open menu

Riccardo Cenni

CAE Engineer, SACMI Imola S.C.

Riccardo Cenni hold a Master Degree in Energetic Engineering at Bologna University. He also received a PhD in Structural Optimization at Modena and Reggio Emilia University, PhD school of “High mechanics and automotive design & technology”. Since 2012 he works as CAE Engineer at Ceramic Engineering Department of SACMI Imola S.C. and his main actvities include: development of CAE design methodologies; integration of structural optimizations techniques in the design process; working on process simulation with discrete element modelling.


Multidisciplinary shape optimization of ductile iron castings by considering local microstructure and material behaviour
Industries [Manufacturing]
Sala Vulcania, Thu, 24/05/2018 - 10:50 - 11:10

During the casting process and solidification of ductile iron castings, a heterogeneous microstructure is formed throughout the casting. This distribution is highly controlled by process related factors, as chemical composition, local solidification conditions, and the geometry of the casting. Geometrical changes to the geometry of the casting thus alters the local mechanical behaviour, as well as the distribution of stresses and strains when the casting is subjected to load. In order to find an optimal geometry, e.g. with reduced weight and increased load-bearing capacity, this interdependency between geometry and local material behaviour needs to be considered and integrated into the optimization method. In this contribution, recent developments in the multidisciplinary integration of casting process simulation, solidification and microstructure modelling, microstructure-based material characterization, Finite Element Analyses (FEA) with local material behaviour and structural optimization techniques are presented and discussed. The effect and relevance of considering the local material behaviour in shape optimization of ductile iron castings is discussed and evidenced by an industrial application. It is shown that by adopting a multidisciplinary optimization approach by integration of casting simulation and local material behaviour into shape optimization, the potential of the casting process to obtain components with high performance and reliability can be enabled and utilized.

Sign in