Sheet metal forming simulation

Today the metal forming industry is making increasing use of simulation to evaluate the performing of dies, processes and blanks prior to building try-out tooling. Finite element analysis (FEA) is the most common method of simulating sheet metal forming operations to determine whether a proposed design will produce parts free of defects such as fracture or wrinkling.[1]

Sheet metal forming challenges

Sheet metal forming, which is often referred to as stamping, is a process in which a piece of sheet metal, referred to as the blank, is formed by stretching between a punch and a die.[2]

Deformation of the blank is typically limited by buckling, wrinkling, tearing, and other negative characteristics which makes it impossible to meet quality requirements or makes it necessary to run at a slower than desirable rate.[3]

Springback is a particularly critical aspect of sheet metal forming. Even relatively small amounts of springback in structures that are formed to a significant depth may cause the blank to distort to the point that tolerances cannot be held. New materials such as high strength steel, aluminum and magnesium are particularly prone to springback.[4]

Sheet metal forming is more of an art than a science. The design of the tooling, stamping process and blank materials and geometry are primarily done by trial and error.[5]

The traditional approach to designing the punch and die to produce parts successfully is to build try-out tools to check the ability of a certain tool design to produce parts of the required quality. Try-out tools are typically made of less expensive materials to reduce try-out costs yet this method is still costly and time-consuming.[6]

History of sheet metal forming simulation

The first effort at simulating metalforming was made using the finite difference method in the 1960s to better understand the deep drawing process. Simulation accuracy was later increased by applying nonlinear finite element analysis in the 1980s but computing time was too long at this time to apply simulation to industrial problems.[7]

Rapid improvements over the past few decades in computer hardware have made the finite element analysis method practical for resolving real-world metal forming problems. A new class of FEA codes based on explicit time integration was developed that reduced computational time and memory requirements. The dynamic explicit FEA approach uses a central different explicit scheme to integrate the equations of motion. This approach uses lumped mass matrices and a typical time step on order of millionths of seconds. The method has proved to be robust and efficient for typical industrial problems.[8]

As computer hardware and operating systems have evolved, memory limitations that prevented the practical use of Implicit Finite Element Methods had been overcome.[9] Using the implicit method time steps are computed based on the predicted amount of deformation occurring at a given moment in the simulation, thus preventing unnecessary computational inefficiency caused by computing too small time steps when nothing is happening or too large a time step when high amounts of deformation are occurring.

Finite Element Analysis Methods

Two broad divisions in the application of Finite Element Analysis method for sheet metal forming can be identified as Inverse One-step and Incremental.

Inverse One-step methods compute the deformation potential of a finished part geometry to the flattened blank. Mesh initially with the shape and material characteristics of the finished geometry is deformed to the flat pattern blank. The strain computed in this inverse forming operation is then inverted to predict the deformation potential of the flat blank being deformed into the final part shape. All the deformation is assumed to happen in one increment or step and is the inverse of the process which the simulation is meant to represent, thus the name Inverse One-Step.

Incremental Analysis methods start with the mesh of the flat blank and simulate the deformation of the blank inside of tools modeled to represent a proposed manufacturing process. This incremental forming is computed "forward" from initial shape to final, and is calculated over a number of time increments for start to finish. The time increments can be either explicitly or implicitly defined depending on the finite element software being applied. As the incremental methods include the model of the tooling and allow for the definition of boundary conditions which more fully replicate the manufacturing proposal, incremental methods are more commonly used for process validation. Inverse One-step with its lack of tooling and therefore poor representation of process is limited to geometry based feasibility checks.[10]

Incremental analysis has filled the role previously completed through the use of proof tools or prototype tools. Proof tools in the past were short run dies made of softer than normal material, which were used to plan and test the metal forming operations. This process was very time consuming and did not always yield beneficial results, as the soft tools were very different in their behavior than the longer running production tools. Lessons learned on the soft tools did not transfer to the hard tool designs. Simulation has for the most part displaced this old method. Simulation used as a virtual tryout is a metal forming simulation based on a specific set of input variables, sometimes nominal, best case, worst case, etc. However, any simulation is only as good as the data used to generate the predicitions. When a simulation is seen as a "passing result" manufacturing of the tool will often begin in earnest. But if the simulation results are based on an unrealistic set of production inputs then its value as an engineering tool is suspect.

Robustness Analysis

Recent innovations in stochastic analysis applied to sheet metal forming simulations has enabled early adopters to engineer repeat-ability into their processes that might not be found if they are using single sets of simulations as "virtual tryout".[11]

Uses of sheet metal forming simulation

Chaboche type material models are sometimes used to simulate springback effects in sheet metal forming. These and other advanced plasticity models require the experimental determination of cyclic stress-strain curves. Test rigs have been used to measure material properties that when used in simuilations provide excellent correlation between measured and calculated springback.[12]

Many metal forming operation require too much deformation of the blank to be performed in a single step. Multistep or progressive stamping operations are used to incrementally form the blank into the desired shape through a series of stamping operations. Incremental forming simulation software platforms addresses these operations with a series of one-step stamping operations that simulate the forming process one step at a time.[13]

