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Finite element modeling of the elastic modulus of thermal barrier coatings

To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.surfcoat.2012.05.031 Byline: Jiang-Hao Qiao, Rodolphe Bolot, Hanlin Liao Keywords: Thermal barrier coatings; Image-based analysis; 3D finite-element model; Boundary conditions; Elastic modulus Abstract: Effect... Full description

Journal Title: Surface & Coatings Technology April 15, 2013, Vol.220, p.170(4)
Main Author: Qiao, Jiang - Hao
Other Authors: Bolot, Rodolphe , Liao, Hanlin
Format: Electronic Article Electronic Article
Language: English
Subjects:
Quelle: Cengage Learning, Inc.
ID: ISSN: 0257-8972
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recordid: gale_ofa335323196
title: Finite element modeling of the elastic modulus of thermal barrier coatings
format: Article
creator:
  • Qiao, Jiang - Hao
  • Bolot, Rodolphe
  • Liao, Hanlin
subjects:
  • Finite Element Method -- Analysis
  • Finite Element Method -- Models
  • Coatings Industry -- Analysis
  • Coatings Industry -- Models
  • Coatings -- Analysis
  • Coatings -- Models
ispartof: Surface & Coatings Technology, April 15, 2013, Vol.220, p.170(4)
description: To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.surfcoat.2012.05.031 Byline: Jiang-Hao Qiao, Rodolphe Bolot, Hanlin Liao Keywords: Thermal barrier coatings; Image-based analysis; 3D finite-element model; Boundary conditions; Elastic modulus Abstract: Effective properties of thermal barrier coatings (TBCs) may be quantified via different measurement techniques. Numerical methods based on image analysis represents an alternative method for predicting these properties. In the present work, the elastic modulus of plasma sprayed Y-PSZ coatings was first estimated by using a 2D mesh formed by SEM cross-sectional images, and then by a 3D finite-element model developed from an artificial 3D coating image. A resolution-adapted mesh was generated for both structures so as to economize the computational resources. Free, symmetric and periodic boundary conditions (BCs) were applied. The constraint BCs may lead to a little higher computed modulus than the free BC does, especially for 2D modeling. The choice of an adequate threshold, allowing the generation of a binary image from a grey-scaled SEM image, was investigated in terms of porosity and computed modulus. It is found that a higher threshold results in a higher porosity level and a lower computed modulus. Then, the effective elastic modulus computed for the 3D image was compared with those obtained from 2D computations performed on cross-sections of this 3D image, revealing the differences between 2D and 3D image-based analyses. Finally, a bending test was implemented to validate the modeling results.
language: English
source: Cengage Learning, Inc.
identifier: ISSN: 0257-8972
fulltext: fulltext
issn:
  • 0257-8972
  • 02578972
url: Link


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titleFinite element modeling of the elastic modulus of thermal barrier coatings
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subjectFinite Element Method -- Analysis ; Finite Element Method -- Models ; Coatings Industry -- Analysis ; Coatings Industry -- Models ; Coatings -- Analysis ; Coatings -- Models
descriptionTo link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.surfcoat.2012.05.031 Byline: Jiang-Hao Qiao, Rodolphe Bolot, Hanlin Liao Keywords: Thermal barrier coatings; Image-based analysis; 3D finite-element model; Boundary conditions; Elastic modulus Abstract: Effective properties of thermal barrier coatings (TBCs) may be quantified via different measurement techniques. Numerical methods based on image analysis represents an alternative method for predicting these properties. In the present work, the elastic modulus of plasma sprayed Y-PSZ coatings was first estimated by using a 2D mesh formed by SEM cross-sectional images, and then by a 3D finite-element model developed from an artificial 3D coating image. A resolution-adapted mesh was generated for both structures so as to economize the computational resources. Free, symmetric and periodic boundary conditions (BCs) were applied. The constraint BCs may lead to a little higher computed modulus than the free BC does, especially for 2D modeling. The choice of an adequate threshold, allowing the generation of a binary image from a grey-scaled SEM image, was investigated in terms of porosity and computed modulus. It is found that a higher threshold results in a higher porosity level and a lower computed modulus. Then, the effective elastic modulus computed for the 3D image was compared with those obtained from 2D computations performed on cross-sections of this 3D image, revealing the differences between 2D and 3D image-based analyses. Finally, a bending test was implemented to validate the modeling results.
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abstractTo link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.surfcoat.2012.05.031 Byline: Jiang-Hao Qiao, Rodolphe Bolot, Hanlin Liao Keywords: Thermal barrier coatings; Image-based analysis; 3D finite-element model; Boundary conditions; Elastic modulus Abstract: Effective properties of thermal barrier coatings (TBCs) may be quantified via different measurement techniques. Numerical methods based on image analysis represents an alternative method for predicting these properties. In the present work, the elastic modulus of plasma sprayed Y-PSZ coatings was first estimated by using a 2D mesh formed by SEM cross-sectional images, and then by a 3D finite-element model developed from an artificial 3D coating image. A resolution-adapted mesh was generated for both structures so as to economize the computational resources. Free, symmetric and periodic boundary conditions (BCs) were applied. The constraint BCs may lead to a little higher computed modulus than the free BC does, especially for 2D modeling. The choice of an adequate threshold, allowing the generation of a binary image from a grey-scaled SEM image, was investigated in terms of porosity and computed modulus. It is found that a higher threshold results in a higher porosity level and a lower computed modulus. Then, the effective elastic modulus computed for the 3D image was compared with those obtained from 2D computations performed on cross-sections of this 3D image, revealing the differences between 2D and 3D image-based analyses. Finally, a bending test was implemented to validate the modeling results.
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