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Article . 2016 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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A model analysis on the pulse-jet cleaning performance of electrostatically stimulated fabric filtration

Authors: Haiwei Li; Zuwu Wang; Yin Ye; Zhiping Wang;

A model analysis on the pulse-jet cleaning performance of electrostatically stimulated fabric filtration

Abstract

Abstract Evaluation of the pulse-jet cleaning performance of electrostatically stimulated fabric filtration (ESFF) collectors incorporated with conventional fabric filtration (FF) and additional electrostatic stimulation is a major challenge. This paper proposes a method in which as many fundamental variables of a fabric filter with ESFF as possible are held constant during comparison of its operation to that of a fabric filter without ESFF. In various testing conditions for a novel ESFF collector, each of the specific drag coefficients, k 2, with ESFF was found to be approximately one-third of those without ESFF, which demonstrates that ESFF offers performance at a lower pressure drop than FF. In addition, the ratio of k 2 with ESFF to k 2 without ESFF was on average a constant (0.34 ± 0.05 1 ) throughout the testing; thus, it is called the pressure drop reduction factor (PRF). PRF compares the conventional fabric filter operation to ESFF operation and is used to develop a [PRF] model that defines the relation between pressure variations across the conductive filter bags and the cleaning cycle. In this discussion, the pressure variations are a result of pressure drop, filtration velocity, residual static pressure, and pulse pressure. Therefore, the model cannot only simplify the establishment of the cleaning cycle with ESFF, but also avoid complex evaluations of the cleaning performance involving enormous amounts of data. A comparison between model simulations and experimental results confirms the availability of the model. The pressure drops after the cleaning cycles determined from the model revert closely to their initial levels, indicating that the expected cleaning operations have thus been achieved.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Top 10%
Top 10%
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