2020
DOI: 10.3390/met10060845
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Experimental and Numerical Analysis of the Influence of Burst Pressure Distribution on Rapid Free Sheet Forming by Vaporizing Foil Actuators

Abstract: Vaporizing Foil Actuators (VFA) can be employed as an innovative, extremely fast sheet metal forming method. An ultimate goal in forming technologies is generally to be flexible and rely on as few part-specific tools as possible. Therefore, various realizable VFA pressure distributions were investigated with a focus on the free forming result. Fundamental experiments including laser-based dynamic velocity measurements were conducted to discuss some key forming characteristics of the process. To compare more co… Show more

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Cited by 4 publications
(8 citation statements)
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References 13 publications
(17 reference statements)
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“…The derived data was implemented experimentally using the setup platform and pulse generator described in Hahn et al [10] respectively in Hahn and Tekkaya [11,12]. The main differences were that the waterjet-cut aluminum foils were arranged in parallel in this work for the first time, and that a sealed closed die was used.…”
Section: Methodsmentioning
confidence: 99%
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“…The derived data was implemented experimentally using the setup platform and pulse generator described in Hahn et al [10] respectively in Hahn and Tekkaya [11,12]. The main differences were that the waterjet-cut aluminum foils were arranged in parallel in this work for the first time, and that a sealed closed die was used.…”
Section: Methodsmentioning
confidence: 99%
“…The optimization task is to be performed on the basis of a finite element (FE) model for the dynamic forming simulation. For this, the model of Hahn and Tekkaya [11] is utilized. It is built in Abaqus/Explicit and mainly contains: the sheet blank using volume elements, the strain-and strain rate-dependent flow curve of the material (in this case the isotropic Zerilli-Armstrong equation for DC01 steel), the part-specific die with a clamping, and a flexible load definition.…”
Section: Mechanical Optimizationmentioning
confidence: 99%
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