Luca Fattore - Academia.edu (original) (raw)
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Papers by Luca Fattore
Product development engineers often use simulation to evaluate the performance of a single design... more Product development engineers often use simulation to evaluate the performance of a single design a part or a system characterized by a specific CAD representation, specific input data, and materials properties. Simple parametric analyses and "what-if?" studies are frequently performed in order to try to improve the design. However, the use of automated optimization and Design-Of-Experiments techniques that allow efficient scientific exploration of the whole Design Space to establish the correlation between the various parameters and to identify optimal solutions is instead less frequent, especially when complex CAD models and various CAE tools are involved. This paper is focused on CAD and CAE workflow integration for the design of a Gas Turbine vane. The model of the complete process, implemented in the SEE-Fiper environment and involving all the calculation tools, is described. The goal of the project is to explore the Design Space using a DOE analysis to identify an op...
Origami is the art of paper folding. Our entire range of packages is formed from a flat web of pa... more Origami is the art of paper folding. Our entire range of packages is formed from a flat web of packaging material using the origami technique. Virtual and reverse engineering are fundamental for the development of our technology. Complex simulations like extremely nonlinear dynamic events as well as design optimization are part of our daily activity. This paper describes how Simulia's software with the help of automated tools has been successfully used to simulate the fundamental phases of our forming process driving in some cases its design.
Volume 6: Turbomachinery, Parts A and B, 2006
ABSTRACT In modern aerospace engineering design context one of the most important task is managin... more ABSTRACT In modern aerospace engineering design context one of the most important task is managing and simulate properly the effect of uncertainties on the response and performance of the system. In fact real engineering problems are characterised by random variations of material property, variation of loading conditions, manufacturing tolerances, etc. Different approaches have been developed by the research community to address uncertainties; while reliability methods primarily deal with probability of constraint satisfaction or violation, robust design methods have focused on the variation of system responses due to design parameters random variation. In this paper a robust design (RD) analysis of gas-turbine casing is performed in order to estimate how much uncertainties affect the life of the component. The RD analysis is performed in a multidisciplinary environment since the casing is subjected to thermo-mechanical loads. First thermal steady-state analysis has been performed changing randomly the boundary conditions (heat transfer coefficient and air temperature) and the temperature distribution on the casing is calculated. Then the structural analysis is performed changing geometrical dimensions on the base of defined tolerances and process capability. The result of the Monte Carlo analysis is a statistic distribution of the stress in the critical locations. This information is used to estimate the statistic distribution of the life in each critical location. The obtained result consents to evaluate the risk that some critical location exceeds the life margin limit.
Product development engineers often use simulation to evaluate the performance of a single design... more Product development engineers often use simulation to evaluate the performance of a single design a part or a system characterized by a specific CAD representation, specific input data, and materials properties. Simple parametric analyses and "what-if?" studies are frequently performed in order to try to improve the design. However, the use of automated optimization and Design-Of-Experiments techniques that allow efficient scientific exploration of the whole Design Space to establish the correlation between the various parameters and to identify optimal solutions is instead less frequent, especially when complex CAD models and various CAE tools are involved. This paper is focused on CAD and CAE workflow integration for the design of a Gas Turbine vane. The model of the complete process, implemented in the SEE-Fiper environment and involving all the calculation tools, is described. The goal of the project is to explore the Design Space using a DOE analysis to identify an op...
Origami is the art of paper folding. Our entire range of packages is formed from a flat web of pa... more Origami is the art of paper folding. Our entire range of packages is formed from a flat web of packaging material using the origami technique. Virtual and reverse engineering are fundamental for the development of our technology. Complex simulations like extremely nonlinear dynamic events as well as design optimization are part of our daily activity. This paper describes how Simulia's software with the help of automated tools has been successfully used to simulate the fundamental phases of our forming process driving in some cases its design.
Volume 6: Turbomachinery, Parts A and B, 2006
ABSTRACT In modern aerospace engineering design context one of the most important task is managin... more ABSTRACT In modern aerospace engineering design context one of the most important task is managing and simulate properly the effect of uncertainties on the response and performance of the system. In fact real engineering problems are characterised by random variations of material property, variation of loading conditions, manufacturing tolerances, etc. Different approaches have been developed by the research community to address uncertainties; while reliability methods primarily deal with probability of constraint satisfaction or violation, robust design methods have focused on the variation of system responses due to design parameters random variation. In this paper a robust design (RD) analysis of gas-turbine casing is performed in order to estimate how much uncertainties affect the life of the component. The RD analysis is performed in a multidisciplinary environment since the casing is subjected to thermo-mechanical loads. First thermal steady-state analysis has been performed changing randomly the boundary conditions (heat transfer coefficient and air temperature) and the temperature distribution on the casing is calculated. Then the structural analysis is performed changing geometrical dimensions on the base of defined tolerances and process capability. The result of the Monte Carlo analysis is a statistic distribution of the stress in the critical locations. This information is used to estimate the statistic distribution of the life in each critical location. The obtained result consents to evaluate the risk that some critical location exceeds the life margin limit.