Process window diagram of conical cups in hydrodynamic deep drawing assisted by radial pressure

Hashemi, Arash; Gollo, M. Hoseinpour; Seyedkashi, S. M. H.

doi:10.1016/s1003-6326(15)63934-6

Cited by 27 publications

(10 citation statements)

References 16 publications

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“…Stronger materials take a higher forging force to achieve a final shape, and certain materials like Ti-6-4 are extremely difficult to form at room temperature. There is a large body of work concerning the hydroforming of standard steel, [44] stainless, and aluminum, especially automotive grades of materials as can be seen in a table of common sizes created by Koç, et Al., 2001 [10]. What follows is a representative cross section of the large body of published work on hydroforming materials.…”

Section: Hydroformed Materials and Alloys Available In The Literaturementioning

confidence: 99%

A state of the art review of hydroforming technology

et al. 2019

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Hydroforming is a relatively new metal forming process with many advantages over traditional cold forming processes including the ability to create more complicated components with fewer operations. For certain geometries, hydroforming technology permits the creation of parts that are lighter weight, have stiffer properties, are cheaper to produce and can be manufactured from fewer blanks which produces less material waste. This paper provides a detailed survey of the hydroforming literature of both established and emerging processes in a single taxonomy. Recently reported innovations in hydroforming processes (which are incorporated in the taxonomy) are also detailed and classified in terms of “technology readiness level”. The paper concludes with a discussion on the future of hydroforming including the current state of the art techniques, the research directions, and the process advantages to make predictions about emerging hydroforming technologies.

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Section: Hydroformed Materials and Alloys Available In The Literaturementioning

confidence: 99%

A state of the art review of hydroforming technology

et al. 2019

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“…where t b is the initial blank thickness and n the strain hardening exponent. On the other hand, wrinkling is checked by calculating the distance between the upper nodes of the sheet and the outer nodes of the punch using equations (2) and (3). If this distance becomes more than 0.1 mm, wrinkles will appear.…”

Section: Ansys Parametric Design Language (Apdl)mentioning

confidence: 99%

“…Sheet hydroforming process has found popularity due to its profitable advantages such as high product quality, enhanced formability, improved accuracy and economic feasibility in high volume production [1,2]. The advantages are significantly dependent on the applied pressure loading path during the process [3,4]. Development of finite element codes makes the process designers capable of modeling and producing more complicated products with better quality and shorter design time [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Application of a new integrated optimization approach in sheet hydroforming process

Hashemi

Gollo

Seyedkashi

2018

Mechanics & Industry

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The purpose of this study is to produce a desired hydroformed product under the optimal pressure profile. To achieve this purpose, a new adaptive optimization approach is proposed based on fuzzy logic control (FLC) integrated with simulated annealing (SA) optimization technique and ANSYS parametric design language (APDL). An intermediate MATLAB code was developed and used to manage data transfer automatically between FLC, SA and APDL, in which there would be no need for any interaction of user/designer during the optimization process execution. This method aims to find the optimal pressure loading profile, prevent wrinkling and necking failures, reduce unsuccessful iterations, and enhance convergence precision. This method is capable of adaptively changing the process parameters in order to reach the optimized values with higher accuracy in a more reasonable time. The results show a good agreement between the proposed optimization approach and experiments. The developed optimization approach is a practical and reliable design tool for industrial production of any symmetric shell cups using hydroforming process.

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“…In this regard, the constitutive model providing an accurate description of the plastic anisotropy of HDD process has been the subject of numerous studies. Hashemi et al [25] proposed a process window diagram to predict the minimum and maximum critical pressure in HDD of conical cups using the Hill'48 yield criterion numerically. Azodi et al [26] developed analytical models based on the Barlat'89 and Hill's non-quadratic yield criteria in the HMDD process to predict the maximum permissible fluid pressure with assuming plane strain tensile failure.…”

Section: Introductionmentioning

confidence: 99%

Effect of Anisotropic Yield Functions on Prediction of Critical Process Window and Deformation Behavior for Hydrodynamic Deep Drawing of Aluminum Alloys

Wang

Meng

et al. 2020

Metals

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Owing to the reduction of rupture instability and the avoidance of wrinkle defect, the hydrodynamic deep drawing (HDD) process is gradually becoming attractive for fabricating lightweight and complicated products. Meanwhile, since metallic materials present anisotropic deformation behavior, it is necessary to select an appropriate constitutive model for the prediction of plastic deformation behavior of applied material with high precision. In the present research, several anisotropic yield criteria, namely, Hill’48, Yld2000-2d, and BBC2005, were implemented to investigate the effects of yield functions on the prediction accuracy of the critical process window and deformation behavior for the HDD process of 2024 and 5754 aluminum alloys. Material constants in the yield criteria were determined by applying uniaxial and equi-biaxial tension tests and optimizing an error-function using the Levenberg–Marquardt algorithm. Furthermore, the process window diagram was computed utilizing the stress analytical model combined material properties with workpiece geometrical features. Numerical simulation results of predicted material anisotropic parameters, process window, and HDD deformation for aluminum alloys were compared with the experimental data. Through the comparison of diverse yield criteria based on materials’ anisotropic coefficients, critical process window prediction, earing profile, and thickness distribution, it was revealed that the Yld2000-2d and the BBC2005 yield criteria can offer more precise models of material behavior in planar anisotropy properties for the HDD process of 2024 and 5754 aluminum alloys.

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Process window diagram of conical cups in hydrodynamic deep drawing assisted by radial pressure

Cited by 27 publications

References 16 publications

A state of the art review of hydroforming technology

A state of the art review of hydroforming technology

Application of a new integrated optimization approach in sheet hydroforming process

Effect of Anisotropic Yield Functions on Prediction of Critical Process Window and Deformation Behavior for Hydrodynamic Deep Drawing of Aluminum Alloys

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