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contributor authorColeman, J.
contributor authorPlotkowski, A.
contributor authorStump, B.
contributor authorRaghavan, N.
contributor authorSabau, A. S.
contributor authorKrane, M. J. M.
contributor authorHeigel, J.
contributor authorRicker, R. E.
contributor authorLevine, L.
contributor authorBabu, S. S.
date accessioned2022-02-04T22:07:41Z
date available2022-02-04T22:07:41Z
date copyright10/5/2020 12:00:00 AM
date issued2020
identifier issn0022-1481
identifier otherjcise_21_1_011008.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4274931
description abstractTo understand the process-microstructure relationships in additive manufacturing (AM), it is necessary to predict the solidification characteristics in the melt pool. This study investigates the influence of Marangoni driven fluid flow on the predicted melt pool geometry and solidification conditions using a continuum finite volume model. A calibrated laser absorptivity was determined by comparing the model predictions (neglecting fluid flow) against melt pool dimensions obtained from single laser melt experiments on a nickel super alloy 625 (IN625) plate. Using this calibrated efficiency, predicted melt pool geometries agree well with experiments across a range of process conditions. When fluid mechanics is considered, a surface tension gradient recommended for IN625 tends to overpredict the influence of convective heat transfer, but the use of an intermediate value reported from experimental measurements of a similar nickel super alloy produces excellent experimental agreement. Despite its significant effect on the melt pool geometry predictions, fluid flow was found to have a small effect on the predicted solidification conditions compared to processing conditions. This result suggests that under certain circumstances, a model only considering conductive heat transfer is sufficient for approximating process-microstructure relationships in laser AM. Extending the model to multiple laser passes further showed that fluid flow also has a small effect on the solidification conditions compared to the transient variations in the process. Limitations of the current model and areas of improvement, including uncertainties associated with the phenomenological model inputs are discussed.
publisherThe American Society of Mechanical Engineers (ASME)
titleSensitivity of Thermal Predictions to Uncertain Surface Tension Data in Laser Additive Manufacturing
typeJournal Paper
journal volume142
journal issue12
journal titleJournal of Heat Transfer
identifier doi10.1115/1.4047916
journal fristpage0122201-1
journal lastpage0122201-10
page10
treeJournal of Heat Transfer:;2020:;volume( 142 ):;issue: 012
contenttypeFulltext


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