Preliminary Thermal-Mechanical Sizing of a Metallic Thermal Protection System

Poteet, Carl C.; Abu-Khajeel, Hasan; Hsu, Sun-Yuen

doi:10.2514/1.9174

Cited by 52 publications

(33 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The thermal model presented in the previous section involves 13 material parameters (the specific heat C i , conductivities k i , and densities i of the TFS, BFS, web, and Saffil, as well as the emissivity " of the TFS), of which most are temperature dependent. Some of these parameters are considered fixed, including " as well as all the foam parameters (Saffil has been determined in previous studies [17,18] to be the best-suited foam for use in similar thermal protection systems). Note that the emissivity " is defined as the relative emissivity times the Stefan-Boltzmann constant.…”

Section: Determining the Minimum Number Of Parameters For The Tempmentioning

confidence: 99%

Dimensionality Reduction Approach for Response Surface Approximations: Application to Thermal Design

et al. 2009

View full text Add to dashboard Cite

Response surface approximations are a common engineering tool, often constructed based on finite element simulations. For some design problems, the finite element models can involve a large number of parameters. However, it is advantageous to construct the response surface approximations as a function of the smallest possible number of variables. The purpose of this paper is to demonstrate that a significant reduction in the number of variables needed for a response surface approximation is possible through physical reasoning, dimensional analysis, and global sensitivity analysis. This approach is demonstrated for a transient thermal problem, but we also show how it can be applied to any finite-element-based surrogate model construction. The thermal problem considered is the design of an integrated thermal protection system for spacecraft reentry for which a response surface approximation of the maximum bottom face temperature is needed. The finite element model used to evaluate the maximum temperature depended on 15 parameters of interest for the design. A small number of assumptions simplified the thermal equations, allowing easy nondimensionalization, which together with a global sensitivity analysis showed that the maximum temperature mainly depends on only two nondimensional parameters. These were selected to be the variables of the response surface approximation for maximum temperature, which was constructed using simulations from the original nonsimplified finite element model. The major error in the two-dimensional response surface approximation was found to be due to the fact that the two nondimensional variables account for only part (albeit the major part) of the dependence on the original 15 variables. This error was checked and reasonable agreement was found. The two-dimensional nature of the response surface approximations allowed graphical representation, which we used for material selection from among hundreds of possible materials for the design optimization of an integrated thermal protection system panel.

show abstract

Section: Determining the Minimum Number Of Parameters For The Tempmentioning

confidence: 99%

Dimensionality Reduction Approach for Response Surface Approximations: Application to Thermal Design

et al. 2009

View full text Add to dashboard Cite

show abstract

“…Ni-based superalloy sheets are able to be used for producing metallic thermal protection systems for Reusable Launch Vehicles [2][3][4][5] . Since the profile of the thermal protection system is a hyperboloid, the sheets prepared with traditional techniques in China couldn't meet its modeling and size demands.…”

Section: Introductionmentioning

confidence: 99%

Microstructure Evolution of Electron Beam Physical Vapour Deposited Ni-23.5Cr-2.66Co-1.44Al Superalloy Sheet During Annealing at 600 °C

Zhang

Zhong

et al. 2012

Mat. Res.

View full text Add to dashboard Cite

Microstructure evolution of electron beam physical vapour deposited (EB-PVD) Ni-23.5Cr-2.66Co-1.44Al superalloy sheet during annealing at 600 °C was investigated. The results showed that the as-deposited alloy was composed of only γ phase. After annealing at 600 °C, the locations of diffraction peaks were still the same. The (220) diffraction peak of the deposition side increased with annealing time. The sheet on deposited side had a tendency toward forming (220) texture during post-annealing. No obvious texture was observed at as-deposited and annealed sheet at 600 °C in substrate side. The count and size of "voids" decreased with time. The size of grains increased obviously with annealing time. The ultimate tensile strength of EB-PVD Ni-23.5Cr-2.66Co-1.44Al alloy sheet increased from 641 MPa to 829 MPa after annealing at 600 °C for 30 hours.

show abstract

“…Material selection for different parts of the sandwich panel is based upon previous experience with ARMOR TPS [22] and the corrugated core ITPS [3]. Inconel 718, Ti-6Al-4V titanium alloy, and aluminium 2024 alloy are used for the top-face sheet, folded core, and the bottom-face sheet respectively.…”

Section: Materials Propertiesmentioning

confidence: 99%

Thermal-Mechanical Optimization of Folded Core Sandwich Panels for Thermal Protection Systems of Space Vehicles

Zhou

Zhijin

2017

International Journal of Aerospace Engineering

View full text Add to dashboard Cite

The integrated thermal protection system (ITPS) is a complicated system that addresses both mechanical and thermal considerations. An M-pattern folded core sandwich panel packed with low-density insulation material provides inherently low mass for a potential ITPS panel. Herein, we identify the most influential geometric parameters and establish a viable, computationally efficient optimization procedure. Variables considered for optimization are geometric dimensions of the ITPS, while temperature and deflection are taken as constraints. A one-dimensional (1D) thermal model based on a modified form of the rule of mixtures was established, while a three-dimensional (3D) model was adopted for linear static analyses. Parametric models were generated to facilitate a design of experiment (DOE) study, and approximate models using radial basis functions were obtained to carry out the optimization process. Sensitivity studies were first conducted to investigate the effect of geometric parameters on the ITPS responses. Then optimizations were performed for both thermal and thermal-mechanical constraints. The results show that the simplified 1D thermal model is able to predict temperature through the ITPS thickness satisfactorily. The combined optimization strategy evidently improves the computational efficiency of the design process showing it can be used for initial design of folded core ITPS.

show abstract

Preliminary Thermal-Mechanical Sizing of a Metallic Thermal Protection System

Cited by 52 publications

References 11 publications

Dimensionality Reduction Approach for Response Surface Approximations: Application to Thermal Design

Dimensionality Reduction Approach for Response Surface Approximations: Application to Thermal Design

Microstructure Evolution of Electron Beam Physical Vapour Deposited Ni-23.5Cr-2.66Co-1.44Al Superalloy Sheet During Annealing at 600 °C

Thermal-Mechanical Optimization of Folded Core Sandwich Panels for Thermal Protection Systems of Space Vehicles

Contact Info

Product

Resources

About