Knowledge based optimization of the manufacturing processes supported by numerical simulations of production chain

Abstract

The system dedicated to optimization of the manufacturing processes, used in metal forming branches, is presented in the paper. The proposed approach is based on the conventional optimization methods supported by Good Practice Guides (GPG), which represent rich engineering knowledge and are usually applied in industrial practice. Each step of optimization algorithm includes numerical simulations of analyzed manufacturing process, while the goal function is calculated regarding the 'in use' material properties allowing to minimize the number of expensive, time consuming industrial tests. It also leads to the higher efficiency of the production chain under consideration. These features result in the system which is flexible enough to face the challenges of the market and rapid development of customers requirements. Moreover, this combination guarantees that the whole presented solution is innovative and unique in the field of manufacturing support systems. Application of the developed software to optimize the flat rolling process with respect to uniformity of final material properties was selected as an example. The obtained results regarding temperature distribution in the slab are presented in the paper. Possibilities of further improvement of the system are finally drawn. © 2008 Springer-Verlag London Limited.