The aim of industrial applications of drawing process simulations is to replace the physical tryout by the computer tryout for time and cost reduction as well as quality improvement in the die design/manufacturing cycle
In recent years, Advanced High Strength Steels (AHSS) have been intensively applied to automobile components to improve crashworthiness, without increasing the car body weight
Major negative consequence of these new materials: absence of knowledge about their behaviour during both the drawing process and future physical applications
Engineers turned to forming simulations in order to closely investigate and try to minimize this problem
The steel industry has recently produced a number of advanced high strength steels (AHSS)
AHSS are highly formable, yet possess an excellent combination of strength, durability, strain rate sensitivity and strain hardening
These characteristics enable automotive designers to achieve both weight reduction and improved crash safety
Advantages of AHSS:
Improved crash safety
Excellent combination of strength, durability, strain rate sensitivity and strain hardening
Weight reduction
High fatigue resistance
Disadvantages of AHSS:
Forming difficulties (accentuated deviation shape problems deriving from springback), making difficult the following utilization or assembly
Lack of knowledge about AHSS behaviour after forming may decrease some of the part characteristics
Deterioration of press forming accuracy, due to the sheet metal high strength
The FEM codes for sheet metal forming may be classified accordingly to their type of integration: implicit or explicit
Explicit methods solve for equilibrium at time t by direct time integration. The explicit procedure is conditionally stable since iterative procedures are not implemented to reach equilibrium and also ∆t is limited by natural time.
Implicit codes solve for equilibrium at every time step (t + ∆t). Depending on the procedure chosen, each iteration requires the formation and solution of the linear system of equations.
Dynamic explicit method:
Reduces the computational time drastically (adv)
Small time steps are needed (disadv)
Equilibrium after each time step cannot be checked (disadv)
Springback calculations are very time consuming (disadv)
Static implicit method:
Equilibrium is checked after each time step and thus leads to more accurate results (adv)
Computation time depends quadratically on the number of d.o.f. (disadv)
The stiffness matrix is often ill conditioned, which can make the method unstable and deteriorates the performance of the iterative solvers (disadv)
In sum, explicit codes are favoured for solving large problems although implicit codes yield more accurate results
The FEM numerical computation typology for drawing processes depends on the desired analysis and belongs to one of the following approaches:
One-Step Simulation
Provides the preliminary feasibility analysis using simplifying assumptions such as accepting a linear behaviour of deformation, ignoring contact and friction problems, etc.
Starts from the final deformed metal sheet configuration till the initial plane blank, in very short time, with only one step
Incremental Simulation
All the process components must be taken into account (kinematic characteristics, the blankholder, etc)
Used to simulate the complete drawing process, providing accurate results
Requires high hardware resources and calculation time
FEM Analysis of sheet metal drawing process adopts one of 3 methods based on the membrane, shell and continuum element:
Membrane elements:
Computational efficiency and superior convergence in contact analysis (adv)
Does not consider bending effect and it is inaccurate in bending dominant problems (disadv)
Shell elements:
Can capture the combination of stretching and bending and provides more degrees of freedom to capture accurate stress distribution (adv)
Notable amount of computational time and computer space for its 3D calculations (disadv)
Continuum elements:
Can handle through-thickness compressive straining (adv)
More elements are needed to describe the shell-type structures, so that a large system of equations must be solved (disadv)
AutoForm FEM code
Is an algorithm for the efficient resolution of typical automotive industry complex drawing problems
Uses a highly specialized FEM quasi-static implicit code, characterized by an incremental solution procedure
The stresses in the metal sheet thickness are calculated using convenient elasto-plastic models
Mesh and remeshing generation are automatic
The contacts and elements are formulated using:
Full Shell Elements
Bending-enhanced membrane elements
Procedure in AutoForm:
An example of a simulation realized in AutoForm for a complex an under floor longitudinal member of Fiat Stilo is presented as test case:
An incremental simulation was performed
The process consisted of three operations: forming, trimming and springback
The simulation was evaluated using the following result parameters: Formability, Thinning and Normal Displacement (Springback)
Formability
Areas undergoing different stresses are coloured differently on the part.
Another AutoForm option to analyse the formability is the Forming Limit Diagram (FLD)
In the current example, all strains are situated below the forming limit curve (FLC). This indicates that the process is quite safe and robust from a formability standpoint.
Thining
The scale displayed in the lower part of the main window presents a range from 30% thinning (-0.3) to 10% thickening (0.1) Areas undergoing different stresses are coloured differently on the part.

The areas more subjected to springback are immediately recognised and the phenomenon can be analysed punctually and quantitatively
The utilization of advanced simulation technologies (new and more powerful software system) and the AHSS implementation allows for increasing levels of product quality and a more rational employment of the materials
Drawing process simulations improve and make the die design process much easier, faster and efficient
It is possible to quickly evaluate numerous design and processing options, in search of the best solution
The further developments of the research will include the utilization of a neural network approach to the modeling of the behaviour of the AHSS work material