Computational Design of Corrosion-Resistant Fe–Cr–Ni–Al Nanocoatings for Power GenerationSource: Journal of Engineering for Gas Turbines and Power:;2010:;volume( 132 ):;issue: 005::page 52101DOI: 10.1115/1.3204651Publisher: 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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| contributor author | K. S. Chan | |
| contributor author | D. W. Gandy | |
| contributor author | W. Liang | |
| contributor author | N. S. Cheruvu | |
| date accessioned | 2017-05-09T00:37:43Z | |
| date available | 2017-05-09T00:37:43Z | |
| date copyright | May, 2010 | |
| date issued | 2010 | |
| identifier issn | 1528-8919 | |
| identifier other | JETPEZ-27112#052101_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/143203 | |
| description 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. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Computational Design of Corrosion-Resistant Fe–Cr–Ni–Al Nanocoatings for Power Generation | |
| type | Journal Paper | |
| journal volume | 132 | |
| journal issue | 5 | |
| journal title | Journal of Engineering for Gas Turbines and Power | |
| identifier doi | 10.1115/1.3204651 | |
| journal fristpage | 52101 | |
| identifier eissn | 0742-4795 | |
| keywords | Temperature | |
| keywords | Diffusion (Physics) | |
| keywords | Coating processes | |
| keywords | Coatings | |
| keywords | Sintering | |
| keywords | Aluminum coatings | |
| keywords | Grain boundaries | |
| keywords | Phase diagrams | |
| keywords | Corrosion | |
| keywords | Design | |
| keywords | Modeling | |
| keywords | Computation | |
| keywords | Toughness | |
| keywords | Density | |
| keywords | Electric power generation | |
| keywords | Energy generation | |
| keywords | oxidation | |
| keywords | Stability | |
| keywords | Aluminum alloys | |
| keywords | Computer software | |
| keywords | Databases AND Sputtering (Irradiation) | |
| tree | Journal of Engineering for Gas Turbines and Power:;2010:;volume( 132 ):;issue: 005 | |
| contenttype | Fulltext |