Revisiting slug calorimeters for hypersonics
Revisiting slug calorimeters for hypersonics
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DOI：
10.1016/j.ast.2020.105869
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发表时间：
2020-07
影响因子：
5.6
通讯作者：
J. Frankel;K. Ekici
中科院分区：
文献类型：
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作者：
J. Frankel;K. Ekici
本文描述了开发高精度多层段塞热量计的第一步，该热量计用于估算与高超音速地面测试活动相关的高焓流中的表面热通量。弹条几何形状、材料选择、测试条件、制造方法、数学建模和仪器选择必须集成到设计过程中，以获得所需的精度结果。积分常常被忽视，而不是简化的数据简化方程，这些方程将深入的温度测量与所需的表面热通量联系起来。简化模型通常存在物理缺陷，并可能导致误导性的解释。本文说明了在得出热通量计数据简化方程时进行包容性建模的必要性。本文强调了几个重要结果，包括： (a) 识别数据缩减模型差异； (b) Volterra 积分公式对于算法开发的重要性； (c) 实现在低通滤波的数据缩减模型上运行的无参数预处理器； (d) 开发不确定性传播的近似线程； (e) 通过未来时间方法实现稳定； (f) 通过相平面和互相关概念提取最佳正则化参数，以估计“最佳”热通量。
This paper describes the first steps toward developing a highly-accurate multi-layered slug calorimeter for estimating the surface heat flux in high-enthalpy flows associated with hypersonic ground test campaigns. Slug geometry, material choices, test conditions, manufacturing method, mathematical modeling and instrumentation selection must be integrated into the design process in order to achieve the desired accuracy outcome. Integration is often overlooked in lieu of simplified data reduction equations that relate in-depth temperature measurements to the desired surface heat flux. Simplified models are often physics deficient and can lead to misleading interpretations. This paper illustrates the need for inclusive modeling in arriving at the data reduction equation for the heat flux gauge. Several important results are highlighted in this paper including the: (a) identification of data reduction model discrepancies; (b) significance of Volterra integral formulations for algorithm development; (c) implementation of a parameter-free preconditioner operated on data reduction model for low-pass filtering; (d) development of the approximation thread for uncertainty propagation; (e) achievement of stability through the future-time method; and, (f) extraction of the optimal regularization parameter through phase-plane and cross-correlation concepts for estimating the “best” heat flux.