Design optimization of rigid metal containers
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abstract
Evaluating the structural capability of a food container has been viewed as a challenging task. With more powerful computer hardware and software, finite element methods are now in place for efficient and accurate assessment of axial load and paneling performances of cans. Thus, the metal container optimization problem is tackled with FEA tools. In this paper, the structure tests and numerical simulation methods are presented. The effects of design parameters on the structure performance of containers are discussed. A design optimization method is then developed based on the solution of point inclusion problem in computational geometry. The iterative planar subdivision algorithm generates the optimal design that meets the structure requirements with least material consumption. The proposed method can be used to optimize the existing and new metal containers.
