Chapter 3: Process Development

Title: Intelligent feature based resource selection and process planning

Author(s): Samira Sadeghi, Mohsen Sadeghi, Ali Siadat, Patrick Martin, William Ziz

Address: Laboratoire de Conception, Fabrication et Commande (LCFC) Arts et Metiers ParisTech, 4 rue Augustin Fresnel, 57078 Metz Cedex 3, France | ProctonLabs, 180 Rue de Vaugirard, F-75015 Paris, France | Laboratoire de Conception, Fabrication et Commande (LCFC) Arts et Metiers ParisTech, 4 rue Augustin Fresnel, 57078 Metz Cedex 3, France | Laboratoire de Conception, Fabrication et Commande (LCFC) Arts et Metiers ParisTech, 4 rue Augustin Fresnel, 57078 Metz Cedex 3, France | ProctonLabs, 180 Rue de Vaugirard, F-75015 Paris, France

Reference: International Conference on Product Lifecycle Management 2010 pp. 133 - 145

Abstract/Summary: This paper presents an intelligent knowledge-based integrated manufacturing system using the STEP feature-based modeling and rule based intelligent techniques to generate suitable process plans for prismatic parts. The system carries out several stages of process planning, such as identification of the pairs of feature/tool that satisfy the required conditions, generation of the possible process plans from identified tools/machine pairs, and selection of the most interesting process plans considering the economical or timing indicators. The suitable processes plans are selected according to the acceptable range of quality, time and cost factors. Each process plan is represented in the tree format by the information items corresponding to their CNC machine, required tools characteristics, times (machining, setup, preparatory) and the required machining sequences. The process simulation module is provided to demonstrate the different sequences of machining. After selection of suitable 134 S. Sadeghi et al. process plan, the G-code language used by CNC machines is generated automatically. This approach is validated through a case.

Order a copy of this article