Numerical simulation of sheet metal forming of an Al-Mg alloy incorporating plane strain properties in the yield criterion

Prakash, Ved; Digavalli, Ravi Kumar; Lenzen, Matthias; Hagenah, Hinnerk; Merklein, Marion

doi:10.1177/09544054221135388

Cited by 2 publications

(2 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The results showed that increasing the maximum hydraulic pressure could effectively reduce the thinning of the critical zone. Prakash et al 22 used the Yld2000-2d yield criterion to simulate the AA5083-O aluminum alloy sheet numerically and predicted the thinning and load variation with displacement during the sheet forming process. Hydraulic bulge tests with circular and elliptical die cavities are performed to characterize the material in equi-biaxial and plane strain conditions.…”

Section: Optimization Of the Loading Path Of The Hydraulic Pressurementioning

confidence: 99%

Multi-objective optimization of loading path for sheet hydroforming of tank bottom

Zhang

Zhou

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part B:

View full text Add to dashboard Cite

As a critical component of the propellant tank, the tank bottom is subjected to complex loads such as internal pressure and vibration and has high requirements for structural load-bearing capacity. Hydroforming deep drawing is one of the techniques for the integral forming of the tank bottom. As the tank bottom is a large-size thin-walled structure, defects such as cracks and wrinkles are prone to occur during the hydroforming deep drawing process. Aiming at reducing these defects, the hydraulic pressure loading path and blank holder force loading path of the hydroforming deep drawing process are studied, and a multi-objective optimization method is proposed to improve the surface accuracy and thickness distribution uniformity of the tank bottom. The complex loading path curve optimization problem is transformed into a functional relationship between hydraulic pressure and blank holder force with time. The hydraulic pressure and blank holder force at each time node are used as design variables, and the maximum wall thickness reduction rate, rupture trend factor, wrinkle height, and wrinkle trend factor are used as optimization targets. The radial basis function (RBF) neural network is used to establish the approximate model between the loading path and the optimization target, and the multi-objective particle swarm optimization (MOPSO) algorithm is used to optimize the solution. Taking the hemispherical tank bottom as an example, the optimal hydraulic pressure loading path and blank holder force loading path are obtained, and the quality of the formed part is improved.

show abstract

Section: Optimization Of the Loading Path Of The Hydraulic Pressurementioning

confidence: 99%

Multi-objective optimization of loading path for sheet hydroforming of tank bottom

Zhang

Zhou

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part B:

View full text Add to dashboard Cite

show abstract

“…[1][2][3][4] With the continuous development and maturity of finite element simulation technology, more and more scholars today were using finite element analysis to study the deformation process of sheets. 5,6 Finite element simulation also plays an important role in the study of part springback. Sun et al 7 found that the hot forming of high-strength steel significantly reduced springback by about 62% compared to cold forming through the finite element model developed and also found that rapid forming was beneficial in reducing springback.…”

Section: Introductionmentioning

confidence: 99%

Influence of local features on twist springback of high-strength steel long channels

Li,

Wang,

Pang

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part B:

View full text Add to dashboard Cite

With the wide use of high-strength steel (HSS) in structural body parts, the twist springback of high-strength steel parts has received extensive attention. Unlike automotive panels, structural body parts are arranged with many local features to meet functional requirements. The aim of this study is to investigate the influence of local features on twist springback to optimize the design of local features to reduce twist springback. In this paper, a typical long channel part (A-pillar upper inner plate) is taken as the object of study. A suitable location division method for this type of part is proposed to investigate the changes in twist springback and cross-sectional stresses in the part before and after the addition of local features at different locations through finite element simulations. The results show that the local features affect the stiffness and stress distribution of the parts and significantly affect the twist springback of the parts. Finally, the research results guided the optimization of the local feature design of an A-pillar upper inner plate, resulting in a remarkable 37% and 61% decrease in twist springback at the left and right ends of the optimized part, respectively. In addition, stamping molds were developed for optimized parts, and experiments were carried out to verify the effectiveness of the law and the reliability of the finite element model.

show abstract

Numerical simulation of sheet metal forming of an Al-Mg alloy incorporating plane strain properties in the yield criterion

Cited by 2 publications

References 40 publications

Multi-objective optimization of loading path for sheet hydroforming of tank bottom

Multi-objective optimization of loading path for sheet hydroforming of tank bottom

Influence of local features on twist springback of high-strength steel long channels

Contact Info

Product

Resources

About