Design optimization of effective modulus through variation in pore geometries of Stainless Steel 316L

Abstract

Abstract Three-dimensional finite element analyses are carried out using cubic shaped representative volume element with spherical and ellipsoidal pores. The aim of this present study is to design a metal block with targeted effective modulus of elasticity in different directions with various types of pore morphology and %porosity. Parametric study in terms of porosity percentage, number of pores, axis ratio (ratio of major to minor axis of ellipsoidal pores) and orientation angle are performed. Scaffold used for bone grafting is anisotropic in nature. Adequate selection of the parameter can define the effective moduli in X and Y directions. Design optimization is employed using genetic algorithm to achieve the required properties. Artificial neural network metamodels are developed using finite element simulated data to act as the objective functions. In present study stainless steel (316L) is considered for the analysis. However, present method can be applied in material independent way.