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contributor authorLi, Fang
contributor authorCai, Liuxi
contributor authorWang, Shunsen
contributor authorFeng, Zhenping
date accessioned2022-05-08T09:20:50Z
date available2022-05-08T09:20:50Z
date copyright2/21/2022 12:00:00 AM
date issued2022
identifier issn0742-4795
identifier othergtp_144_05_051013.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4285023
description abstractFinite element method (FEM) was used to study the stress peak of stress S11 (radial stress component in X-axis) on the steam turbine blade surface of four typical erosion-resistant coatings (Fe2B, CrN, Cr3C2–NiCr and Al2O3–13%TiO2). The effect of four parameters, such as impact velocity, coating thickness, Young's modulus, and Poisson's ratio on the stress peak of stress S11 was analyzed. Results show that the position of tensile stress peak and compressive stress peak of stress S11 is far away from the impact center point with the increase of impact velocity. When coating thickness is equal to or greater than 10 μm, the magnitude of tensile stress peak of stress S11 on the four coating surfaces does not change with the coating thickness at different impact velocities. When coating thickness is equal to or greater than 2 μm, the magnitude of tensile stress peak of stress S11 of four coatings shows a trend of increasing first and then decreasing with the increase of Young's modulus. Meanwhile, the larger the Poisson's ratio, the smaller the tensile stress peak of stress S11. After optimization, when coating thickness is 2 μm, Poisson's ratio is 0.35 and Young's modulus is 800 GPa, the Fe2B coating has the strongest erosion resistance under the same impact conditions, followed by Cr3C2–NiCr, CrN, and the Al2O3–13%TiO2 coating, Al2O3–13%TiO2 coating has the worst erosion resistance.
publisherThe American Society of Mechanical Engineers (ASME)
titleMultiparameter Optimization to Improve the Erosion Resistance of Coating by Finite Element Simulation
typeJournal Paper
journal volume144
journal issue5
journal titleJournal of Engineering for Gas Turbines and Power
identifier doi10.1115/1.4053192
journal fristpage51013-1
journal lastpage51013-10
page10
treeJournal of Engineering for Gas Turbines and Power:;2022:;volume( 144 ):;issue: 005
contenttypeFulltext


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