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Technical Paper

Deep Drawing of Rectangular Pans from Aluminum Alloy 2008-T4

1995-02-01
950694
Deep drawing experiments using rectangular pans, made of aluminum alloys, have been conducted at the Engineering Research Center for Net Shape Manufacturing (ERC/NSM) at the Ohio State University. A 160 ton Minster hydraulic press was used for the experiments. A 3-D finite element code called PAM-STAMP was used in the simulations. The current study investigates the effect of blank holder force control and blank shape on the final product quality. In the hydraulic press, it was possible to control the blank holding force (BHF) as a function of time. By conducting experiments and simulations using three blank shapes and various BHF profiles, it has been shown that blank shape and the BHF have significant effect on the formability of aluminum alloy pans, and they must be optimized to eliminate wrinkling and fracture. A decreasing BHF profile was shown to be effective in improving part quality and practical for use in industrial applications.
Technical Paper

Applications of Computer Simulations for Part and Process Design for Automotive Stampings

1997-02-24
970985
Recent studies in sheet metal forming, conducted at universities world wide, emphasize the development of computer aided techniques for process simulation. To be practical and acceptable in a production environment, these codes must be easy to use and allow relatively quick solutions. Often, it is not necessary to make exact predictions but rather to establish the influence of process variables upon part quality, tool stresses, material flow, and material thickness variation. In cooperation with its industrial partners, the ERC for Net Shape Manufacturing of the Ohio State University has applied a number of computer codes for analysis and design of sheet metal forming operations. This paper gives a few selected examples taken from automotive applications and illustrates practical uses of computer simulations to improve productivity and reduce tool development and manufacturing costs.
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