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University of Tennessee at Chattanooga

Advances in high-speed store separation for upward-ejected stores and dynamic cavity doors

Abstract

dc:description.abstract

As technology continues to evolve for aircraft-deployed weapons, computational approaches to store separation analysis face new challenges. Anticipating vehicle designs that require upward store ejection, this study uses computational fluid dynamics and 6DoF motion analysis to predict such store trajectories in high-speed flow. Several store designs are analyzed at various ejection velocities in Mach 4 and Mach 6 conditions. The trajectory results show that streamlined store geometries may not induce sufficient drag to clear the aircraft after ejection. However, store designs with drag-enhancing features show potential for safe separation trajectories. To account for the unsteady effects of a cavity door which opens just prior to store ejection, dynamic cavity door simulations are presented, comparing their results to a quasi-static approach. The results show that such cavity opening effects impact pressure loads on the store, which may be critical for accurate store trajectory predictions.

Degree

thesis:*
Grantor dc:publisher
University of Tennessee at Chattanooga

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Wolfe, Timothy
Contributors dc:contributor
  • Sreenivas, Kidambi
  • Margraves, Charles; Newman, James C., III
  • College of Engineering and Computer Science

Subjects

dc:subject × 2

Rights

dc:rights
Language dc:language
English, eng

Identifiers

dc:identifier.*
Repository record dc:identifier
https://scholar.utc.edu/theses/850
OAI identifier oai:identifier
oai:scholar.utc.edu:theses-2027

Chain of custody

source
Harvested from
University of Tennessee - Chattanooga
Base URL
scholar.utc.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Wolfe, Timothy. Advances in high-speed store separation for upward-ejected stores and dynamic cavity doors. University of Tennessee at Chattanooga, https://scholar.utc.edu/theses/850