Radial basis functions (RBF) mesh morphing is a well established approach to quickly update an existing finite element analysis (FEA) mesh so that new shapes can be adapted and related performances explored. The RBF in fact allow to adapt the volume mesh maintaining a good quality even for substantial changes of the shape. New shapes imposed at FEA domain borders can be controlled by direct parameters (mesh based or CAD based) or by deformation fields resulting from the physics. In this paper we explore how the last approach can be exploited according to two different strategies: the biological growth method (BGM), which consists in adding/removing material according to the local stress at surface, the adjoint method, which consists in moving inward outward the surface according to the surface sensitivities. The FEA solver ANSYS®R MechanicalTM in combination with the mesh morphing software RBF MorphTM was adopted for this purpose. The BGM implementation is the one implemented in RBF Morph, the adjoint solver is the one implemented in the topological optimisation tool by ANSYS. Automatic shape sculpting applications are demonstrated on a simple geometry, a thick plate with simple load conditions, and on an industrial part.

Porziani, S., Groth, C., Mancini, L., Cenni, R., Cova, M., Biancolini, M.e. (2019). Optimisation of industrial parts by mesh morphing enabled automatic shape sculpting. In AIAS 2019 International Conference on Stress Analysis (pp.724-737). Elsevier [10.1016/j.prostr.2020.02.064].

Optimisation of industrial parts by mesh morphing enabled automatic shape sculpting

Groth Corrado;Biancolini Marco Evangelos
2019-01-01

Abstract

Radial basis functions (RBF) mesh morphing is a well established approach to quickly update an existing finite element analysis (FEA) mesh so that new shapes can be adapted and related performances explored. The RBF in fact allow to adapt the volume mesh maintaining a good quality even for substantial changes of the shape. New shapes imposed at FEA domain borders can be controlled by direct parameters (mesh based or CAD based) or by deformation fields resulting from the physics. In this paper we explore how the last approach can be exploited according to two different strategies: the biological growth method (BGM), which consists in adding/removing material according to the local stress at surface, the adjoint method, which consists in moving inward outward the surface according to the surface sensitivities. The FEA solver ANSYS®R MechanicalTM in combination with the mesh morphing software RBF MorphTM was adopted for this purpose. The BGM implementation is the one implemented in RBF Morph, the adjoint solver is the one implemented in the topological optimisation tool by ANSYS. Automatic shape sculpting applications are demonstrated on a simple geometry, a thick plate with simple load conditions, and on an industrial part.
48th International Conference on Stress Analysis, AIAS 2019
Perugia; Italy
2019
Rilevanza internazionale
contributo
2019
Settore ING-IND/14 - PROGETTAZIONE MECCANICA E COSTRUZIONE DI MACCHINE
English
Biological Growth Method; FEA; Mesh morphing; RBF; Structural automatic optimisation
Intervento a convegno
Porziani, S., Groth, C., Mancini, L., Cenni, R., Cova, M., Biancolini, M.e. (2019). Optimisation of industrial parts by mesh morphing enabled automatic shape sculpting. In AIAS 2019 International Conference on Stress Analysis (pp.724-737). Elsevier [10.1016/j.prostr.2020.02.064].
Porziani, S; Groth, C; Mancini, L; Cenni, R; Cova, M; Biancolini, Me
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/249969
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