Presented work deals with the prediction of the forming limit of food can obtained with deep drawing, reverse drawing and expansion operations. Two commonly used materials of TH330 steel and AA5352 aluminium alloy for packaging can production were studied. Finite element simulation (FEM) is an essential tool in the packaging industry to prevent different sheet metal forming difficulties such as failure under complex nonlinear strain paths and plastic anisotropic earing. In order to characterise the material plastic properties and to specify failure criteria, the uniaxial tensile, hydraulic bulge test, as well as the routines for obtaining forming limit curves were carried out. The input material data required for various material models are...
The current report presents some results from a study on the prediction of necking failure in ductil...
ABSTRACT: The automotive industry has increased significantly the use of advanced high strength stee...
Development of predictive capabilities of forming failure can help not only to reduce the experiment...
A numerical technique is presented in order to assess formability conditions for tearing type sheet ...
Within sheet metal forming, crashworthiness analysis in the automotive industry and ship research on...
There is currently a growing demand for energy efficiency, particularly in reducing the rate of oil ...
Experimental and numerical cup drawing process has been investigated on 0.65 mm zinc sheets. The cup...
ABSTRACT: The deep drawing process is one of the important sheet metal forming process. In this pape...
The interpretation of sheet forming simulations relies on failure criteria to define the limits of m...
International audienceNowadays, aluminium alloys are increasingly used in the automotive industry, s...
International audienceThe formability of aluminum alloy sheet metal is a key issue in its design, an...
The Forming Limit Diagram (FLD) is a widely used concept to represent the formability of thin metall...
Tools for numerical analysis is a prerequisite in product development. Variations of the finite elem...
Abstract. The paper deals with constitutive modelling of highly anisotropic sheet metals. It present...
In this work, three numerical necking criteria based on finite element (FE) simulations are proposed...
The current report presents some results from a study on the prediction of necking failure in ductil...
ABSTRACT: The automotive industry has increased significantly the use of advanced high strength stee...
Development of predictive capabilities of forming failure can help not only to reduce the experiment...
A numerical technique is presented in order to assess formability conditions for tearing type sheet ...
Within sheet metal forming, crashworthiness analysis in the automotive industry and ship research on...
There is currently a growing demand for energy efficiency, particularly in reducing the rate of oil ...
Experimental and numerical cup drawing process has been investigated on 0.65 mm zinc sheets. The cup...
ABSTRACT: The deep drawing process is one of the important sheet metal forming process. In this pape...
The interpretation of sheet forming simulations relies on failure criteria to define the limits of m...
International audienceNowadays, aluminium alloys are increasingly used in the automotive industry, s...
International audienceThe formability of aluminum alloy sheet metal is a key issue in its design, an...
The Forming Limit Diagram (FLD) is a widely used concept to represent the formability of thin metall...
Tools for numerical analysis is a prerequisite in product development. Variations of the finite elem...
Abstract. The paper deals with constitutive modelling of highly anisotropic sheet metals. It present...
In this work, three numerical necking criteria based on finite element (FE) simulations are proposed...
The current report presents some results from a study on the prediction of necking failure in ductil...
ABSTRACT: The automotive industry has increased significantly the use of advanced high strength stee...
Development of predictive capabilities of forming failure can help not only to reduce the experiment...