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Implementation of a viscoplastic model for a plasma sprayed ceramic thermal barrier coating

Article Abstract:

The implementation and modification of a previously proposed unified viscoplastic constitutive model to simulate the behavior of a Yitria Stabilized Zirconia plasma sprayed thermal barrier coating is described. The results of the study concluded in a nonassociative constitutive model, which needed to prevent the large accumulation of volumetric strain during a deformation history.

Author: Xie, Wangang, Walker, Kevin P., Jordan, Eric H., Gell, Maurice
Publisher: American Society of Mechanical Engineers
Publication Name: Journal of Engineering Materials and Technology
Subject: Science and technology
ISSN: 0094-4289
Year: 2003
Usage, Protection and preservation, Zirconium oxide, Steel corrosion, Chemical properties

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Determination of interface fracture toughness in thermal barrier coating system by blister tests

Article Abstract:

The use of the theoretical model for the blister test method to analyze the interface fracture toughness of zirconia coating deposited on an SUS304 stainless steel substrate by a plasma-spraying method is detailed. Micro-observations viewed that the interfacial cracks propogates by the growth of voids or microcracks ahead of the main crack and coalescence with the main crack.

Author: Hashida, T., Zhou, Y. C., Jian, C. Y.
Publisher: American Society of Mechanical Engineers
Publication Name: Journal of Engineering Materials and Technology
Subject: Science and technology
ISSN: 0094-4289
Year: 2003
Design and construction, Engineering models

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Capability of a feed-forward artificial neural network to predict the constitutive flow behavior of as cast 304 stainless steel under hot deformation

Article Abstract:

A model to predict the constitutive flow behavior of as cast 304 stainless steel during hot deformation using artificial neural network (ANN) is developed. Result shows that resilient propagation (Rprop) algorithm performs better as compared to others and thereby considered as the most efficient algorithm for the present study.

Author: Mandal, Sumantra, Shivprasad, P.V., Venugopal, S.
Publisher: American Society of Mechanical Engineers
Publication Name: Journal of Engineering Materials and Technology
Subject: Science and technology
ISSN: 0094-4289
Year: 2007
Analysis, Neural networks, Deformations (Mechanics), Deformation, Neural network

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Subjects list: Coatings, Materials, Stainless steel, Mechanical properties, Steel, Stainless
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