scholarly journals Knowledge-based sequence planning of shearing operations in progressive dies

2012 ◽  
Vol 50 (4) ◽  
pp. 1215-1234 ◽  
Author(s):  
Alan C. Lin ◽  
Dean K. Sheu
2006 ◽  
Vol 32 (11-12) ◽  
pp. 1232-1244 ◽  
Author(s):  
Tianyang Dong ◽  
Ruofeng Tong ◽  
Ling Zhang ◽  
Jinxiang Dong

2013 ◽  
Vol 26 (2) ◽  
pp. 347-357 ◽  
Author(s):  
M. J. Moghaddam ◽  
M. R. Soleymani ◽  
M. A. Farsi

Author(s):  
W Z Zhang ◽  
R D Jiang ◽  
B T Cheok ◽  
A Y C Nee

This paper describes an innovative approach for the design automation of progressive dies. The die design is modelled as a process to design its die functions. A template concept used to realize the die structure for a die function is proposed in the paper. A user begins by defining the geometric and stamping features of a sheet metal part. The geometric and feature information is processed and stored in a knowledge-based system. After automatic unfolding and nesting operations, the stamping process is interactively staged. Thereafter, a model-based approach takes over and generates the knowledge-based description of the die. Using special semantics to describe the die topology and assembly relations, a three-dimensional solid model of the entire die assembly is generated from the die description knowledge base. This system is able to produce three-dimensional strip layout, three-dimensional die components and assembly, and annotated two-dimensional production drawings. It significantly improves stamping die design productivity and accuracy, which is achieved through the capturing and processing of die design knowledge.


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