Riassunto analitico
The use of numerical optimization techniques to solve design problems has become indispensable nowadays. The complex shapes used in mechanical components make it impossible to solve shape optimization problems quickly and efficiently by relying only on experience (even for the most skilled designers). Whether we are dealing with aerodynamic or mechanical designs, the task most of the time involves the modification of specific features whose shape directly determines the performance of the part. The shape optimization problem is solved numerically using CFD or FEA software, where a set of design variables is selected by parameterizing the design features present in the part. The choice of these design variables is critical because it affects the robustness, completeness, and efficiency of the subsequent optimization. The objective of this work is to develop a design methodology for solving various mechanical optimization problems using Abaqus to perform the finite element analysis and Isight to manage and create the optimization algorithms and the optimization loops. The component under study is a clutch disk used in the drivetrain of Ferrari cars, connecting the electric motor to the internal combustion engine (ICE). Variable screening is performed using DoE methods to facilitate the selection of the design variables to be used, and a combined optimization loop is chosen to solve the structural optimization problem. The obtained final solution exhibits higher structural performance, even compared to a manually optimized design developed by Ferrari.
|
