Simulation-enabled approach for defect prediction and avoidance in forming product development

In the current metal-forming product development paradigm, productivity, quality and production cost are three overriding issues. Among them, the product quality is the most critical one. In up-front design process, prediction and assessment of product quality is a non-trivial issue as there are many factors affecting product quality, which could include material metallurgical, mechanical plastic and thermal behaviours and the interaction and interplay in-between the billet material and tooling. Furthermore, the metal-formed part design, process determination and configuration, tooling design also affect the product quality. To ensure the “right the first time design” from product quality improvement perspective, all the affecting factors need to be investigated and their relationship with product quality to be established. In this paper, a simulation-enabled process and tooling configuration for product quality improvement is addressed and the methodology for prediction of product quality via plastic flow simulation is presented. Through case studies, the developed approach is illustrated and its efficiency is verified.

[1]  M. S. Yong,et al.  Die fatigue life design and assessment via CAE simulation , 2008 .

[2]  M. S. Yong,et al.  CAE enabled methodology for die fatigue life analysis and improvement , 2005 .

[3]  D. M. Petty Application of process modelling - an industrial view , 1996 .

[4]  Peter Hartley,et al.  Numerical simulation of the forging process , 2006 .

[5]  Manfred Geiger,et al.  Estimation of tool life in bulk metal forming based on different failure concepts , 1998 .

[6]  Taylan Altan,et al.  Simultaneous Determination of Flow Stress and Interface Friction by Finite Element Based Inverse Analysis Technique , 2003 .

[7]  Stefania Bruschi,et al.  Testing and Modelling of Material Response to Deformation in Bulk Metal Forming , 2004 .

[8]  Stefania Bruschi,et al.  Integrating physical and numerical simulation techniques to design the hot forging process of stainless steel turbine blades , 2004 .

[9]  P. M. Dixit,et al.  Residual stresses in cold axisymmetric forging , 2003 .

[10]  John Monaghan,et al.  Failure analysis of cold forging dies using FEA , 2001 .

[11]  P. De,et al.  Finite element modeling of rolling process and optimization of process parameter , 2006 .

[12]  Ming-Wang Fu,et al.  The simulation of the viscoplastic forming process by the finite-element method , 1995 .

[13]  Shiro Kobayashi,et al.  Metal forming and the finite-element method , 1989 .

[14]  C. H. Lee,et al.  New Solutions to Rigid-Plastic Deformation Problems Using a Matrix Method , 1973 .

[15]  Manfred Geiger,et al.  Tool life and tool quality in bulk metal forming , 1992 .

[16]  Zijian Luo,et al.  The prediction of macro-defects during the isothermal forging process by the rigid-viscoplastic finite-element method , 1992 .

[17]  M. W. Fu,et al.  A methodology for evaluation of metal forming system design and performance via CAE simulation , 2006 .