6. TPS modeling capabilities

The previously introduced modeling procedure has been applied on a conceptual RLV shape created with the model described in Section 4 and detailed in [20, 21]. Figure 6 shows a topological map obtained for an arbitrarily chosen distribution of stick primitives.

A local thickness is assigned on the nose, the leading edge, and the trailing edge. The topological map shown in Figure 6 creates a morphologically adaptive TPS on two RLV shapes with different dimensions: (RLV-1) with length ltot = 9.8 m, wingspan ws = 5.6 m, cabin height h = 1.6 m, and (RLV-2) with length ltot = 15 m, wingspan ws = 9.2 m, and cabin height h = 2 m. The parameters characterizing the distribution of thickness and of the materials are reported in Table 1. Figure 7a, b shows the application of TPS modeling over the first configuration (RLV-1), on leeward (a) and windward (b) surface, respectively. Different colors denote different values of thickness and are represented in a dimensional scale.

Parametric Integral Soft Objects-based Procedure for Thermal Protection System Modeling… DOI: http://dx.doi.org/10.5772/intechopen.85603

Figure 6. Topological map created to represent TPS thickness on different RLV configurations.

Figure 7.

Example of thickness and material distribution over RLV configuration (RLV-1): (a, b) thickness modulation [m]; (c, d) two material map (red/blue color indicates material 1/0, respectively).

with normalized parameters reported in Table 1.

min, ad 0.07 th'

min, ad 0.132 th"

Parameters adopted in the modeling of TPS configurations of Figures 7 and 8.

The previously introduced modeling procedure has been applied on a conceptual RLV shape created with the model described in Section 4 and detailed in [20, 21]. Figure 6 shows a topological map obtained for an arbitrarily chosen distribution of

max, ad 0.12

max, ad 0.25

Parameter Value Parameter Value st1, ad 0 mt1, ad 1 st2, ad 0.01 mt2, ad 0.01 st3, ad 0.05 mt3, ad 0.05 st4, ad 1 mt4, ad 1 st5, ad 0.8 mt5, ad 0.8 lt1, ad 1 mlt1, ad 1 lt2, ad 0.1 mlt2, ad 0.1 lt3, ad 1 mlt3, ad 1 lt4, ad 1 mlt4, ad 1.2 lt5, ad 1 mlt5, ad 1 pt1, ad 1 \_ \_ pt2, ad 0.2 \_ \_ pt3, ad 0.5 \_ \_ pt4, ad 0.2 \_ \_ pt5, ad 0.6 \_ \_ d1min, ad 0.5 d1max, ad 1 d2inin, ad 0.01 d2max, ad 0.3 d3min, ad 0.09 d3max, ad 1 d4min, ad 0.1 d4max, ad 0.5 d5min, ad 0.02 d5max, ad 0.5

Hypersonic Vehicles - Past, Present and Future Developments

A local thickness is assigned on the nose, the leading edge, and the trailing edge. The topological map shown in Figure 6 creates a morphologically adaptive TPS on two RLV shapes with different dimensions: (RLV-1) with length ltot = 9.8 m, wingspan ws = 5.6 m, cabin height h = 1.6 m, and (RLV-2) with length ltot = 15 m, wingspan ws = 9.2 m, and cabin height h = 2 m. The parameters characterizing the distribution of thickness and of the materials are reported in Table 1. Figure 7a, b shows the application of TPS modeling over the first configuration (RLV-1), on leeward (a) and windward (b) surface, respectively. Different colors denote differ-

ent values of thickness and are represented in a dimensional scale.

6. TPS modeling capabilities

stick primitives.

24

th'

th"

Table 1.

modeling procedure suggest that the present methodology can give support to a multidisciplinary analysis optionally included in a conceptual design framework. Further developments of the considered procedure are about to be integrated in a

Parametric Integral Soft Objects-based Procedure for Thermal Protection System Modeling…

This work was supported by the Universitá della Campania: "Luigi Vanvitelli."

The authors declare that there is no conflict of interest regarding the publication

companion paper by the authors [23].

DOI: http://dx.doi.org/10.5772/intechopen.85603

Acknowledgements

Conflict of interest

of this chapter.

Author details

Aversa, Italy

27

Andrea Aprovitola, Luigi Iuspa and Antonio Viviani\*

provided the original work is properly cited.

\*Address all correspondence to: antonio.viviani@unicampania.it

Department of Engineering, Università degli Studi della Campania "L. Vanvitelli",

© 2019 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium,

Figure 8.

Example of thickness and material distribution over RLV configuration (RLV-2): (a, b) thickness modulation [m]; (c, d) two material map (red/blue color indicates material 1/0, respectively).

It can be observed that the thickness map can be easily tuned up for best covering of regions where maximum heat loads occur (i.e., the nose and leading edge). Figure 7 shows the capability to create arbitrary seamless thickness distribution up to the value of the baseline thickness which has been arbitrarily set equal to thmin = 0.05 m (denoted in blue color). This corresponds to a region of the leeward surface not covered by the skin stick. Figure 7c, d shows the map of two different insulating materials created with Eq. (7). Red colors indicate material 1, which is placed on regions of the vehicle subjected to higher heat loads. Comparisons between Figure 7a, b and Figure 7c, d also exhibit the capability of the model to handle independently both the thickness and material distribution. Finally, Figure 8a, b and Figure 8c, d show the same blob distribution adopted either for thickness or material modeling applied on a different RLV configuration (RLV-2). The procedure creates, as it was expected, the same TPS distribution both for thickness or materials on two different shapes and is completely independent by their morphology.
