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FORCE TESTS OF A SLOTTED SEMISPAN DELTA WING MODEL AT HYPERSONIC MACH NUMBERS

Glenn H. Merz

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Abstract

Abstract : Tests were conducted to determine the effect of slots on the aerodynamic characteristics of a semispan 70-deg swept delta wing. The purpose of the slots was to reduce the model viscous drag by bleeding off the windward surface boundary layer. Data were obtained at nominal Mach numbers of 6 and 10 at free-stream Reynolds numbers, based on wing root chord, of 15,200,000 and 6, 400,000 and angles of attack from -2 to 14-deg. Selected test results are presented and illustrate that the effects of the slots and Reynolds number variation were small.

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What this paper is about

Abstract : Tests were conducted to determine the effect of slots on the aerodynamic characteristics of a semispan 70-deg swept delta wing. The purpose of the slots was to reduce the model viscous drag by bleeding off the windward surface boundary layer. Data were obtained at nominal Mach numbers of 6 and 10 at free-stream Reynolds numbers, based on wing root chord, of 15,200,000 and 6, 400,000 and angles of attack from -2 to 14-deg. Selected test results are presented and illustrate that the effects of the slots and Reynolds number variation were small.

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Available abstract

Abstract : Tests were conducted to determine the effect of slots on the aerodynamic characteristics of a semispan 70-deg swept delta wing. The purpose of the slots was to reduce the model viscous drag by bleeding off the windward surface boundary layer. Data were obtained at nominal Mach numbers of 6 and 10 at free-stream Reynolds numbers, based on wing root chord, of 15,200,000 and 6, 400,000 and angles of attack from -2 to 14-deg. Selected test results are presented and illustrate that the effects of the slots and Reynolds number variation were small.

Key concepts: Mach number, Hypersonic speed, Delta wing, Wing, Aerospace engineering, Mechanics, Aeronautics, Physics

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FORCE TESTS OF A SLOTTED SEMISPAN DELTA WING MODEL AT HYPERSONIC MACH NUMBERS — Research Paper | ScholarLens