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dc.contributor.authorWhite, R. D.
dc.contributor.authorFajardo, Danny
dc.contributor.authorDoolittle, Craig
dc.date.accessioned2022-02-05T22:11:36Z
dc.date.available2022-02-05T22:11:36Z
dc.date.copyright1/5/2021 12:00:00 AM
dc.date.issued2021
dc.identifier.issn2377-2158
dc.identifier.othervvuq_005_04_041006.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4277093
dc.description.abstractIn this work, we explore how uncertainty in component dimensions affects final product tolerances for warheads. We focus on quantifying uncertainties arising from the machining process and examine how they influence the final weight and center of mass (COM). We begin by deriving analytical forms for the quantities of interest (QoI) based on the fundamentals of three-dimensional integration. The input parameter space is then characterized by assumed statistical distributions, determined by knowledge of the machining process. From here, a Monte Carlo (MC) approach is implemented using matlab's ndgrid to determine resulting distributions on the QoI. In doing so, we show the likelihood of meeting final product requirements, based on our knowledge of uncertainties in the warhead components. This technique is presented in a general form to provide a tool for quantifying uncertainty for warheads of varying geometries.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleQuantifying Uncertainty in Warhead Design: How Machining Uncertainty Affects Weight and Center of Mass
dc.typeJournal Paper
dc.journal.volume5
dc.journal.issue4
dc.journal.titleJournal of Verification, Validation and Uncertainty Quantification
dc.identifier.doi10.1115/1.4049321
dc.journal.fristpage041006-1
dc.journal.lastpage041006-8
dc.page8
dc.treeJournal of Verification, Validation and Uncertainty Quantification:;2021:;volume( 005 ):;issue: 004
dc.contenttypeFulltext


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