Effects of exhaust parameters on gasoline soot regeneration performance of a catalytic gasoline particulate filter in equilibrium state

Zuo, Qingsong; Tang, Yuanyou; Wei, Chen; Zhang, Jianping; Shi, Li; Xie, Yong

doi:10.1016/j.fuel.2019.117001

Cited by 26 publications

(5 citation statements)

References 52 publications

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“…Energy crisis [37][38][39][40] promotes the more stringent emission regulations enacted by governments around the world, which means that it is very urgent to develop new combustion [41][42][43] and emission reduction technology [44][45][46][47][48][49][50] for minimizing engine emissions [51][52][53][54]. In the paper, a mathematical model of gas-particle flow characteristics is established and employed to investigate the characteristics of gas-particle flow.…”

Section: Discussionmentioning

confidence: 99%

Investigation on Gas-Soot Flow Distribution Characteristic of Soot Capture Process in the Wall-Flow Diesel Particulate Filter

Tan

2021

International Journal of Aerospace Engineering

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In order to investigate the distribution characteristics of gas-particle two-phase flow in the diesel particulate filter in the capture process, a mathematical model of gas-particle two-phase flow for inside-and-outside filter had been established in the capture process according to the mass conservation equation, momentum conservation equation, and k-ε turbulence equation. The model verification was carried out with the experimental and simulated of flow distribution characteristics of gas-particle two-phase. The obtained results showed that the static pressure gradient along the radial distribution was greater at the inlet of the filter in capture process in the diesel particulate filter, which could easily lead to causing eventual fatigue damage due to stress concentration in the front-end of filter; moreover, the weaker the vortex strength of gas-particle formed in expansion pipe was, the better uniformity of flow velocity and soot concentration distribution were. Therefore, the established mathematical model can be used for predicting gas-particle flow velocity distribution in the diesel particulate filter.

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Section: Discussionmentioning

confidence: 99%

Investigation on Gas-Soot Flow Distribution Characteristic of Soot Capture Process in the Wall-Flow Diesel Particulate Filter

Tan

2021

International Journal of Aerospace Engineering

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“…It is a very important research topic to improve combustion efficiency [38][39][40] and reduce pollutant emissions [41][42][43][44][45][46] by changing the shape and structure size of the burners. As for the swirl burner, the latter research should be based on the existing model research and carry out relevant simulation and experimental research.…”

Section: Current and Future Developmentsmentioning

confidence: 99%

Effect Analysis on Combustion and Emission Characteristics of a Rotary Burner Fueled by Biomass Pellet Fuel

Gao

Zhang

2020

Journal of Chemistry

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A biomass pellet rotary burner was chosen as the research object, in order to study the influence of excess air coefficient on the combustion phenomenon of biomass rotary burner, the finite element simulation model of a biomass rotary burner was established, and simulation results of a biomass rotary burner were verified by the experiment. The computational fluid dynamics software was applied to simulate the combustion characteristics of biomass rotary burner in a steady-state condition, and the effect of excess air coefficient on temperature field and component concentration field in biomass rotary burner was analyzed. The results show that the flue gas flow rate inside the burner gradually increases with the increase of air velocity, the area with large temperature is mainly concentrated in the middle region of the rotary burner, and the maximum combustion temperature also appeared in the middle region of the combustion chamber, and the formation area of CO decreases with the increase of excess air coefficient. CO2 is mainly concentrated in the middle region of the burner, and the CO2 generating region decreases with the increase of excess air coefficient. The experimental value of the combustion temperature of the biomass rotary burner is in good agreement with the simulation results.

