Bottom Shape Optimization of Two-piece Aluminum Beverage Bottle by Multilevel Optimization Method

Abstract

The design variable progressive optimization method, a kind of multilevel optimization based on RSA, was applied to optimize the shape of two-piece resealable aluminum beverage bottle bottoms. On the basis of sensitivity analyses, the most effective dimensions are selected as design variables in the first stage of design optimization, while the dimensions with relatively small influences are optimized in the secondary stage. In the design optimization of the bottom, the column strengh was maximized, the bulge strength was restricted to fall into a range, and the maximum bottom growth and the axial displacement of sidewall were constrained.