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
Pages
8
From page
74
To page
81
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
Serial Year
2006
Journal title
Journal of Materials Processing Technology
Record number
1180024
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