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“…Zuo et al 3 examined the influence of the performance of the catalytic gasoline particulate filters on gasoline soot regeneration using fluent simulation software. The results show the maximum value of catalytic efficiency, pressure drop, and particulate oxidation value and the effect of catalytic efficiency on increasing oxygen concentration.…”

Section: Introductionmentioning

confidence: 99%

Effect of hybrid nanoparticles MgO and Al₂O₃ added water‐in‐diesel emulsion fueled diesel engine using hybrid deep neural network‐based spotted hyena optimization

Patel¹,

Dhiman

2022

Heat Trans

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The automotive sector is one of the top energy consumers globally compared with any other sector where oil plays the main role. According to http://statista.com (an online platform that displays the stats on oil consumption and reserves), in 2016, the demand for crude oil was about 85.3 million barrels per day worldwide. In 2019, the demand almost reached 100 barrels per day, and then it was reduced to 91 million per day during the 2020 global COVID‐19 crisis. However, it was predicted that the global crude oil requirements will exceed 100 million barrels per day by 2023 and will continue to raise. Also, geographically, not all countries worldwide have the oil reservoirs or the technology to extract oil from the reservoirs. Although the oil demand worldwide is increasing every year, researchers have estimated that there are only 47 years of oil left on the planet earth if the current oil consumption will raise this way. Researchers are looking for finding alternative fuels, such as electrochemical energy (electric vehicles), biodiesel, electricity, ethanol, hydrogen, natural gas, propane, emerging fuels, or the use of such fuels in the existing engines to minimize the use of nonrenewable energy resources. However, researchers are also looking more at fuels based on hybrid nanoparticles added to emulsified fuels. Due to the limitations of utilizing electrochemical energy or biofuels include high charging time, limited millage, harmful exhaust emissions, complicated production process, engine efficiency, the cost of fuel, and the advantages over hybrid nanoparticles added emulsified fuels than biofuels. Hence, after going through numerous researches, in this present experimentation, “hybrid nanoparticles (MgO and Al2O3) added water‐in‐diesel emulsion” are formulated to enhance the quality of emission and improve the performance of the compression ignition engine. The best combination of diesel, MgO, and Al2O3, a water‐in‐diesel (W/D) emulsion blend, is proposed. The results were further validated using deep neural network‐based spotted hyena optimization (DNN‐SHO) prediction and compared with traditional machine learning approaches artificial neural network (ANN), convolution neural network (CNN), regression‐based network (RBN), recurrent neural network (RNN), and DNN. As a result, the best proportions of the proposed nanoparticles added into the W/D bend are identified to be 10% W/D, 50 ppm of MgO, and 50 ppm of Al2O in terms of engine performance and emission characteristics brake thermal efficiency 30.7%, brake‐specific fuel consumption 0.29 kg/kW‐h, CO 0.027 vol%, NOx 855 ppm vol, and HC 12 ppm vol. Besides this, the DNN‐SHO‐based validated outcomes are in good agreement with the experimental values and outperformed other traditional approaches ANN, CNN, RBN, RNN, and DNN used in this study.

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Effects of exhaust parameters on gasoline soot regeneration performance of a catalytic gasoline particulate filter in equilibrium state

Cited by 26 publications

References 52 publications

Investigation on Gas-Soot Flow Distribution Characteristic of Soot Capture Process in the Wall-Flow Diesel Particulate Filter

Investigation on Gas-Soot Flow Distribution Characteristic of Soot Capture Process in the Wall-Flow Diesel Particulate Filter

Effect Analysis on Combustion and Emission Characteristics of a Rotary Burner Fueled by Biomass Pellet Fuel

Effect of hybrid nanoparticles MgO and Al₂O₃ added water‐in‐diesel emulsion fueled diesel engine using hybrid deep neural network‐based spotted hyena optimization

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Effects of exhaust parameters on gasoline soot regeneration performance of a catalytic gasoline particulate filter in equilibrium state

Cited by 26 publications

References 52 publications

Investigation on Gas-Soot Flow Distribution Characteristic of Soot Capture Process in the Wall-Flow Diesel Particulate Filter

Investigation on Gas-Soot Flow Distribution Characteristic of Soot Capture Process in the Wall-Flow Diesel Particulate Filter

Effect Analysis on Combustion and Emission Characteristics of a Rotary Burner Fueled by Biomass Pellet Fuel

Effect of hybrid nanoparticles MgO and Al2O3 added water‐in‐diesel emulsion fueled diesel engine using hybrid deep neural network‐based spotted hyena optimization

Contact Info

Product

Resources

About

Effect of hybrid nanoparticles MgO and Al₂O₃ added water‐in‐diesel emulsion fueled diesel engine using hybrid deep neural network‐based spotted hyena optimization