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contributor authorFezi, Kyle
contributor authorKrane, Matthew John M.
date accessioned2017-11-25T07:16:56Z
date available2017-11-25T07:16:56Z
date copyright2017/19/4
date issued2017
identifier issn0022-1481
identifier otherht_139_08_082301.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4234301
description abstractNumerical simulations of metal alloy solidification are used to gain insight into physical phenomena that cannot be observed experimentally. These models produce results that are used to draw conclusions about a process or alloy and often compared to experimental results. However, uncertainty in model inputs cause uncertainty in model results, which have the potential to significantly affect conclusions drawn from their predictions. As a step toward understanding the effect of uncertain inputs on solidification modeling, uncertainty quantification (UQ) and sensitivity analysis are performed on a transient model of solidification of Al–4.5 wt % Cu in a rectangular cavity. The binary alloy considered has columnar solidification morphology, and this model solves equations for momentum, temperature, and species conservation. UQ and sensitivity analysis are performed for the degree of macrosegregation and solidification time. A Smolyak sparse grid algorithm is used to select input values to construct a polynomial response surface fit to model outputs. This polynomial is then used as a surrogate for the complete solidification model to determine the sensitivities and probability density functions (PDFs) of the model outputs. Uncertain model inputs of interest include the secondary dendrite arm spacing (SDAS), heat transfer coefficient, and material properties. The most influential input parameter for predicting the macrosegregation level is the dendrite arm spacing, which also strongly depends on the choice of permeability model. Additionally, the degree of uncertainty required to produce accurate predictions depends on the outputs of interest from the model.
publisherThe American Society of Mechanical Engineers (ASME)
titleUncertainty Quantification in Modeling Metal Alloy Solidification
typeJournal Paper
journal volume139
journal issue8
journal titleJournal of Heat Transfer
identifier doi10.1115/1.4036280
journal fristpage82301
journal lastpage082301-12
treeJournal of Heat Transfer:;2017:;volume( 139 ):;issue: 008
contenttypeFulltext


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