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contributor authorWhite, R. D.
contributor authorFajardo, Danny
contributor authorDoolittle, Craig
date accessioned2022-02-04T23:03:21Z
date available2022-02-04T23:03:21Z
date copyright12/1/2020 12:00:00 AM
date issued2020
identifier issn2377-2158
identifier othervvuq_005_04_041006.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4276005
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.
publisherThe American Society of Mechanical Engineers (ASME)
titleQuantifying Uncertainty in Warhead Design: How Machining Uncertainty Affects Weight and Center of Mass
typeJournal Paper
journal volume5
journal issue4
journal titleJournal of Verification, Validation and Uncertainty Quantification
identifier doi10.1115/1.4049321
journal fristpage041006-1
journal lastpage041006-8
page8
treeJournal of Verification, Validation and Uncertainty Quantification:;2020:;volume( 005 ):;issue: 004
contenttypeFulltext


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