Computer aided analysis and design of sheet metal forming processes:

2007 ◽  
Vol 28 (4) ◽  
pp. 1311-1320 ◽  
Author(s):  
M. Firat
2016 ◽  
Vol 68 (1) ◽  
pp. 7-11
Author(s):  
Radu Vasile

Abstract Designing a die is in every application field an intensive process of bringing together know how from design, testing and every-day use from previous dies with the new application requirements. Contribution deals with a knowledge oriented, modular and feature integrated computer aided design system for die development. This paper describes the concepts behind designing a hydroforming die for sheet metal forming, with easy application-use in small workshops for testing hydroforming capabilities of different materials.


2011 ◽  
Vol 474-476 ◽  
pp. 1730-1735
Author(s):  
Jun Liu ◽  
Si Yuan Cheng ◽  
Su Yang Li ◽  
Xiang Wei Zhang

With the development of computer technology, Computer Aided Engineering (CAE) and Computer Aided Inspection (CAI) are more widely used in stamping products for design and manufacture, but there is a lack of link between each other. On the one hand, results of CAE analysis are not effectively used and evaluated; the other hand, single CAI is not able to analyze reasons for wrinkle, crack, or springback in stamping products. To compensate these shortcomings, a CAE/CAI integrated method is established to ensure information sharing between of them, which is helpful for guiding the design of sheet metal forming. By this method, the feasibility of sheet metal forming is analyzed and forecasted, and the results of deformation are effectively assessed by 3D comparison, 2D comparison and GD&T inspection. And ultimately the superiority of CAE/CAI Integrated method is proved by case study.


2007 ◽  
Vol 344 ◽  
pp. 817-824
Author(s):  
Matteo Strano ◽  
Andrea Burdi

During sheet metal forming operations, many different sources of non-controllable process variations usually display their effect, leading to a degree of uncertainty in the final parts’ quality. For this reason, statistical tools are increasingly used in combination with FEM numerical simulation. The focus is moving in recent times beyond mere feasibility to robustness of the product and process being engineered. Ensuring robustness is the next big challenge for the virtual tryout / simulation technology. In this paper, some of the numerous applications of statistical analysis combined with simulation of sheet forming processes are presented and discussed: 1) sensitivity analysis under uncertainty, 2) process capability studies, 3) reliability assessment, 4) reliability optimization, 5) process design optimization under uncertainty. Problems of type 2) and 5) will be particularly addressed, by giving the description of some innovative methods and applications.


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