Experimental and numerical prediction on square cup punch–die misalignment during the deep drawing process

Ghafar, Alimi Abdul; Abdullah, Ahmad Badri; Mahmood, Johan Ihsan bin

doi:10.1007/s00170-021-06595-5

Cited by 11 publications

(7 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In light of the coefficients calculated according to the stress models of Hill'48-R and Hill'48S (Table 1), coefficients R 11 , R 22 , R 33 , R 12 , R 13 , and R 23 are determined using Equation (10), providing results presented in Table 2. This study critically examines different stress criteria, including von Mises, Hill'48R, and Hill'48S, by comparing them with experimental data.…”

Section: Methodsmentioning

confidence: 99%

“…Finite element methodology, coupled with ABAQUS 6.13 software, is harnessed here to investigate the ramifications of the punch and die shaft deflection on both stamping force and the distribution of wall thickness in SECC sheet billets [ 10 ]. In leveraging the Hill model and SECC material’s forming limit curve in numerical simulations, this study predicts two misalignment conditions of punch–mortar interactions—single-axis and multi-axis misalignment.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Study on Yield Criteria Influence on Anisotropic Behavior and Fracture Prediction in Deep Drawing SECC Steel Cylindrical Cups

Trieu,

Luyen,

Nguyen

et al. 2024

Materials

View full text Add to dashboard Cite

The deep drawing process, a pivotal technique in sheet metal forming, frequently encounters challenges such as anisotropy-induced defects. This study comprehensively investigates the influence of various yield criteria on the anisotropic behavior and fracture prediction in SECC steel cylindrical cups. It integrates Hill’48R, Hill’48S, and von Mises yield criteria in conjunction with Swift’s hardening law to evaluate material behavior under complex stress states. Experimental and numerical simulations assess the anisotropy effects across multiple orientations (0°, 45°, and 90°), revealing intricate relationships between stress criteria and material response. The findings indicate significant discrepancies between isotropic and anisotropic models in predicting fracture heights, emphasizing the importance of selecting appropriate yield criteria. Notably, the von Mises criterion results in lower fracture heights, suggesting higher susceptibility to fractures, while the Hill’48R model aligns closely with experimental data, validated through variations in punch corner radius and blank holder force parameters, with a maximum deviation of 3.23%. Hill’48S displays moderate plastic deformation characteristics.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Study on Yield Criteria Influence on Anisotropic Behavior and Fracture Prediction in Deep Drawing SECC Steel Cylindrical Cups

Trieu,

Luyen,

Nguyen

et al. 2024

Materials

View full text Add to dashboard Cite

show abstract

“…Where: 𝜎 𝑦 signifies the yield stress, 𝜀̄𝑝denotes the equivalent strain; K, n and 𝜎 0 are material parameters. [20]. Figure 1a presents the stress -strain curve of SECC material and Figure 1b showcases the Forming Limit Curve (FLC) specific to SECC material used for the FEM simulation process.…”

Section: Materials Selection and Characterizationmentioning

confidence: 99%

Optimization and Modelling of Fracture Height in SECC Cylindrical Cup Deep Drawing Processes

Trieu,

Luyen,

Nguyen

2024

Journal of Machine Engineering

View full text Add to dashboard Cite

Deep drawing processes play a pivotal role in the manufacturing of sheet and shell products, making it a widely adopted method. This research employs numerical simulations to investigate the impact of various process parameters on the fracture height of cylindrical cups made from SECC (Steel Electrogalvanized Commercial Cold rolled) material. Specifically, it examines parameters such as blank holder force (BHF), punch corner radius (Rp), die corner radius (Rd), and punch-die clearance (Wc). The study extends to optimizing fracture height, offering a solution to this challenge. Subsequently, the selected parameters are validated through experimental deep drawing of cylindrical cups, resulting in a minimal deviation of 1.55% between simulation and experiment outcomes. A precise mathematical equation is developed to estimate fracture height under diverse machining conditions, with a maximum deviation of 4.52% observed between the mathematical model and simulation. These findings represent a substantial advancement in deep drawing processes technology, particularly in reducing error rates during the production of cylindrical cups.

show abstract

“…Nowadays, robots place the blank with a certain repeatability on the same position to mitigate this uncertainty but often it is done regardless of the surrounding conditions. In this case, tool wear or a more simple misalignment of the punch [21] can affect the resulting shape and the induced strains. Even with all these variables that could cause instability in the process, FEM provides the ability to test and assess various configurations before determining the optimal design configuration for the component.…”

Section: Process Robustness and Influencing Parametersmentioning

confidence: 99%

Robustness of macro-structured deep drawing process

Wolf,

Tulke,

Brosius

2024

IOP Conf. Ser.: Mater. Sci. Eng.

View full text Add to dashboard Cite

Reaching robustness of forming processes is one of the main challenges in manufacturing technologies. Volatile material properties [1] and fluctuations in process parameters often result in insufficient part quality and rising production costs, especially in production chains [2]. As a common solution for this problem, numerical simulations are used to consider scattering of material parameters and define a useable process window with a specified safety margin. A new approach is the use of macro-structured tools. Result shown here indicate, in addition to the general enlargement of the useable process window [3], a high tolerance toward volatile material properties and variations of the blank. The produced parts show consistent quality with a reduction in residual stresses [4]. To examine the robustness in particular, virtual studies for steel alloy DX54 with varying alignment of the blank were performed. The resulting properties, such as the blank draw-in, thinning and springback, were examined in predefined positions on the blank to compare the experiments. The enlarged process window will be analysed and a strategy for a deeper understanding of the forming process will be generated, which will sustain the design of robust tools and processes.

show abstract

Experimental and numerical prediction on square cup punch–die misalignment during the deep drawing process

Cited by 11 publications

References 18 publications

A Study on Yield Criteria Influence on Anisotropic Behavior and Fracture Prediction in Deep Drawing SECC Steel Cylindrical Cups

A Study on Yield Criteria Influence on Anisotropic Behavior and Fracture Prediction in Deep Drawing SECC Steel Cylindrical Cups

Optimization and Modelling of Fracture Height in SECC Cylindrical Cup Deep Drawing Processes

Robustness of macro-structured deep drawing process

Contact Info

Product

Resources

About