Optimizing The Design Variables In Deep Drawing Process For Automotive Component Using Genetic Algorithm”
Sheet metal forming is a significant manufacturing process for producing a large variety of automotive parts and aerospace parts as well as consumer products. Deep drawing is a compression tension forming process involving wide spectrum of operations and flow conditions. 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 .It depends on the knowledge and experience of the design engineer. The selection of various parameters is still based on trial and error methods. In this paper the authors present the new approach to optimize the geometry parameters of circular components, process parameters such 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. A finite element analysis simulation software fastform advanced is used for the validation of the results after optimization.
|Journal||International Conference on Production and Industrial Engineering [CPIE-2007]|