可重复使用的高超音速飞行器的热量和空气动力特性,传热最小化回扫

R.B. Shilwant, S. Mahulikar
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引用次数: 0

摘要

这项工作的主要目的是为前缘后掠式高超音速飞行器设计建立空气热能标准。这项研究的重点是基于后掠角($\varLambda$)的两种不同飞行器配置,即最小阻力($\varLambda$ Drag-min)和飞行器最小传热($\varLambda$ HT-min)。在 ANSYS 2020 中使用 k-epsilon 湍流模型模拟得到的最大壁面温度分别为:$\varLambda$ Drag-min 和 $\varLambda$ HT-min 时的 1,013 和 970K。利用这些温度可获得相应厚度的热保护系统,以将内壁温度保持在 323K。根据热保护系统相对于车体的厚度方向,进一步研究分为两种情况。在有效载荷容量不变的情况下,厚度方向为外侧;而在总容积不变的情况下,厚度方向为内侧。在有效载荷容积不变的情况下,热保护系统的减重百分比为 4.8%。在总容积不变的情况下,除了热保护系统重量减轻外,有效载荷能力百分比在 $\varLambda$ HT-min 时比设计时增加了 4.04%。在两种情况下,以 $\varLambda$ HT-min 进行设计的飞行器的升力诱导阻力都大大减少,分别减少了 47.68%(有效载荷体积不变)和 45.27%(总体积不变)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Aerothermal and aerodynamic characteristics of reusable hypersonic vehicles with heat transfer minimised sweepback
Establishing aerothermal criteria for swept leading-edge hypersonic vehicle design is the predominant purpose of this work. This study is focused on two different configurations of vehicles based on the swept-back angle ( $\varLambda$ ) viz. minimum drag ( $\varLambda$ Drag-min ), and minimum heat transfer to vehicle ( $\varLambda$ HT-min ). Maximum wall temperatures obtained from the simulation performed in ANSYS 2020 with the k-epsilon turbulence model are 1,013 and 970K for $\varLambda$ Drag-min and $\varLambda$ HT-min , respectively. These temperatures are used to obtain the corresponding thicknesses of thermal protection systems to maintain inner wall temperature at 323K. Further study is divided into two cases depending on the direction of thickness of thermal protection system with respect to vehicle body. For constant payload capacity, the direction of thickness is outside; whereas for constant overall volume case, direction of thickness is inside. For constant payload volume case, the percentage weight reduction of thermal protection system is 4.8%. For constant overall volume case, the percentage payload capacity increases with design at $\varLambda$ HT-min by 4.04% in addition to thermal protection system weight reduction. The lift-induced drag on vehicles with design at $\varLambda$ HT-min is significantly reduced for both cases, by 47.68% (for constant payload volume) and 45.27% (for constant overall volume).
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