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    Quantifying Uncertainty in Warhead Design: How Machining Uncertainty Affects Weight and Center of Mass

    Source: Journal of Verification, Validation and Uncertainty Quantification:;2021:;volume( 005 ):;issue: 004::page 041006-1
    Author:
    White, R. D.
    ,
    Fajardo, Danny
    ,
    Doolittle, Craig
    DOI: 10.1115/1.4049321
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In 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.
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      Quantifying Uncertainty in Warhead Design: How Machining Uncertainty Affects Weight and Center of Mass

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4277093
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    contributor authorWhite, R. D.
    contributor authorFajardo, Danny
    contributor authorDoolittle, Craig
    date accessioned2022-02-05T22:11:36Z
    date available2022-02-05T22:11:36Z
    date copyright1/5/2021 12:00:00 AM
    date issued2021
    identifier issn2377-2158
    identifier othervvuq_005_04_041006.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4277093
    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:;2021:;volume( 005 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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