Another common goal in design of metal forming operations is to design the shape of the initial blank so that the final formed part requires few or no cutting operations to match the design geometry. The blank shape can also be optimized with finite element simulations. One approach is based on an iterative procedure that begins with an approximate starting geometry, simulates the forming process and then checks deviation of the resulting formed geometry from the ideal product geometry. The node points are adjusted in accordance with the displacement filed to correct the blank edge geometry. This process is continued until the end blank shape matches the as-designed part geometry.[14]

Metal forming simulation offers particular advantages in the case of high strength steel and advanced high-strength steel which are used in current day automobiles to reduce weight while maintaining crash safety of the vehicle. The materials have higher yield and tensile strength than conventional steel so the die undergoes greater deformation during the forming process which in turn increases the difficulty of designing the die. Sheet metal simulation that considers the deformation of not only the blank but also the die can be used to design tools to successfully form these materials.[15]

Industrial applications

Tata Motors engineers used metal forming simulation to develop tooling and process parameters for producing a new oil sump design. The first prototypes that were produced closed matched the simulation prediction.[16]

Nissan Motor Company used metal forming simulation to address a tearing problem in a metal stamping operation. A simple simulation model was created to determine the effect of blank edge radius on the height to which the material could be formed without tearing. Based on this information a new die was designed that solved the problem.[17]

References

  1. ↑ Taylan Altan, Erman Tekkaya, “Sheet Metal Forming: Processes and Applications,” Chapter 3: Process Simulation,” Manan Shah, Partchapol Sartkulvanich, August 31, 2012.
  2. ↑ Abdulla Mohammad Gous Shaikh, Tippa Bhimasankara Rao, “Sheet Metal Forming Simulations for Heavy Commercial Vehicle Parts by LS-DYNA,” Global Journal of Researches in Engineering, Volume 13, Issue 1 2013.
  3. ↑ Abdulla Mohammad Gous Shaikh, Tippa Bhimasankara Rao, “Sheet Metal Forming Simulations for Heavy Commercial Vehicle Parts by LS-DYNA,” Global Journal of Researches in Engineering, Volume 13, Issue 1 2013.
  4. ↑ Winfried Schmitt, Oleg Benevolenski, Tom Walde, Andriy Krasowsky, “Material Characterization for Simulation of Sheet Metal Forming,” VIII International Conference on Computational Plasticity (COMPLAS VIII), Barcelona, 2005.
  5. ↑ Igor A. Brigadnov, “Computer Simulation of Sandwich Sheet Metal Forming,” Journal of Advanced Computer Science and Technology, Volume 1, Issue 4, Pages 306–315, 2004.
  6. ↑ A. Anderssson, “Comparison of sheet-metal-forming simulation and try-out tools in the design of a forming tool,” Journal of Engineering Design, Vol. 15, No. 3, 2004.
  7. ↑ P.V.RF. Rivindar Reddy, G. Chandra Mohan Reddy, P. Radhakrishna Prasad, “A Review on Finite Element Simulations in Metal Forming,” International Journal of Modern Engineering Research, Vol. 2, Issue 4, July–August 2012, pages 2326–2330.
  8. ↑ P.V.RF. Rivindar Reddy, G. Chandra Mohan Reddy, P. Radhakrishna Prasad, “A Review on Finite Element Simulations in Metal Forming,” International Journal of Modern Engineering Research, Vol. 2, Issue 4, July–August 2012, pages 2326–2330.
  9. ↑ W. Kubli, J. Reissner, "Optimization of sheet-metal forming processes using the special-purpose program AUTOFORM,"
  10. ↑ D. Banabic et al "Sheet Metal Forming Processes, Constitutive Modelling and Numerical Simulation", 2010, pages 218–230.
  11. ↑ Anders Skogsgårdh, http://www.autoform.com/en/products/solution-tryout-part-production/application-examples-tryout-part-production/ Volvo Cars Manufacturing Engineering
  12. ↑ Winfried Schmitt, Oleg Benevolenski, Tom Walde, Andriy Krasowsky, “Material Characterization for Simulation of Sheet Metal Forming,” VIII International Conference on Computational Plasticity (COMPLAS VIII), Barcelona, 2005.
  13. ↑ Tim Stephens, “Incremental Forming Simulation Software,” Metal Forming Magazine, June 2013.
  14. ↑ Nikolaj Mole, Gasper Cafuta, Boris Stok, “A Method for Optimal Blank Shape Determination in Sheet Metal Forming Based on Numerical Simulation,” Journal of Mechanical Engineering, Volume 59, Issue 4, Pages 237–250, 2013.
  15. ↑ K.Y. Choi, M.G. Lee, H.Y. Kim, “Sheet metal forming simulation considering die deformation,” International Journal of Automotive Technology, December 2013, Volume 14, Issue 6, pages 935–940.
  16. ↑ “Simulation for Steel Stamping,” Automotive Design and Production, March 30, 2011.
  17. ↑ A. Makinouchi, “Sheet metal forming simulation in industry,” Journal of Materials Processing Technology, Issue 60, 1996, Pages 19–26.
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