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    Computational Design of Corrosion-Resistant Fe–Cr–Ni–Al Nanocoatings for Power Generation

    Source: Journal of Engineering for Gas Turbines and Power:;2010:;volume( 132 ):;issue: 005::page 52101
    Author:
    K. S. Chan
    ,
    D. W. Gandy
    ,
    W. Liang
    ,
    N. S. Cheruvu
    DOI: 10.1115/1.3204651
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A computational approach has been undertaken to design and assess potential Fe–Cr–Ni–Al systems to produce stable nanostructured corrosion-resistant coatings that form a protective, continuous scale of alumina or chromia at elevated temperatures. The phase diagram computation was modeled using the THERMO-CALC ® software and database (Thermo-Calc® Software, 2007, THERMO-CALC for Windows Version 4, Thermo-Calc Software AB, Stockholm, Sweden; Thermo-Calc® Software, 2007, TCFE5, Version 5, Thermo-Calc Software AB, Stockholm, Sweden) to generate pseudoternary Fe–Cr–Ni–Al phase diagrams to help identify compositional ranges without the undesirable brittle phases. The computational modeling of the grain growth process, sintering of voids and interface toughness determination by indentation, assessed microstructural stability, and durability of the nanocoatings fabricated by a magnetron-sputtering process. Interdiffusion of Al, Cr, and Ni was performed using the DICTRA ® diffusion code (Thermo-Calc Software® , DICTRA , Version 24, 2007, Version 25, 2008, Thermo-Calc Software AB, Stockholm, Sweden) to maximize the long-term stability of the nanocoatings. The computational results identified a new series of Fe–Cr–Ni–Al coatings that maintain long-term stability and a fine-grained microstructure at elevated temperatures. The formation of brittle σ-phase in Fe–Cr–Ni–Al alloys is suppressed for Al contents in excess of 4 wt %. The grain growth modeling indicated that the columnar-grained structure with a high percentage of low-angle grain boundaries is resistant to grain growth. Sintering modeling indicated that the initial relative density of as-processed magnetron-sputtered coatings could achieve full density after a short thermal exposure or heat-treatment. The interface toughness computation indicated that the Fe–Cr–Ni–Al nanocoatings exhibit high interface toughness in the range of 52–366J/m2. The interdiffusion modeling using the DICTRA software package indicated that inward diffusion could result in substantial to moderate Al and Cr losses from the nanocoating to the substrate during long-term thermal exposures.
    keyword(s): Temperature , Diffusion (Physics) , Coating processes , Coatings , Sintering , Aluminum coatings , Grain boundaries , Phase diagrams , Corrosion , Design , Modeling , Computation , Toughness , Density , Electric power generation , Energy generation , oxidation , Stability , Aluminum alloys , Computer software , Databases AND Sputtering (Irradiation) ,
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      Computational Design of Corrosion-Resistant Fe–Cr–Ni–Al Nanocoatings for Power Generation

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/143203
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    • Journal of Engineering for Gas Turbines and Power

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    contributor authorK. S. Chan
    contributor authorD. W. Gandy
    contributor authorW. Liang
    contributor authorN. S. Cheruvu
    date accessioned2017-05-09T00:37:43Z
    date available2017-05-09T00:37:43Z
    date copyrightMay, 2010
    date issued2010
    identifier issn1528-8919
    identifier otherJETPEZ-27112#052101_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/143203
    description abstractA computational approach has been undertaken to design and assess potential Fe–Cr–Ni–Al systems to produce stable nanostructured corrosion-resistant coatings that form a protective, continuous scale of alumina or chromia at elevated temperatures. The phase diagram computation was modeled using the THERMO-CALC ® software and database (Thermo-Calc® Software, 2007, THERMO-CALC for Windows Version 4, Thermo-Calc Software AB, Stockholm, Sweden; Thermo-Calc® Software, 2007, TCFE5, Version 5, Thermo-Calc Software AB, Stockholm, Sweden) to generate pseudoternary Fe–Cr–Ni–Al phase diagrams to help identify compositional ranges without the undesirable brittle phases. The computational modeling of the grain growth process, sintering of voids and interface toughness determination by indentation, assessed microstructural stability, and durability of the nanocoatings fabricated by a magnetron-sputtering process. Interdiffusion of Al, Cr, and Ni was performed using the DICTRA ® diffusion code (Thermo-Calc Software® , DICTRA , Version 24, 2007, Version 25, 2008, Thermo-Calc Software AB, Stockholm, Sweden) to maximize the long-term stability of the nanocoatings. The computational results identified a new series of Fe–Cr–Ni–Al coatings that maintain long-term stability and a fine-grained microstructure at elevated temperatures. The formation of brittle σ-phase in Fe–Cr–Ni–Al alloys is suppressed for Al contents in excess of 4 wt %. The grain growth modeling indicated that the columnar-grained structure with a high percentage of low-angle grain boundaries is resistant to grain growth. Sintering modeling indicated that the initial relative density of as-processed magnetron-sputtered coatings could achieve full density after a short thermal exposure or heat-treatment. The interface toughness computation indicated that the Fe–Cr–Ni–Al nanocoatings exhibit high interface toughness in the range of 52–366J/m2. The interdiffusion modeling using the DICTRA software package indicated that inward diffusion could result in substantial to moderate Al and Cr losses from the nanocoating to the substrate during long-term thermal exposures.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleComputational Design of Corrosion-Resistant Fe–Cr–Ni–Al Nanocoatings for Power Generation
    typeJournal Paper
    journal volume132
    journal issue5
    journal titleJournal of Engineering for Gas Turbines and Power
    identifier doi10.1115/1.3204651
    journal fristpage52101
    identifier eissn0742-4795
    keywordsTemperature
    keywordsDiffusion (Physics)
    keywordsCoating processes
    keywordsCoatings
    keywordsSintering
    keywordsAluminum coatings
    keywordsGrain boundaries
    keywordsPhase diagrams
    keywordsCorrosion
    keywordsDesign
    keywordsModeling
    keywordsComputation
    keywordsToughness
    keywordsDensity
    keywordsElectric power generation
    keywordsEnergy generation
    keywordsoxidation
    keywordsStability
    keywordsAluminum alloys
    keywordsComputer software
    keywordsDatabases AND Sputtering (Irradiation)
    treeJournal of Engineering for Gas Turbines and Power:;2010:;volume( 132 ):;issue: 005
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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