A study on the computer-aided measuring integration system for the sheet metal stamping die

2006 ◽  
Vol 177 (1-3) ◽  
pp. 138-141 ◽  
Author(s):  
Chen-Hua She ◽  
Chun-Cheng Chang ◽  
Yung-Chou Kao ◽  
Hsin-Yu Cheng
2011 ◽  
Author(s):  
Takahiro Makiyama ◽  
Toshiya Teramae ◽  
Toshimi Sato ◽  
Francisco Chinesta ◽  
Yvan Chastel ◽  
...  

2010 ◽  
Vol 654-656 ◽  
pp. 346-349
Author(s):  
Xuan Zhi Wang ◽  
Syed H. Masood

Advanced high strength steels (AHSS) are increasingly used in sheet metal stamping in the automotive industry. In comparison with conventional steels, advanced high strength steel (AHSS) stampings produce higher contact pressures at the interface between draw die and sheet metal blank, resulting in more severe wear conditions, particularly at the draw die radius. The prediction of tool wear patterns for sheet metal stamping die is a highly challenging task as there are many control parameters involved in the production. This paper presents a numerical simulation methodology to analyse the influences of various control parameters on tool wear patterns of a sheet metal stamping die with different die radius arc profiles. The results of tool wear patterns provide informative guidelines for on-site production.


2013 ◽  
Vol 675 ◽  
pp. 244-247
Author(s):  
Xiao Ming Jiang ◽  
Chun Lai Hu ◽  
Wang Sheng Liu

In the machining industry, sheet metal stamping is an important method of metal forming, and stamping die forming quality depends on the structure and process design, the use of finite element technology(FEM), computer simulation of sheet metal forming process, forming the law and indicates that there defects in order to achieve the most optimal design. This article describes the increased exposure to whole search to determine the finite element calculation speed and accuracy of a new method— space sub-domain method.


Author(s):  
Xiaobing Dang ◽  
Ruxu Du ◽  
Kai He ◽  
Qiyang Zuo

As a light-weight material with high stiffness and strength, cellular metal has attracted a lot of attentions in the past two decades. In this paper, the structure and mechanical properties of aluminum cellular metal with periodic cubic cells are studied. The aluminum cellular metal is fabricated by sheet metal stamping and simple adhesion. Two sizes of specimens with cell sizes of 3mm and 5mm are fabricated. Their relative density and mechanical properties are tested by means of experiments. The results show that the cubic-cell cellular metal has high and predictable strength and hence, can be used for many practical applications.


Author(s):  
Wu-rong Wang ◽  
Bo Hou ◽  
Zhong-qin Lin ◽  
Z. Cedric Xia

High strength steels (HSSs) are one of the light-weight sheet metals well suited for reducing vehicle weight due to their higher strength-to-weight ratio. However, HSS tend to have bigger variations in their mechanical properties due to more complex rolling techniques involved in the steel-making process. Such uncertainties, when combined with variations in the process parameters such as friction and blank holder force, pose a significant challenge in maintaining the robustness of HSS sheet metal stamping. The paper presents a systematic and robust approach, combining the power of the finite element method and stochastic statistics to decrease the sensitivity of HSS stamping in the presence of above-mentioned uncertainties. First, the statistical distribution of sheet metal properties of selected HSS is characterized from a material sampling database. Then a separate interval adaptive response surface methodology (RSM) is applied in modeling sheet metal stamping. The new method significantly improves the model accuracy when compared with the conventional RSM within a single interval. Finally, the Monte Carlo method is employed to simulate the stochastic response of material/process variations to stamping quality and to provide optimal process parameter designs to reduce the sensitivity of these effects. The experiment with the obtained optimal process design demonstrates the improvements of stamping robustness using small-batch experiments.


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