Inverse Analysis of Forming Processes Based on FORGE Environment

Abstract:

In the field of materials forming processes, the use of simulation coupled with optimization is a powerful numerical tool to support design in industry and research. The finite element software Forge®, a reference in the field of the two-dimensional and three-dimensional simulation of forging processes, has been coupled to an automatic optimization engine. The optimization method is based on meta-model assisted evolutionary algorithm. It allows solving complex optimization problems quickly. This paper is dedicated to a specific application of optimization, inverse analysis. In a first stage, a range of reverse analysis applications are considered such as material rheological and tribological characterization, identification of heat transfer coefficients and, finally, the estimation of Time Temperature Transformation curves based on existing Continuous Cooling Transformation diagrams for steel quenching simulation. In a second part, a novel inverse analysis application is presented in the field of cold sheet forming, the identification of the material anisotropic constitutive parameters that allow matching with the final shape of the component after stamping. The advanced numerical methods used in this kind of complex simulations are described along with the obtained optimization results. This article shows that automatic optimization coupled with Forge® can solve many inverse analysis problems and is a valuable tool for supporting development and design of metals forming processes.

• Periodical: Key Engineering Materials (Volumes 611-612)
• Pages: 1494-1502
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.611-612.1494
• Online since: May 2014
• Authors: Stephane Marie*, Richard Ducloux, Patrice Lasne, Julien Barlier, Lionel Fourment
• Keywords: Automatic Optimization, FORGE®, Inverse Analysis, Parallel Solving, Parameter Identification, Sheet Forming, Stamping

References

[1] Wagoner R.H., Chenot J. -L., Metal forming analysis, Cambridge Univ. Press, Cambridge, (2001).

[2] Chenot J. -L., Fourment L., Ducloux R., Wey E., Finite element modelling of forging and other metal forming processes, 13th ESAFORM Conference on Material Forming, Brescia, Italie, (2010).

DOI: 10.1007/s12289-010-0781-5

[3] Coupez T., Marie S., From a Direct Solver to a Parallel Iterative Solver in 3-D Forming Simulation, The International Journal of Supercomputer Applications and High Performance Computing, volume 11, number 4, pages 277-285, Winter (1997).

DOI: 10.1177/109434209701100402

[4] Emmerich M., Giotis A., Ozdemir M., Bäck T., Giannakoglou K., Metamodel-assisted evolution strategies, In Parallel Problem Solving from Nature VII, pages 362-370, (2002).

DOI: 10.1007/3-540-45712-7_35

[5] Ducloux R., Marie S., Monnereau D., Behr N., Fourment L., Ejday M., Automatic optimization techniques applied to a large range of industrial test cases using metamodel assisted Evolutionary Algorithm, Numiform 2010, Pohang, Korea, June 13-17, (2010).

DOI: 10.1063/1.3457642

[6] Fourment L., Ducloux R., Marie S., Ejday M., Monnereau D., Masse T., Montmitonnet P., Mono and Multi Objective optimization techniques applied to a large range of industrial test cases using metamodel assisted evolutionary algorithms, Numiform 2010, Pohang, Korea, (2010).

DOI: 10.1063/1.3457642

[7] Aliaga C., Massoni E., Louin J.C., Denis S., 3D Finite element simulation of residual stresses and distortions of cooling steel workpieces, Proceedings of the 3rd International Conference on Quenching and Control of Distorsion, page 288, 24-26, Prague, République Tchèque, mars (1999).

[8] Liu Z. G., Lasne P., Massoni E., Formability study of magnesium alloy AZ31B, The 8th International Conference and Wokshop on Numerical Simulation of 3D Sheet Metal Forming Processes (Numisheet 2011), AIP Conference Proceedings, Volume 1383, pp.150-157 (2011).

DOI: 10.1063/1.3623605

[9] Coupez T., Metric construction by length distribution tensor and edge based error for anisotropic adaptive meshing, J. of Computational Physics 230 (2011) 2391-2405.

DOI: 10.1016/j.jcp.2010.11.041