A methodology is developed for fatigue driven shape optimization of industrial mechanical components by means of mesh morphing. The methodology is integrated in commercial software platforms to increase its productivity and performance in industrial applications. It is well known that shape optimization is a way to improve the structural performance of components, yet it is mostly applied to linear elastic load cases. The idea of including fatigue analysis into the optimization process is of great interest for mechanical components design. Tools based on parametric geometries are becoming standard for fine-tuning optimization processes in industry. These tools can handle multiaxial fatigue analysis, but they are limited by difficulties in maintaining geometry coherence. The use of finite element models in place of parametric geometries results in a faster and more flexible methodology. In fact, mesh morphing avoids geometry coherence problems and the need of re-meshing. The aim of this work is the integration of mesh morphing and multiaxial fatigue in the context of shape optimization. A tool for achieving this was created and is presented here together with its application to part of a cast iron component subject to multi-axial high-cycle fatigue. The results obtained with the proposed methodology are closer to the industrial needs than those that can be obtained from shape optimization based on structure stiffness alone.

Mesh morphing and fatigue analysis integration: A way to increase the industrial productivity and performance with shape optimization / Cenni, Riccardo; Cova, M.; Baldini, Andrea; Cavazzuti, Marco. - (2014), pp. 2502-2512. ((Intervento presentato al convegno 1st International Conference on Engineering and Applied Sciences Optimization, OPT-i 2014 tenutosi a grc nel 2014.

Mesh morphing and fatigue analysis integration: A way to increase the industrial productivity and performance with shape optimization

CENNI, RICCARDO;BALDINI, Andrea;CAVAZZUTI, Marco
2014

Abstract

A methodology is developed for fatigue driven shape optimization of industrial mechanical components by means of mesh morphing. The methodology is integrated in commercial software platforms to increase its productivity and performance in industrial applications. It is well known that shape optimization is a way to improve the structural performance of components, yet it is mostly applied to linear elastic load cases. The idea of including fatigue analysis into the optimization process is of great interest for mechanical components design. Tools based on parametric geometries are becoming standard for fine-tuning optimization processes in industry. These tools can handle multiaxial fatigue analysis, but they are limited by difficulties in maintaining geometry coherence. The use of finite element models in place of parametric geometries results in a faster and more flexible methodology. In fact, mesh morphing avoids geometry coherence problems and the need of re-meshing. The aim of this work is the integration of mesh morphing and multiaxial fatigue in the context of shape optimization. A tool for achieving this was created and is presented here together with its application to part of a cast iron component subject to multi-axial high-cycle fatigue. The results obtained with the proposed methodology are closer to the industrial needs than those that can be obtained from shape optimization based on structure stiffness alone.
1st International Conference on Engineering and Applied Sciences Optimization, OPT-i 2014
grc
2014
2502
2512
Cenni, Riccardo; Cova, M.; Baldini, Andrea; Cavazzuti, Marco
Mesh morphing and fatigue analysis integration: A way to increase the industrial productivity and performance with shape optimization / Cenni, Riccardo; Cova, M.; Baldini, Andrea; Cavazzuti, Marco. - (2014), pp. 2502-2512. ((Intervento presentato al convegno 1st International Conference on Engineering and Applied Sciences Optimization, OPT-i 2014 tenutosi a grc nel 2014.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11380/1130194
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