A Genetic Algorithm Approach To The Optimization of Deep Drawing Process
Sheet metal forming is a significant manufacturing process for producing a large variety of automotive parts and aerospace parts as well as consumer products. The result of the process depends on the large number of parameters and their interdependence. With the developments in the technology the design of deep drawing is an art than science still today. The selection of various parameters is still based on trial and error methods. In this paper the authors presents a new approach to optimize the geometry parameters of circular components, process parameters as blank holder pressure and coefficient of friction. The optimization problem has been formulated with the objective of optimizing the maximum forming load required in deep drawing. Genetic algorithm is used for the optimization purpose to minimize the drawing load & Variables. Genetic Algorithm is an evolutionary algorithm widely used for most of the optimization problems. A finite element analysis simulation software fast form advanced is used for the validations of the results after optimization. The results obtained for the circular cup shows the potential interest of the proposed approach.
|Journal||International Conference on Advances in Mechanical Engineering|