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Applying statistical engineering to the development of a ballistic impact flash model.

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Title: Applying statistical engineering to the development of a ballistic impact flash model.
Authors: Hill, Raymond R.1 (AUTHOR) rayrhill@gmail.com, Ahner, Darryl K.1 (AUTHOR), Morrill, Dana F.1 (AUTHOR), Talafuse, Thomas P.1 (AUTHOR), Bestard, Jaime J.2 (AUTHOR)
Source: Quality Engineering. Apr-Jun2017, Vol. 29 Issue 2, p181-189. 9p.
Subjects: Impact (Mechanics), Vulnerability model of recovery, Combat survivability (Military engineering), Ballistic missiles, Military engineering, Mathematical models
Abstract: Military aircraft must often fly in hostile environments. Missile explosions generate fragments that may impact the aircraft. These fragment impacts can penetrate the aircraft and may cause flash fires external and internal to the aircraft which may cause on-board fires. Aircraft survivability and vulnerability analyses seek to improve aircraft design to survive such flash events. These analyses have been hampered by the lack of a model of the ballistic impact flash event suitable for inclusion in the existing analytical model suite. This work defines the problem domain of interest, relates how the use of statistical engineering improved the live-fire testing and data analysis processes and recounts the development of the ballistic impact flash event model currently in use in the Joint Survivability testing and analysis domain. [ABSTRACT FROM PUBLISHER]
Copyright of Quality Engineering is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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PubType: Academic Journal
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  Data: Applying statistical engineering to the development of a ballistic impact flash model.
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  Data: <searchLink fieldCode="JN" term="%22Quality+Engineering%22">Quality Engineering</searchLink>. Apr-Jun2017, Vol. 29 Issue 2, p181-189. 9p.
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  Data: <searchLink fieldCode="DE" term="%22Impact+%28Mechanics%29%22">Impact (Mechanics)</searchLink><br /><searchLink fieldCode="DE" term="%22Vulnerability+model+of+recovery%22">Vulnerability model of recovery</searchLink><br /><searchLink fieldCode="DE" term="%22Combat+survivability+%28Military+engineering%29%22">Combat survivability (Military engineering)</searchLink><br /><searchLink fieldCode="DE" term="%22Ballistic+missiles%22">Ballistic missiles</searchLink><br /><searchLink fieldCode="DE" term="%22Military+engineering%22">Military engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink>
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  Data: Military aircraft must often fly in hostile environments. Missile explosions generate fragments that may impact the aircraft. These fragment impacts can penetrate the aircraft and may cause flash fires external and internal to the aircraft which may cause on-board fires. Aircraft survivability and vulnerability analyses seek to improve aircraft design to survive such flash events. These analyses have been hampered by the lack of a model of the ballistic impact flash event suitable for inclusion in the existing analytical model suite. This work defines the problem domain of interest, relates how the use of statistical engineering improved the live-fire testing and data analysis processes and recounts the development of the ballistic impact flash event model currently in use in the Joint Survivability testing and analysis domain. [ABSTRACT FROM PUBLISHER]
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  Label:
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  Data: <i>Copyright of Quality Engineering is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/08982112.2016.1155223
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      – Code: eng
        Text: English
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        PageCount: 9
        StartPage: 181
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        Type: general
      – SubjectFull: Vulnerability model of recovery
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      – SubjectFull: Combat survivability (Military engineering)
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      – SubjectFull: Ballistic missiles
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      – SubjectFull: Mathematical models
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              Text: Apr-Jun2017
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