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Research Papers: Friction & Wear

A Probabilistic Model to Characterize Erosion-Oxidation Damage on Boiler Grade Steel Impacted by Solid Particle

[+] Author and Article Information
S. K. Das1

Mathematical Modeling and Simulation Division, National Metallurgical Laboratory, Jamshedpur 831007, Indiaskd@nmlindia.org

Shubha Hegde, K. M. Godiwalla, S. P. Mehrotra

Mathematical Modeling and Simulation Division, National Metallurgical Laboratory, Jamshedpur 831007, India

P. K. Dey

Metal Extraction and Forming Division, National Metallurgical Laboratory, Council of Scientific and Industrial Research, Jamshedpur 831007, India

1

Corresponding author.

J. Tribol 130(4), 041601 (Aug 04, 2008) (7 pages) doi:10.1115/1.2958080 History: Received July 09, 2007; Revised May 14, 2008; Published August 04, 2008

A probabilistic model based methodology has been applied to describe the relative rate of material loss from the steel surface subjected to simultaneous action of high temperature oxidation and mechanical erosion. Growth of the oxide scales is treated deterministically and erosion is described using an established probabilistic modeling methodology. Oxidation is described with a parabolic growth law to quantify the rate of growth of the oxide scales, namely, nickel, iron, and chromium, respectively. In consonance with the published model, erosion is treated using a probabilistic methodology as spatially random phenomena on the oxide surface. The model has been applied to predict the relative erosive loss of material as a function of time resulted as a consequence of influence oxidation on mechanical erosion in a synergetic manner.

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Copyright © 2008 by American Society of Mechanical Engineers
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Figures

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Figure 1

Validation of the model with published data for iron oxide (temperature=723K)

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Figure 2

Transient variation of dimensionless mass change at different temperatures for NiO (mass fraction of oxide constituent, fm=0.4)

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Figure 3

Transient variation of dimensionless mass change at different temperatures for NiO (mass fraction of oxide constituent, fm=0.7)

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Figure 4

Transient variation of dimensionless mass change at different temperatures for FeO (mass fraction of oxide constituent, fm=0.4)

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Figure 5

Transient variation of dimensionless mass change at different temperatures for FeO (mass fraction of oxide constituent, fm=0.7)

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Figure 6

Transient variation of dimensionless mass change at different temperatures for Cr2O3 (mass fraction of oxide constituent, fm=0.4)

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Figure 7

Transient variation of dimensionless mass change at different temperatures for Cr2O3 (mass fraction of oxide constituent, fm=0.7)

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Figure 8

Transient variation of dimensionless mass change at different mass fractions of oxide constituent for NiO (temperature=573K)

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Figure 9

Transient variation of dimensionless mass change at different mass fractions of oxide constituent for FeO (temperature=573K)

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Figure 10

Transient variation of dimensionless mass change at different mass fractions of oxide constituent for Cr2O3 (temperature=573K)

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