“…In the present work, we assume that the generic shape of an RLV is represented by a grid formed by a quadrangular and/or by a degenerated triangular panel grid. Grid points are obtained using a proprietary procedure that authors fully detailed in [23,24]. Without going into details of the shape model, we remark that the mesh arrangement over the RLV surface is obtained with no NURBS support surface: a three-dimensional parametric wireframe is created using cubic rational B-splines and used to reconstruct the computational surface grid.…”
Section: Rlv Shape Modelling and Thermal Protection System Sizing Crimentioning
confidence: 99%
“…The above considerations ensure a topologically invariant shape. In previous papers proposed by the authors [23,24], a multidisciplinary shape optimization for an RLV comprising a trajectorybased TPS sizing procedure was developed. The TPS was modeled using two insulating materials placed at different locations along the vehicle surface.…”
Section: Rlv Shape Modelling and Thermal Protection System Sizing Crimentioning
confidence: 99%
“…The previously introduced modelling procedure has been applied on a conceptual RLV shape created with the model described in Section 4 and detailed in [23,24]. The applicability of the procedure is shown for the arbitrarily chosen distribution of stick primitives that creates a morphologically adaptive TPS on two RLV shapes with different dimensions: The parameters characterizing the distribution of thickness and the materials are reported in Table 1.…”
Section: An Example Of Tps Modelling Capabilitiesmentioning
In the present paper, a modelling procedure of the thermal protection system designed for a conceptual Reusable Launch Vehicle is presented. A special parametric model, featuring a scalar field irradiated by a set of bidimensional soft objects, is developed and used to assign an almost arbitrary distribution of insulating materials over the vehicle surface. The model fully exploits the autoblending capability of soft objects and allows a rational distribution of thermal coating materials using a limited number of parameters. Applications to different conceptual vehicle configurations of an assigned thickness map, and material layout show the flexibility of the model. The model is finally integrated in the framework of a multidisciplinary analysis to perform a trajectory-based TPS sizing, subjected to fixed thermal constraints.
“…In the present work, we assume that the generic shape of an RLV is represented by a grid formed by a quadrangular and/or by a degenerated triangular panel grid. Grid points are obtained using a proprietary procedure that authors fully detailed in [23,24]. Without going into details of the shape model, we remark that the mesh arrangement over the RLV surface is obtained with no NURBS support surface: a three-dimensional parametric wireframe is created using cubic rational B-splines and used to reconstruct the computational surface grid.…”
Section: Rlv Shape Modelling and Thermal Protection System Sizing Crimentioning
confidence: 99%
“…The above considerations ensure a topologically invariant shape. In previous papers proposed by the authors [23,24], a multidisciplinary shape optimization for an RLV comprising a trajectorybased TPS sizing procedure was developed. The TPS was modeled using two insulating materials placed at different locations along the vehicle surface.…”
Section: Rlv Shape Modelling and Thermal Protection System Sizing Crimentioning
confidence: 99%
“…The previously introduced modelling procedure has been applied on a conceptual RLV shape created with the model described in Section 4 and detailed in [23,24]. The applicability of the procedure is shown for the arbitrarily chosen distribution of stick primitives that creates a morphologically adaptive TPS on two RLV shapes with different dimensions: The parameters characterizing the distribution of thickness and the materials are reported in Table 1.…”
Section: An Example Of Tps Modelling Capabilitiesmentioning
In the present paper, a modelling procedure of the thermal protection system designed for a conceptual Reusable Launch Vehicle is presented. A special parametric model, featuring a scalar field irradiated by a set of bidimensional soft objects, is developed and used to assign an almost arbitrary distribution of insulating materials over the vehicle surface. The model fully exploits the autoblending capability of soft objects and allows a rational distribution of thermal coating materials using a limited number of parameters. Applications to different conceptual vehicle configurations of an assigned thickness map, and material layout show the flexibility of the model. The model is finally integrated in the framework of a multidisciplinary analysis to perform a trajectory-based TPS sizing, subjected to fixed thermal constraints.
“…A generic shape of an RLV is represented by a grid formed by a quadrangular and/or by either degenerated triangular panel grid. Grid points are obtained using a proprietary procedure that authors fully detailed in [20,21]. Without going into details of the shape model, we remark that the mesh arrangement over the RLV surface is obtained with no NURBS support surface: a three-dimensional parametric wireframe is created using cubic rational B-splines [22] and used to reconstruct computational surface grid.…”
Section: Rlv Shape Modelingmentioning
confidence: 99%
“…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.…”
The present paper deals with a modeling procedure of a thermal protection system (TPS) designed for a conceptual reusable launch vehicle (RLV). A novel parametric model based on a scalar field created by a set of soft object primitives is used to assign an almost arbitrary seamless distribution of insulating materials over the vehicle surface. Macroaggregates of soft objects are created using suitable geometric supports allowing a distribution of coating materials using a limited number of parameters. Applications to different conceptual vehicle configurations of an assigned thickness map and materials layout show the flexibility of the model.
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