MULTI-LEVEL DESIGN PROCESS FOR 3-D PREFORM SHAPE OPTIMIZATION IN METAL FORMING

Abstract In this paper, a 3-D preform shape optimization method for the forging process using the reduced basis technique is developed. Several critical techniques and new advances that enable the use of the reduced basis technique are presented. The primary objective is to reduce the enormous number of design variables required to define the 3-D preform shape. The reduced basis technique is a weighted combination of several trial shapes to find the best combination using the weights for each billet shape as the design variables. A multi-level design process is developed to find suitable basis shapes or trial shapes at each level that can be used in the reduced basis technique. Each level is treated as a separate optimization problem until the required objective – minimum strain variance and complete die fill – is achieved. Excess material, or the flash, is predetermined as per industry requirements and the process is started with geometrically simple basis shapes that are defined by their shape co-ordinates. This method is demonstrated on the preform shape optimization of a geometrically complex 3-D steering link.

[1]  Raghavan Srinivasan,et al.  Optimum Design of Forging Die Shapes Using Nonlinear Finite Element Analysis , 1993 .

[2]  S. M. Hwang,et al.  Application of a genetic algorithm to the optimal design of the die shape in extrusion , 1997 .

[3]  N. Zabaras,et al.  A continuum sensitivity method for the design of multi-stage metal forming processes , 2003 .

[4]  Ramana V. Grandhi,et al.  A design approach for intermediate die shapes in plane strain forgings , 1991 .

[5]  Ramana V. Grandhi,et al.  Computer aided preform design in forging using the inverse die contact tracking method , 1996 .

[6]  S. M. Hwang,et al.  Preform design in shell nosing at elevated temperatures , 1987 .

[7]  Ramana V. Grandhi,et al.  Sensitivity analysis based preform die shape design using the finite element method , 1997 .

[8]  Garret N. Vanderplaats,et al.  Numerical optimization techniques for engineering design , 1999 .

[9]  Jean-Loup Chenot,et al.  Adjoint state method for shape sensitivity analysis in non‐steady forming applications , 2003 .

[10]  Naksoo Kim,et al.  Computer-aided preform design in forging of an airfoil section blade , 1990 .

[11]  R. M. Hicks,et al.  Wing Design by Numerical Optimization , 1977 .

[12]  J. Chung,et al.  Application of a genetic algorithm to process optimal design in non-isothermal metal forming , 1998 .

[13]  Hyunbo Shim Optimal preform design for the free forging of 3D shapes by the sensitivity method , 2003 .

[14]  T. T. Do,et al.  Sensitivity Analysis and Optimization Algorithms for 3D Forging Process Design , 2004 .