Quantification of uncertainties in grain size predictions of a microstructure-based flow stress model and application to gear wheel forging

For reliable process design, full knowledge of the possible spread of the predicted target values such as grain size is desirable. In real production the spread of final product properties is caused by uncertainties in the processing conditions and the material behavior. This paper proposes a strate...

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Bibliographic Details
Published inCIRP annals Vol. 62; no. 1; pp. 287 - 290
Main Authors Henke, T., Bambach, M., Hirt, G.
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 2013
Subjects
Deviation
Forging simulation
Grain size
Mathematical models
Microstructure
Skewed distributions
Spreads
Strategy
Uncertainty
Yield strength
Microstructure
Uncertainty
Forging simulation
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Summary:For reliable process design, full knowledge of the possible spread of the predicted target values such as grain size is desirable. In real production the spread of final product properties is caused by uncertainties in the processing conditions and the material behavior. This paper proposes a strategy which allows for incorporating the material behaviors uncertainties in a microstructure model. This model is applied to the design of a hot-forging process. It is shown that the probability distribution of the grain size value is asymmetric and predicts occurrences of grain sizes with a large deviation from the most probable grain size.
Bibliography:ObjectType-Article-2
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content type line 23
ISSN:0007-8506
DOI:10.1016/j.cirp.2013.03.121