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    Prediction of Size Distribution of Particles Penetrating Dry Cyclone Separators

    Source: Journal of Environmental Engineering:;2002:;Volume ( 128 ):;issue: 010
    Author:
    Alexia A. Economopoulou
    ,
    Alexander P. Economopoulos
    DOI: 10.1061/(ASCE)0733-9372(2002)128:10(919)
    Publisher: American Society of Civil Engineers
    Abstract: The efficiency of cyclones varies widely with the size of particles and complex mathematic formulations are used for predicting the collection efficiency of a single particle size. Numerical integration of the latter, in conjunction with the appropriate in each case input particle size distribution, or direct use of nomographs if lognormal input particle size distribution can be assumed, yields the overall efficiency. In either case, no information is available regarding the size distribution of the penetrating particles. As shown in this paper, lognormal input particle size distributions yield lognormal output particle size distributions. Based on this and on the analysis of functional relations, a set of nomographs is developed directly yielding the mean diameter and standard deviation of penetrating particles as a function of the input particle size distribution parameters and key cyclone design and operating conditions. The above set the stage for the rigorous computation of the size-specific emissions from cyclones and the overall and size-specific efficiencies of secondary control systems that may follow. This analysis is in line with current trends, which, on the basis of health considerations, place emphasis on the size-specific rather than on the overall particle emissions.
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      Prediction of Size Distribution of Particles Penetrating Dry Cyclone Separators

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    https://yetl.yabesh.ir/yetl1/handle/yetl/56198
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    • Journal of Environmental Engineering

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    contributor authorAlexia A. Economopoulou
    contributor authorAlexander P. Economopoulos
    date accessioned2017-05-08T21:33:44Z
    date available2017-05-08T21:33:44Z
    date copyrightOctober 2002
    date issued2002
    identifier other%28asce%290733-9372%282002%29128%3A10%28919%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/56198
    description abstractThe efficiency of cyclones varies widely with the size of particles and complex mathematic formulations are used for predicting the collection efficiency of a single particle size. Numerical integration of the latter, in conjunction with the appropriate in each case input particle size distribution, or direct use of nomographs if lognormal input particle size distribution can be assumed, yields the overall efficiency. In either case, no information is available regarding the size distribution of the penetrating particles. As shown in this paper, lognormal input particle size distributions yield lognormal output particle size distributions. Based on this and on the analysis of functional relations, a set of nomographs is developed directly yielding the mean diameter and standard deviation of penetrating particles as a function of the input particle size distribution parameters and key cyclone design and operating conditions. The above set the stage for the rigorous computation of the size-specific emissions from cyclones and the overall and size-specific efficiencies of secondary control systems that may follow. This analysis is in line with current trends, which, on the basis of health considerations, place emphasis on the size-specific rather than on the overall particle emissions.
    publisherAmerican Society of Civil Engineers
    titlePrediction of Size Distribution of Particles Penetrating Dry Cyclone Separators
    typeJournal Paper
    journal volume128
    journal issue10
    journal titleJournal of Environmental Engineering
    identifier doi10.1061/(ASCE)0733-9372(2002)128:10(919)
    treeJournal of Environmental Engineering:;2002:;Volume ( 128 ):;issue: 010
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian