Transformative Calibration Method for Prediction of Surface Heat Flux
Transformative Calibration Method for Prediction of Surface Heat Flux
批准号:
1234419
负责人:
Jay Frankel
金额:
$24.99万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-08-15 至 2016-07-31
中文摘要
CBET-1234419 PI(s):J.I. Frankel和M.田纳西大学诺克斯维尔分校(UTK)提出了一种基于深度温度测量预测表面热通量的变革性校准方法。为了减轻传感器直接暴露在恶劣环境中,通常需要对测试物品的内部位置进行仪器化。 提出了一种基于物理和数学推导的校准框架,用于研究航空航天应用中出现的各种加热条件。这项调查集成了分析和实验活动,以互补的方式验证在大的温度范围内,在各种加热情况下的逆预测的科学。校准概念大大减少了系统误差,因为它不需要探头位置,探头特性和热物理特性的规范。完整的系统表征固有地包含在所得到的校准方程中。针对数值预报的不适定性,提出了一种新的正则化方法。不适定问题对收集的数据中的噪声高度敏感。这种新的局部未来时间方法利用校准方程的行为来提取最佳预测。这种独特的特性可能是新的校准公式的结果。导出的校准方程的实验验证将使用电加热三明治设施或高功率激光设施,都保持在UTK。将研究多维和多区域几何形状;各向同性和正交各向异性材料样品,因为它们在航空航天科学中对于与高超音速飞行器外蒙皮和高超音速燃烧室表面有关的热防护系统非常重要。这项研究的重点是开发方法,可以使用深入的温度数据,以准确地预测表面热通量的材料评估和定位过渡。该项目将提供新的见解,通过综合的分析和实验方法的基础上产生的校准方程的反问题。这与将实验数据视为用于估计表面条件的数值方法的输入的传统理论形成对比。因此,所提出的概念可以扩展到一个大类或竞技场的问题,影响许多领域的物理和工程,包括火灾和燃烧科学,金属铸造,晶体生长和焊接科学。此外,几个欧洲机构将参与总体计划,说明这种方法对未来高速航空航天研究的优点和意义。
英文摘要
CBET-1234419PI(s): J.I. Frankel and M. KeyhaniUniversity of Tennessee-Knoxville (UTK)A transformative calibration methodology is proposed for predicting the surface heat flux based on in-depth temperature measurements. Instrumenting interior locations of a test article is often necessary in order to alleviate the sensor's direct exposure to a hostile environment. A physics based and mathematically derived calibration framework is proposed for studying a variety of heating conditions that appear in aerospace applications. This investigation integrates analytical and experimental activities in a complementary manner for verifying the science of inverse prediction over a large temperature range and under various heating scenarios. The calibration concept substantially reduces systematic errors since it does not require the specification of the probe position, probe characteristics, and thermophysical properties. Full system characterization is inherently contained in the resulting calibration equations. Being ill posed, a new regularization method is proposed for stabilizing the numerical predictions. Ill-posed problems are highly sensitive to noise in the collected data. This new, local-future time approach exploits the behavior of the calibration equation for extracting an optimal prediction. This unique characteristic may be a consequence of the novel calibration formulation. Experimental verification of the derived calibration equations will be performed using either an electrically heated sandwich facility or high-powered laser facility that are both maintained at UTK. Multidimensional and multi-regional geometries; and, isotropic and orthotropic material samples will be studied owing to their importance in the aerospace sciences for thermal protections systems associated with external skins of hypersonic vehicles and surfaces in hypersonic combustors. This research is focused on developing methodologies that can use in-depth temperature data to accurately predict the surface heat flux for material evaluation and locating transition. This project will provide new insight into inverse problems through an integrated analytical and experimental approach based on producing calibration equations. This contrasts the conventional doctrine that views experimental data as input to a numerical method for estimating the surface conditions. Hence, the proposed concept can be expanded to a large class or arena of problems affecting many areas of physics and engineering including fire and combustion sciences; metal casting, crystal growth, and welding sciences. Additionally, several European institutions will be involved in the overall plan indicating the merit and significance of the approach to future high-speed aerospace studies.
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