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    Porosity-Driven Approaches to Model Fouling Effects on Flow Field

    Source: Journal of Turbomachinery:;2020:;volume( 142 ):;issue: 004
    Author:
    Casari, Nicola
    ,
    Suman, Alessio
    ,
    Pinelli, Michele
    DOI: 10.1115/1.4045989
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Air contamination by solid particles represents a real hazard for compressors for both heavy-duty and aeropropulsion gas turbines. Particles impacting the inner surfaces of the machine can stick to such surfaces or erode them. The presence of deposits entails a reduction in performance, in a phenomenon commonly referred to as fouling. As the severity of the problem increases, the performance reduction can become so big to demand engine shut down and offline washing. Numerical modeling is one of the techniques employed for tackling the fouling problem. In this work, an innovative procedure is proposed to evaluate the losses and the variation in the fluid flow due to the deposits. Specifically, as the deposit grows, it is assumed that it forms a porous medium attached to the wall. The porosity of this zone (related to the packing of the particles and to the number of particles that sticks to that portion of the wall) is responsible for the deposition-induced losses. Different approaches to compute such losses are proposed and discussed. By using this methodology, the two main effects of fouling (variation in roughness and in shape of the airfoil) can be easily included in a comprehensive analysis of the variation of the performance of the compressor over time. Furthermore, this approach overcomes the difficulties that may arise by using a mesh morphing technique. The computational grid is not modified, and thus, its quality is retained, without remeshing requirements, even for large deposits.
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      Porosity-Driven Approaches to Model Fouling Effects on Flow Field

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    contributor authorCasari, Nicola
    contributor authorSuman, Alessio
    contributor authorPinelli, Michele
    date accessioned2022-02-04T14:39:02Z
    date available2022-02-04T14:39:02Z
    date copyright2020/03/11/
    date issued2020
    identifier issn0889-504X
    identifier otherturbo_142_4_041005.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4274100
    description abstractAir contamination by solid particles represents a real hazard for compressors for both heavy-duty and aeropropulsion gas turbines. Particles impacting the inner surfaces of the machine can stick to such surfaces or erode them. The presence of deposits entails a reduction in performance, in a phenomenon commonly referred to as fouling. As the severity of the problem increases, the performance reduction can become so big to demand engine shut down and offline washing. Numerical modeling is one of the techniques employed for tackling the fouling problem. In this work, an innovative procedure is proposed to evaluate the losses and the variation in the fluid flow due to the deposits. Specifically, as the deposit grows, it is assumed that it forms a porous medium attached to the wall. The porosity of this zone (related to the packing of the particles and to the number of particles that sticks to that portion of the wall) is responsible for the deposition-induced losses. Different approaches to compute such losses are proposed and discussed. By using this methodology, the two main effects of fouling (variation in roughness and in shape of the airfoil) can be easily included in a comprehensive analysis of the variation of the performance of the compressor over time. Furthermore, this approach overcomes the difficulties that may arise by using a mesh morphing technique. The computational grid is not modified, and thus, its quality is retained, without remeshing requirements, even for large deposits.
    publisherThe American Society of Mechanical Engineers (ASME)
    titlePorosity-Driven Approaches to Model Fouling Effects on Flow Field
    typeJournal Paper
    journal volume142
    journal issue4
    journal titleJournal of Turbomachinery
    identifier doi10.1115/1.4045989
    page41005
    treeJournal of Turbomachinery:;2020:;volume( 142 ):;issue: 004
    contenttypeFulltext
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