Analysis of the effects of tool and process parameters in hydrodynamic deep drawing assisted by radial pressure

Author(s):  
Masoomeh Salahshoor ◽  
Hamid Gorji ◽  
Mohammad Bakhshi-Jooybari
2004 ◽  
Vol 148 (1) ◽  
pp. 119-131 ◽  
Author(s):  
Lihui Lang ◽  
Joachim Danckert ◽  
Karl Brian Nielsen

2021 ◽  
Author(s):  
Huiting Wang ◽  
Jianfei Kong ◽  
Hongbo Pan ◽  
Jinxiu Fang ◽  
Xiaohui Shen

Abstract This study focus on the effects of the key process parameters during a modified hydrodynamic deep drawing utilizing a combined floating and static die cavity (HDDC). A two-stage hydraulic loading path is recommended in the novel process, and each stage of the hydraulic loading path is a linear loading path with an inflection point. The method to evaluate the wrinkle and forming dimension precision of the formed parts is introduced at first. Then the influence of the key parameters of the two-stage hydraulic loading path as well as the blank holder force on the dimension accuracy and surface quality of the formed parts was studied in detail. The results showed that the influence of the liquid pressure during the second stage is more significant than that in the first stage in hydrodynamic deep drawing utilizing a combined floating and static die cavity. The initial pressure of the second stage and the maximum pressure arriving moment during this stage have a significant impact on the dimensional accuracy of the formed parts, and the smaller initial pressure or the later the maximum pressure of the second stage arrives, the higher the accuracy of the formed part is. Similarly, the influence of the blank holder force in the second stage on the forming accuracy is more significant than that in the first stage.


Author(s):  
Alireza Jalil ◽  
Mohammad Hoseinpour Gollo ◽  
SM Hossein Seyedkashi

Forming of flat sheets into shell conical parts is a complex manufacturing process. Hydrodynamic deep drawing process assisted by radial pressure is a new hydroforming technology in which fluid pressure is applied to the peripheral edge of the sheet in addition to the sheet surface. This technique results in higher drawing ratio and dimensional accuracy, better surface quality, and ability of forming more complex geometries. In this research, a new theoretical model is developed to predict the critical rupture pressure in production of cone cups. In this analysis, Barlat–Lian yield criterion is utilized and tensile instability is considered based on the maximum load applied on the sheet. The proposed model is then validated by a series of experiments. The theoretical predictions are in good agreement with the experimental results. The effects of geometrical parameters and material properties on critical rupture pressure are also studied. The critical pressure is increased with increase in the height ratio, strain hardening exponent, and anisotropy. Higher punch nose radius expands the safe zone. It is shown that the critical pressure decreases for drawing ratios higher than 4.


2018 ◽  
Vol 97 (5-8) ◽  
pp. 2587-2601 ◽  
Author(s):  
Milad Sadegh-yazdi ◽  
Mohammad Bakhshi-Jooybari ◽  
Mohsen Shakeri ◽  
Hamid Gorji ◽  
Maziar Khademi

2017 ◽  
Vol 183 ◽  
pp. 65-70 ◽  
Author(s):  
Maziar Khademi ◽  
Abdolhamid Gorji ◽  
Mohammad Bakhshi ◽  
Milad Sadegh Yazdi

Author(s):  
Abbas Hashemi ◽  
Mohammad Hoseinpour Gollo ◽  
SM Hossein Seyedkashi ◽  
Ali Pourkamali Anaraki

An adaptive hybrid simulated annealing technique with ANSYS parametric design language is developed to optimize hydrodynamic deep drawing assisted by radial pressure process. This work aims to determine an optimal pressure path by redefinition of simulated annealing parameters and creating an adaptive finite element code using ANSYS parametric design language for any cylindrical, conical, and conical–cylindrical cups. The simulated annealing algorithm is developed adaptively with respect to hydrodynamic deep drawing with radial pressure process to link with ANSYS parametric design language code using a script in MATLAB. Parametric definition of process parameters enables the optimization algorithm to change the finite element model configuration in each iteration. Defective product is detected by definition of two failure criteria based on thinning and wrinkling occurrence during the optimization process. The proposed optimization method is employed in fractional factorial design of experiment to investigate the effective parameters on final product quality. Also, a regression model is derived to predict the final product quality based on the maximum thinning percentage under the optimal pressure path. Reliability of the optimization procedure and regression model is validated by experiments.


2015 ◽  
Vol 25 (9) ◽  
pp. 3064-3071 ◽  
Author(s):  
Abbas HASHEMI ◽  
Mohammad HOSEINPOUR GOLLO ◽  
S. M. Hossein SEYEDKASHI

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