The Structure and Mechanical Properties of Aluminum Cellular Metal With Periodic Cubic Cells

2016 ◽  
Author(s):  
Xiaobing Dang ◽  
Ruxu Du ◽  
Kai He ◽  
Qiyang Zuo
Keyword(s):  
Mechanical Properties ◽  
Relative Density ◽  
Sheet Metal ◽  
Light Weight ◽  
Practical Applications ◽  
Sheet Metal Stamping ◽  
High Stiffness ◽  
The Past ◽  
Cellular Metal ◽  
Metal Stamping

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.

Condition Monitoring Using a Latent Process Model with an Application to Sheet Metal Stamping Processes

2005 ◽  
Vol 127 (2) ◽  
pp. 376-385 ◽  
Author(s):  
Xiaoli Li ◽  
R. Du
Keyword(s):  
Sheet Metal ◽  
Condition Monitoring ◽  
Process Model ◽  
Generative Topographic Mapping ◽  
Monitoring Method ◽  
Practical Applications ◽  
Time Frequency ◽  
Sheet Metal Stamping ◽  
Metal Stamping ◽  
Latent Process

This paper presents a new condition monitoring method based on a latent process model. The method consists of three steps. First, a sensor signal is modeled by a latent process model that is a combination of a time-varying auto-regression model and a dynamic linear model, which decomposes the signal into several components, and each component represents a different part of the monitored system with different time-frequency behavior. Based on the latent process model, important features are extracted. Finally, using the generative topographic mapping, the selected features are mapped to a lower (two)-dimension space for classification. The proposed method is tested in condition monitoring of sheet metal stamping processes. A large number of experiments were conducted. In particular, two cases are presented in detail. From the testing results, it is found that the proposed method is able to detect various defects with a success rate around 98%. This result is significantly better than the conventional artificial neural network method. In addition, the new method is a self-organizing method and hence, little training is necessary. These advantages make the method very attractive for practical applications.

An Engineering Approach to Improve the Stamping Robustness of High Strength Steels

2009 ◽  
Vol 131 (6) ◽  
Author(s):  
Wu-rong Wang ◽  
Bo Hou ◽  
Zhong-qin Lin ◽  
Z. Cedric Xia
Keyword(s):  
Sheet Metal ◽  
Weight Ratio ◽  
High Strength Steels ◽  
High Strength ◽  
Process Variations ◽  
Optimal Process ◽  
Sheet Metal Stamping ◽  
The Monte Carlo Method ◽  
Metal Stamping ◽  
Metal Properties

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.

On the use of SLS Tools in Sheet Metal Stamping

CIRP Annals ◽  
2003 ◽  
Vol 52 (1) ◽  
pp. 249-252 ◽  
Author(s):  
G.N. Levy ◽  
R. Schindel ◽  
P. Schleiss ◽  
F. Micari ◽  
L. Fratini
Keyword(s):  
Sheet Metal ◽  
Sheet Metal Stamping ◽  
Metal Stamping

Sliding distance, contact pressure and wear in sheet metal stamping

Wear ◽  
2010 ◽  
Vol 268 (11-12) ◽  
pp. 1275-1284 ◽  
Author(s):  
Michael P. Pereira ◽  
Wenyi Yan ◽  
Bernard F. Rolfe
Keyword(s):  
Contact Pressure ◽  
Sheet Metal ◽  
Sheet Metal Stamping ◽  
Metal Stamping ◽  
Sliding Distance

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
Keyword(s):  
Sheet Metal ◽  
Integration System ◽  
Sheet Metal Stamping ◽  
Stamping Die ◽  
Metal Stamping ◽  
Computer Aided

Investigating galling wear behaviour in sheet metal stamping using acoustic emissions

Wear ◽  
2018 ◽  
Vol 414-415 ◽  
pp. 31-42 ◽  
Author(s):  
Vignesh V. Shanbhag ◽  
Bernard F. Rolfe ◽  
Narayanan Arunachalam ◽  
Michael P. Pereira
Keyword(s):  
Sheet Metal ◽  
Acoustic Emissions ◽  
Wear Behaviour ◽  
Sheet Metal Stamping ◽  
Metal Stamping

Study on Process Decision Methodology for Sheet Metal Stamping by Case Based Technology

2004 ◽  
Vol 471-472 ◽  
pp. 895-899 ◽  
Author(s):  
W. Liu ◽  
Yu Ying Yang ◽  
Z.W. Xing
Keyword(s):  
Sheet Metal ◽  
Process Design ◽  
Design Procedure ◽  
Practical Experience ◽  
Lead Times ◽  
Prototype System ◽  
Sheet Metal Stamping ◽  
Metal Stamping ◽  
Database Technology ◽  
Previous Design

More powerful process design methods and tools of sheet metal stamping are needed to help engineers design better products, to reduce lead times and costs, and to increase product performance and accuracy. A novel model for representation of object-oriented case information constitution relationship is presented, ‘Class-Property’ structure is proposed in order to refine the case representation, multi-types, properties are adopt to describe more detailed information, three hierarchies of index strategy are used to realize case extraction. Furthermore, experts’ knowledge and experience on previous design cases and forming problems are collected, which can provide designers useful practical experience and data to aid design procedure and to solve the potential problems of sheet metal stamping. In order to illustrate these applications, database technology is used to realize a prototype system of auto body panels, which can be used to integrate process design information and manufacture resources.

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