Title of article :
Feature based integrated intelligent sequence design for cold extrusion
Author/Authors :
X.Q. Zhang ، نويسنده , , Y.H. Peng، نويسنده , , X.Y Ruan، نويسنده , , K. Yamazaki، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2006
Abstract :
This paper introduces the intelligent sequence design system of multi-stage cold extrusion. It discusses the method to build the part feature modeling and to realize feasibility checking, process planning and evaluation, process parameter optimization and sequence optimal selection, mainly focuses on the feature modeling and system implementation strategy. According to the given input data, the system can generate the forgeable geometry and the basic sequence design and evaluates the sequences, depending on the initial billet size and material or the evaluation knowledge in the knowledge base. An example proves the proposed theory and method.
Keywords :
Relative process cost , Micro genetic algorithm , Cold extrusion , Artificial neural network , CAD/CAPP/CAE
Journal title :
Journal of Materials Processing Technology
Journal title :
Journal of Materials Processing Technology