosion risks because accumulated aluminium dust can react with water to produce Hydrogen gas. In this study, sodium silicate, which is an abundant and inexpensive chemical, was used to inhibit Hydrogen production. If the reaction between aluminium dust and water in a wet dust removal system can be controlled, the risk of Hydrogen Explosion can be eliminated. Tests of the inhibition of Hydrogen production were conducted using specialized equipment developed by our research team. The experimental results show that a protective film formed on the surfaces of the aluminium particles, which prevented them from reacting with water to produce Hydrogen. When the concentration of the sodium silicate solution reached 2.5 g/L, essentially no Hydrogen gas was produced. Scanning electron microscopy (SEM) was used to examine the surface morphology of the coatings on the aluminium particles. Energy-dispersive X-ray spectroscopy (EDS) revealed that Si was evenly distributed around the aluminium particles, indicating that the inhibitory film covered the aluminium particles. X-ray diffraction (XRD) and X-ray photoelectron spectroscopy (XPS) were used to analyse the chemical composition of the inhibitory film on the aluminium particles that were reacted with the 2.5 g/L sodium silicate solution. The application of a sodium silicate solution in wet aluminium dust removal systems resulted in the maximum reduction in cost and Hydrogen Explosion risk.
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study of Hydrogen Explosion control measures by using l phenylalanine for aluminum wet dust removal systems
RSC Advances, 2018Co-Authors: Xin Zheng, Kaili Xu, Yantong Wang, Qingsheng Wang, Ruiqing ShenAbstract:Wet dust removal systems are an effective design for preventing aluminum dust Explosion in the process of metal polishing. However, wet dust removal systems pose Hydrogen fire and Explosion risks because aluminum dust can react with water to produce Hydrogen gas. According to previous studies, L-phenylalanine can be used to solve the corrosion problem of metal slabs. In this work, a Hydrogen inhibition method was proposed to inhibit Hydrogen production in wet dust removal systems by using L-phenylalanine. The Hydrogen evolution curves of aluminum particles reacting with different concentrations of L-phenylalanine solutions obtained via Hydrogen inhibition experiments revealed that when the concentration of L-phenylalanine solutions reached 20 g L−1, essentially no Hydrogen gas was produced. Scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS) were used to characterize the aluminum particles before and after the reaction. This work shows that L-phenylalanine is a good inhibitor. The adsorption of L-phenylalanine on the aluminum particle surface obeys the Langmuir adsorption isotherm. Additionally, Fourier transform infrared (FTIR) analysis was conducted to explain the physicochemical mechanism of the L-phenylalanine inhibition of Hydrogen production. L-Phenylalanine is an environmentally friendly inhibitor and hence can be used in wet dust removal systems for the treatment of aluminum dust, which can reduce the Hydrogen fire and Explosion risk.
Bo Chang - One of the best experts on this subject based on the ideXlab platform.
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stochastic Explosion risk analysis of Hydrogen production facilities
International Journal of Hydrogen Energy, 2020Co-Authors: Bo Chang, Yuanjiang Chang, Guoming Chen, Faisal Khan, Chunjie ZhangAbstract:Abstract Explosion risk analysis (ERA) is an effective method to investigate potential accidents in Hydrogen production facilities. The ERA suffers from significant Hydrogen dispersion-Explosion scenario-related parametric uncertainty. To better understand the uncertainty in ERA results, thousands of Computational Fluid Dynamics (CFD) scenarios need to be computed. Such a large number of CFD simulations are computationally expensive. This study presents a stochastic procedure by integrating a Bayesian Regularization Artificial Neural Network (BRANN) methodology with ERA to effectively manage the uncertainty as well as reducing the stimulation intensity in Hydrogen Explosion risk study. This BRANN method randomly generates thousands of non-simulation data presenting the relevant Hydrogen dispersion and Explosion physics. The generated data is used to develop scenario-based probability models, which are then used to estimate the exceedance frequency of maximum overpressure. The performance of the proposed approach is verified by analyzing the parametric sensitivity on the exceedance frequency curve and comparing the results against the traditional ERA approach.
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stochastic Explosion risk analysis of Hydrogen production facilities
International Journal of Hydrogen Energy, 2020Co-Authors: Bo Chang, Yuanjiang Chang, Guoming Chen, Faisal Khan, Chunjie ZhangAbstract:Abstract Explosion risk analysis (ERA) is an effective method to investigate potential accidents in Hydrogen production facilities. The ERA suffers from significant Hydrogen dispersion-Explosion scenario-related parametric uncertainty. To better understand the uncertainty in ERA results, thousands of Computational Fluid Dynamics (CFD) scenarios need to be computed. Such a large number of CFD simulations are computationally expensive. This study presents a stochastic procedure by integrating a Bayesian Regularization Artificial Neural Network (BRANN) methodology with ERA to effectively manage the uncertainty as well as reducing the stimulation intensity in Hydrogen Explosion risk study. This BRANN method randomly generates thousands of non-simulation data presenting the relevant Hydrogen dispersion and Explosion physics. The generated data is used to develop scenario-based probability models, which are then used to estimate the exceedance frequency of maximum overpressure. The performance of the proposed approach is verified by analyzing the parametric sensitivity on the exceedance frequency curve and comparing the results against the traditional ERA approach.
