Insert design automation for progressive dies

2005 ◽  
Vol 28 (3-4) ◽  
pp. 279-285 ◽  
Author(s):  
R.D. Jiang ◽  
B.T. Lauw ◽  
A.Y.C. Nee
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.


2013 ◽  
Vol 1 (1) ◽  
pp. 158-178
Author(s):  
Urcun John Tanik

Cyberphysical system design automation utilizing knowledge based engineering techniques with globally networked knowledge bases can tremendously improve the design process for emerging systems. Our goal is to develop a comprehensive architectural framework to improve the design process for cyberphysical systems (CPS) and implement a case study with Axiomatic Design Solutions Inc. to develop next generation toolsets utilizing knowledge-based engineering (KBE) systems adapted to multiple domains in the field of CPS design automation. The Cyberphysical System Design Automation Framework (CPSDAF) will be based on advances in CPS design theory based on current research and knowledge collected from global sources automatically via Semantic Web Services. A case study utilizing STEM students is discussed.


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