Optimization of pressure paths in hydrodynamic deep drawing assisted by radial pressure with inward flowing liquid using a hybrid method

Sadegh-yazdi, Milad; Bakhshi-Jooybari, Mohammad; Shakeri, Mohsen; Gorji, Hamid; Khademi, Maziar

doi:10.1007/s00170-018-2023-9

Cited by 8 publications

(2 citation statements)

References 33 publications

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“…From these results, it can be concluded that the use of the fluid pressure gives better formability and drawing ration. According to Sadegh-yazdi et al [21], formability can be improved using an optimum fluid pressure path for radial and cavity pressures in HDD process. The quality of the formed part not only depends on the formability but also depends on other factors such as thinning.…”

Section: Resultsmentioning

confidence: 99%

Comparative study of conventional and hydromechanical deep drawing processes based on finite element analysis

Abbadeni

Zidane

Zahloul

et al. 2019

Frattura Ed Integrità Strutturale

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A two-dimensional finite element analysis has been performed to investigate hydromechanical and conventional deep drawing processes. The effects of the fluid structure interaction on the material formability, the strain and the thickness distributions are investigated. Large plastic deformation is observed in the plank at the bottom and the corner of the punch. Plastic deformation distribution results show a difference between the hydromechanical deep drawing process and the conventional deep drawing which is due to the friction effect. This latter represents one of the major features of the hydromechanical deep drawing process. Concerning the formability of the blank, the obtained results show that the hydromechanical deep drawing process gives a better formability than the conventional deep drawing process.

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Section: Resultsmentioning

confidence: 99%

Comparative study of conventional and hydromechanical deep drawing processes based on finite element analysis

Abbadeni

Zidane

Zahloul

et al. 2019

Frattura Ed Integrità Strutturale

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“…Sadegh-yazdi et al. 8 optimized the pressure path of the fluid in hydro-mechanical deep drawing using a hybrid technique. They conducted the optimization by employing the Artificial Bee Colony algorithm in conjunction with the fuzzy control.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the geometrical parameters for elevated temperature hydro-mechanical deep drawing process of 2024 aluminum alloy

Yaghoubi

Fereshteh-Saniee

2020

Proceedings of the Institution of Mechanical Engineers, Part E:

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This research is concerned with the effects of the geometrical parameters of the die in elevated temperature Hydro-Mechanical Deep Drawing (HMDD) process of 2024 aluminum alloy. A Group Method of Data Handling (GMDH) process was used to train a neural network in order to study the process behavior. Based on the maximum reduction in sheet thickness and the uniformity of the final product, an objective function was constructed. The Bees Algorithm (BA) was used to achieve the optimal values for process variables. To verify the simulation results, they were compared with the experimental findings gained via this research and an appropriate correlation was observed between these results. This comparison showed that, by optimization of the geometrical parameters of the process, the value of the combined objective function was the best one compared with all of the cases tried in the present investigation.

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A Study of Internal Defects in Flexible Medium Hydroforming of Complex Structures of Fiber Metal Laminates

Yan,

Li,

Zhang

et al. 2023

Lecture Notes in Mechanical Engineering

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Optimization of pressure paths in hydrodynamic deep drawing assisted by radial pressure with inward flowing liquid using a hybrid method

Cited by 8 publications

References 33 publications

Comparative study of conventional and hydromechanical deep drawing processes based on finite element analysis

Comparative study of conventional and hydromechanical deep drawing processes based on finite element analysis

Optimization of the geometrical parameters for elevated temperature hydro-mechanical deep drawing process of 2024 aluminum alloy

A Study of Internal Defects in Flexible Medium Hydroforming of Complex Structures of Fiber Metal Laminates

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