Design of pulse-jet systems for milk powder baghouses

Litchwark, James O.; Winchester, James; Nijdam, J. J.

doi:10.1016/j.powtec.2015.06.056

Cited by 6 publications

(3 citation statements)

References 23 publications

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“…The baghouse finds widespread application in collecting particulate emissions from diverse industrial plants, including those dealing with milk, wood, fly ash, and limestone powder. This technology represents a significant leap forward in dust collection [1][2][3]. Within the baghouse, numerous bag filters, often constructed from nonwoven filter fabrics, are strategically assembled.…”

Section: Introductionmentioning

confidence: 99%

Development of a Baghouse Filter CFD Model for Efficient Particulate Removal in Air Filtration Systems

Punyaponchai

2024

GEOMATE

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Air pollution poses a serious challenge for our capital city, and one crucial line of defense is effective dust control. Employing computational fluid dynamics (CFD), we designed a dust collector aimed at efficiently tackling particles smaller than 10 micrometers, a critical factor in combating air pollution. OpenFOAM, an open-source CFD software, was instrumental in this design process. Notably, our dust collector is equipped with bag filters capable of filtering PM 2.5. The application of the k-ε turbulence model governed the flow through the baghouse in our CFD model, while the bag filter was treated as a porous medium following Darcy's law. To validate our approach, we conducted an airflow experiment through a bag filter installed in the baghouse, determining the coefficient of Darcy's equation and benchmarking against CFD results. Impressively, our baghouse model exhibited an average error of less than 6.46%. This CFD-guided modeling not only minimizes trial and error in design but also provides manufacturers with insights to optimize and innovate baghouses in the future.

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Section: Introductionmentioning

confidence: 99%

Development of a Baghouse Filter CFD Model for Efficient Particulate Removal in Air Filtration Systems

Punyaponchai

2024

GEOMATE

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“…Lin et al [9] conducted in-depth comparative experiments on different electromagnetic valves with different diameters and found the injection volume of a large electromagnetic valve was higher than that of a smaller one, and the resistance of pulse valves was lower. Litchwark et al [10] designed a test system to measure the pressure change characteristics of the pulse valve and obtained the mathematical equation of pressure change during the injection process by mathematical fitting. Many methods [11,12] investigated the effect of injection performance parameters on electromagnetic pulse valves and concluded that the higher the injection pressure, the higher the air consumption of one injection of an electromagnetic valve.…”

Section: Introductionmentioning

confidence: 99%

The Synergistic Effect of the Filtration Area Controlled by the Electromagnetic Valve and Injection Pressure on Pulse-Jet Dust Cleaning Performance

Fu,

Lǖ,

Huang

et al. 2024

Atmosphere

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In engineering pulse-jet dust collector applications, the filtration area and injection pressure are chosen mostly based on experience. The peak pressure is tested under different injection pressures and filtration areas controlled by an electromagnetic valve, and then comprehensively analyzes the effects of dust intensity, uniformity, and air consumption on dust cleaning to obtain a better filtration area controlled by an electromagnetic valve and injection pressure. The results show that considering the uniformity and intensity of dust cleaning, the filtration area of 33 m2 under the injection pressure of 0.4 MPa should be preferentially selected, with a standard deviation of 0.246 and a variance of 0.061. The filtration area of 27 m2 under the injection pressure of 0.3 MPa should be preferentially selected considering the unit air consumption, uniformity, and intensity of dust cleaning, the standard deviation of 0.252, and the variance of 0.064. The paper presents a theoretical foundation for selecting the optimal injection pressure and filter area regulated by an electromagnetic valve in pulse-jet dust collector systems.

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“…Pulse jet-cleaned filters have remained a key technology for dust separation in many industrial processes for several decades and have kept their relevance to this day [1]. The application spectrum for baghouse filters ranges from industrial processes (e.g., cement or aluminum production, food sector, wood processing [2][3][4][5][6]) to smallerscale applications (e.g., incineration plants, dedusting systems for worker protection [7,8]).…”

Section: Introductionmentioning

confidence: 99%

Operating Behavior of Pulse Jet‐Cleaned Filters Regarding Energy Demand and Particle Emissions – Part 1: Experimental Parameter Study

2023

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Filter operation of a pilot-scale baghouse filter was evaluated under energy and particle emission criteria. Evaluation of the required total power for filter operation takes into account the fan power as well as the consumption of pressurized air. Filter face velocity, raw-gas concentration, and tank pressure for regeneration were varied for several cycle time settings to identify the minimum power. Cycle times shorter than at minimum power are not feasible due to increased dust emissions and no additional energetic benefit. Cycle times longer than at minimum power may lower the dust emissions at the cost of increased power consumption. Lowering filter face velocity can greatly lower the power consumption of baghouse filters, having implications on filter layout.

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Design of pulse-jet systems for milk powder baghouses

Cited by 6 publications

References 23 publications

Development of a Baghouse Filter CFD Model for Efficient Particulate Removal in Air Filtration Systems

Development of a Baghouse Filter CFD Model for Efficient Particulate Removal in Air Filtration Systems

The Synergistic Effect of the Filtration Area Controlled by the Electromagnetic Valve and Injection Pressure on Pulse-Jet Dust Cleaning Performance

Operating Behavior of Pulse Jet‐Cleaned Filters Regarding Energy Demand and Particle Emissions – Part 1: Experimental Parameter Study

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