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    Analysis of Erosion of Surfaces in Falling Particle Concentrating Solar Power

    Source: Journal of Solar Energy Engineering:;2024:;volume( 147 ):;issue: 002::page 21010-1
    Author:
    Kant, K.
    ,
    Kondaiah, P.
    ,
    Pitchumani, R.
    DOI: 10.1115/1.4066840
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Next generation concentrating solar power (CSP) systems, which utilize solid particles for energy capture, transport, and storage, offer prospects for higher temperature operation, improved efficiency, and reduced overall costs. Nevertheless, the continuous impingement of particles on component materials can result in substantial erosion, significantly constraining the performance and longevity of the components. A comprehensive understanding of particle erosion on surfaces is essential for designing components and operational parameters or coatings that minimize wear. This study presents a computational physics-based particle tracking model of the erosion rate of incident surfaces under different geometric, operational, and particle parameters. The computational model is validated with experimental measurements conducted as part of the study. Computational simulations are presented to elucidate the effects of each parameter and further used to investigate erosion rates in a systematic design of experiments covering a wide range of parameters. Based on the simulation results, a generalized analytical model is developed to relate erosion wear to pertinent dimensionless groups governing the physics of the process. The analytical model is shown to be accurate to within 10% and its use in understanding surface erosion as well as designing wear-resistant coatings to limit erosion within acceptable values is presented.
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      Analysis of Erosion of Surfaces in Falling Particle Concentrating Solar Power

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4306449
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    contributor authorKant, K.
    contributor authorKondaiah, P.
    contributor authorPitchumani, R.
    date accessioned2025-04-21T10:33:48Z
    date available2025-04-21T10:33:48Z
    date copyright10/30/2024 12:00:00 AM
    date issued2024
    identifier issn0199-6231
    identifier othersol_147_2_021010.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4306449
    description abstractNext generation concentrating solar power (CSP) systems, which utilize solid particles for energy capture, transport, and storage, offer prospects for higher temperature operation, improved efficiency, and reduced overall costs. Nevertheless, the continuous impingement of particles on component materials can result in substantial erosion, significantly constraining the performance and longevity of the components. A comprehensive understanding of particle erosion on surfaces is essential for designing components and operational parameters or coatings that minimize wear. This study presents a computational physics-based particle tracking model of the erosion rate of incident surfaces under different geometric, operational, and particle parameters. The computational model is validated with experimental measurements conducted as part of the study. Computational simulations are presented to elucidate the effects of each parameter and further used to investigate erosion rates in a systematic design of experiments covering a wide range of parameters. Based on the simulation results, a generalized analytical model is developed to relate erosion wear to pertinent dimensionless groups governing the physics of the process. The analytical model is shown to be accurate to within 10% and its use in understanding surface erosion as well as designing wear-resistant coatings to limit erosion within acceptable values is presented.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleAnalysis of Erosion of Surfaces in Falling Particle Concentrating Solar Power
    typeJournal Paper
    journal volume147
    journal issue2
    journal titleJournal of Solar Energy Engineering
    identifier doi10.1115/1.4066840
    journal fristpage21010-1
    journal lastpage21010-11
    page11
    treeJournal of Solar Energy Engineering:;2024:;volume( 147 ):;issue: 002
    contenttypeFulltext
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