Numerical Simulation of Various Cross Sectional Workpieces Using Conventional Deep Drawing and Hydroforming Technologies

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Date

2008

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier Sci Ltd

Open Access Color

Green Open Access

No

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Abstract

This study focuses on the determination of optimum sheet metal forming process and process parameters for various cross sectional workpieces by comparing the numerical results of high-pressure sheet metal forming, hydro-mechanical deep drawing (DD) and conventional DD simulations. Within the range of each cross section, depth, characteristic dimensions ratio and fillet radius have been altered systematically. Steel of types St14 and DC04 have been used as the specimen material in the numerical analyses and the experimental verification throughout the study. All numerical simulations have been carried out by using a dynamic-explicit commercial finite element code and an elasto-plastic material model. During the analyses each workpiece was simulated by the three competing processes. The results of analyses, such as sheet thickness distribution, necking, forming of radii etc., are used for assessing the success of each forming process alternative. The analyses revealed that depending on the workpiece geometry and dimensional properties certain processes are preferable for obtaining more satisfactory products. Working windows for each process have been established based on the analyzed parameters of the circular, elliptic, rectangular and square cross sectional product geometries. This data is expected to be useful for selecting the appropriate production process for a given workpiece geometry and understand the limits of each sheet metal forming processes. (c) 2007 Elsevier Ltd. All rights reserved.

Description

Tekkaya, Erman/0000-0002-5197-2948

Keywords

deep drawing, hydroforming, aquadrawing, forming limits, dynamic - explicit FEM

Fields of Science

0209 industrial biotechnology, 0203 mechanical engineering, 02 engineering and technology

Citation

WoS Q

Q1

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OpenCitations Citation Count
34

Source

International Journal of Machine Tools and Manufacture

Volume

48

Issue

5

Start Page

532

End Page

542

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Citations

CrossRef : 24

Scopus : 50

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Mendeley Readers : 46

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50

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Web of Science™ Citations

42

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2

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1.94656465

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