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

2015 ◽  
Vol 25 (9) ◽  
pp. 3064-3071 ◽  
Author(s):  
Abbas HASHEMI ◽  
Mohammad HOSEINPOUR GOLLO ◽  
S. M. Hossein SEYEDKASHI
Keyword(s):  
Deep Drawing ◽  
Radial Pressure ◽  
Process Window ◽  
Hydrodynamic Deep Drawing

Investigation into hydrodynamic deep drawing assisted by radial pressure

2004 ◽  
Vol 148 (1) ◽  
pp. 119-131 ◽  
Author(s):  
Lihui Lang ◽  
Joachim Danckert ◽  
Karl Brian Nielsen
Keyword(s):  
Deep Drawing ◽  
Radial Pressure ◽  
Hydrodynamic Deep Drawing

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

2020 ◽  
Author(s):  
Chu Wang ◽  
Delun Li ◽  
Bao Meng ◽  
Min Wan
Keyword(s):  
Aluminum Alloys ◽  
Deep Drawing ◽  
Deformation Behavior ◽  
Material Behavior ◽  
Process Window ◽  
Yield Criteria ◽  
Hydrodynamic Deep Drawing ◽  
Plastic Deformation Behavior ◽  
Yield Functions ◽  
Critical Process

Owing to the reduction of rupture instability and the avoidance of wrinkle defect, hydrodynamic deep drawing (HDD) process is gradually becoming attractive for fabricating lightweight and complicated products. Meanwhile, since metallic material presents 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 are implemented to investigate the effect of yield functions on the prediction accuracy of the critical process window and deformation behavior for HDD process of 2024 and 5754 aluminum alloys. Material constants in the yield criteria are determined by applying uniaxial and equi-biaxial tension tests and optimizing an error-function by using the Levenberg-Marquardt algorithm. Furthermore, the process window diagram is 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 are 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 is revealed that the Yld2000-2d and the BBC2005 yield criteria can offer more precise models of material behavior in planar anisotropy properties for HDD process of 2024 and 5754 aluminum alloys.

Process analysis of hydrodynamic deep drawing of cone cups assisted by radial pressure

2015 ◽  
Vol 231 (10) ◽  
pp. 1793-1802 ◽  
Author(s):  
Alireza Jalil ◽  
Mohammad Hoseinpour Gollo ◽  
SM Hossein Seyedkashi
Keyword(s):  
Deep Drawing ◽  
Critical Pressure ◽  
Process Analysis ◽  
Fluid Pressure ◽  
Radial Pressure ◽  
Strain Hardening Exponent ◽  
Geometrical Parameters ◽  
Drawing Ratio ◽  
Hydrodynamic Deep Drawing ◽  
Rupture Pressure

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.

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

2018 ◽  
Vol 97 (5-8) ◽  
pp. 2587-2601 ◽  
Author(s):  
Milad Sadegh-yazdi ◽  
Mohammad Bakhshi-Jooybari ◽  
Mohsen Shakeri ◽  
Hamid Gorji ◽  
Maziar Khademi
Keyword(s):  
Hybrid Method ◽  
Deep Drawing ◽  
Radial Pressure ◽  
Flowing Liquid ◽  
Hydrodynamic Deep Drawing

scholarly journals Investigation of Wrinkling in Hydrodynamic Deep Drawing Assisted by Radial Pressure with Inward Flowing Liquid

2017 ◽  
Vol 183 ◽  
pp. 65-70 ◽  
Author(s):  
Maziar Khademi ◽  
Abdolhamid Gorji ◽  
Mohammad Bakhshi ◽  
Milad Sadegh Yazdi
Keyword(s):  
Deep Drawing ◽  
Radial Pressure ◽  
Flowing Liquid ◽  
Hydrodynamic Deep Drawing

Adaptive hybrid optimization of hydrodynamic deep drawing with radial pressure process by combination of parametric design and simulated annealing techniques

2016 ◽  
Vol 231 (24) ◽  
pp. 4564-4575 ◽  
Author(s):  
Abbas Hashemi ◽  
Mohammad Hoseinpour Gollo ◽  
SM Hossein Seyedkashi ◽  
Ali Pourkamali Anaraki
Keyword(s):  
Finite Element ◽  
Simulated Annealing ◽  
Regression Model ◽  
Deep Drawing ◽  
Parametric Design ◽  
Radial Pressure ◽  
Design Language ◽  
Hydrodynamic Deep Drawing ◽  
Definition Of ◽  
Ansys Parametric Design Language

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.

Sign in / Sign up

Export Citation Format

Share Document